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SHS Lite – User Guide

1. Original Random adult jind wt X January2001 New code from question RB2 Affordable housing Original Random adult ind wt JFebruay1999 No little traffic Original Random adult ind wt JFebruay1999 Poorly maintained rundown Original Random adult ind wt JFebruay1999 Fast speeding traffic Original Random adult ind wt X JFebruay1999 Problems with road pavement maintenance Original Random adult ind wt JFebruay1999 b3ac 1999 2000 Neighbourhoods Pollution smells problems with industry 1 1 1 Original X jRandomadut jJind wt February1999 O b3ad 1999 2000 Neighbourhoods Inadequate lighting streetlighting Original Random adult jJind wt Februay1999 CT O bb3ae 1999 2000 Neighbourhoods Lack of amenities doctor bank post office et 1 Original Random adult jind wt February1999 CTC O rb3af 1999 2000 Neighbourhoods No sense of community Original Random adult X jJind wt JFebruary 1999 d Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relat
2. Origna X Househod X l wt X February1999 rfl0a 1999 2000 Local council Level of agreement with statement Council provides high quality services Original Randomadult ind wt February 1999 December 2002 CC Local council Level of agreement with statement Council does the best it can with money available Original Random adult ind wt February 1999 December 2002 1 1 1 1 1 11 Level of agreement with statement Voting in local elections is important Original Random adult ind wt February 1999 December 2002 1 1 1 1 1 11 rfla 1999 2000 Local council Contacted Council about Refuse bincollection Original Randomadult ind wt February 1999 December 2002 CC Local council Contacted Council about Council Tax fOrignal Random adult ind wt February 1999 December2002 1 Local council Contacted Council about Environmental Health lOrignal Random adult ind wt February 1999 December2002 1 1 Local council Contacted Council about Planning Original JRandomadult ind wt February 1999 December2002 1 1 Local council Contacted Council about Building control flOrignal Rando
3. IheSand 2003 2004 Health caring and childcare The childcare that use meets the needs of my child Original Randomchid j rankidwt April 2003 P IheSane_ 2003 2004 Health caring and childcare It was easy to get a place in the childcare that use for my child Original Randomchid jrankidwt April 2003 P IheSanf_ 2003 2004 Health caring and childcare The times of the childcare that is available to me are convenient Original Randomchid jrankidwt April 2003 IheSang_ 2003 2004 Health caring and childcare It is difficult to find out what childcare is available aroundhere Original Randomchid jrankidwt April 2003 P IheSna_ 2003 2004 Health caring and childcare Uses childcare for child s development Original Randomchid jrankidwt April 2003 Ihesnb 2003 2004 Health caring and childcare Uses childcare to enableself partner to work Original Randomchid jrankidwt April 2003 P IheSnc_ 2003 2004 Health caring and childcare Uses childcare to enable self partner to work more Original Random child jrankidwt April 2003 P IheSnd 2003 2004 Health caring and childcare Uses childcare to improve own partner s choic
4. Safe low crime Original Random adult ind wt JFebruay1999 Good outlook view Original Random adult ind wt JFebruay1999 Quiet peaceful Original Random adult ind wt JFebruay1999 Friendly people Original Random adult ind wt JFebruay1999 1 ib2h 1999 2000 Neighbourhoods Convenient shop amenities Original X jRandomadut X jJind wt February1999 O ib2i 1 1999 2000 Neighbourhoods Good local shops Original Random adult jJind wt Febrary1999 O ib2j 1999 2000 Neighbourhoods Good local leisure facilities Original Random adult jind wt February1999 O ib2k 1999 2000 Neighbourhoods Good local schools Original Random adult jJind wt Febrary1999 O ib2 1999 2000 Neighbourhoods Good facilities for children Original X jRandomadut X jJind wt 3 February1999 O ib2m 1999 2000 Neighbourhoods Good neighbours Original Random adult find wt Febrary1999 CT O ib2n 1999 2000 Neighbourhoods Other
5. Economic activity Random adult SIC sector Derived Random adult find wt X February1999 Economic activity Broad SOC codes for random adult ooo Derved Randomadult find wt February1999 Economic activity Economic activity Random adult NS SEC classification Derived Random adult find wt lApri2003 jReplaced SEG April 2003 Economic activity Random adults hours worked Derved Randomadult j ind wt X February1999_ 1 Economic activity Random adults hours worked banded Derved Randomadult find wt February1999 Economic activity None ooo JOrignal Random adult j ind wt X lFebruary1999 Economic activity On the job training Original Random adult find wt X February1999 Economic activity An FE college course rriginal Random adult find wt X February1999 Economic activity University based course CY riginal Random adult find wt February1999_ Economic activity Distance learning Open University Origna Randomadult find wt February1999_ Economic activity School sooo JOrigna Random adult j ind wt __ February 1999 Economic activity Adult Education or evening class
6. Use of car to go to library Original Random adult nd wt X Aprl2003 1 0 1 0 caruse 2003 2004 Transprt Cardependency how often uses caroverall Derived Random adult nd wt X Aprl2003 1 1 0 0 easyncar 2003 2004 Transprt Car dependency how easy trips without carareoveral TT Derved X Randomadut X nd wt X Aprl2003 1 0 0 1 carplana 2003 2004 Transprt Lookedataroad map Original Random adult nd wt X Aprl2003 1 1 0 0 1 carplanb 2003 2004 Transprt Asked a friend Original Random adult nd wt X Aprl2003 carplanc 2003 2004 Transprt Telephoned the AA or RAC Original Random adult nd wt X Aprl2003 1 1 1 carpland 2003 2004 Transpot Contacted the venue attraction you are visiting Original Random adult nd wt X Aprl2003 1 0 0 carplane 2003 2004 Transpot Used route planning software or a journey planner onthe Internet Original Randomadut X j nd wt X Aprl2003 1 0 0 1 carplanf 2003 2004 Transport Used Transport Direct internet portal Original Random adult id wt X j Aprl2003 1 Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced carplang 2003 2004 Tran
7. 7 O hd 1999 2000 Transprt Number of motor vehicles available Orignal Househod la wt X February1999 helo 1999 2000 Transprt How does the random schoolchild usually travel to school Orignal Househod la wt February1999 OT hel 1999 2000 Transports Would it be possible for schoolchild to use public transport forschool Original Household la wt February 1999 OT lic dis 1999 2000 Transprt People aged 16 plus disqualified from driving Derived Househod la wt X February 1999 April 2003 lic ful 1999 2000 Transprt People aged 16 plus with a full driving licence Derived Household la wt February 1999 April 2003 lic nev 1999 2000 Transprt Peopleagedl6plus with no licence TT Derived Household la wt X February 1999 April 2003 lic prov 1999 2000 Transprt People aged 16 plus with a provisional drivinglicencee Derived Househod la_ wt X February 1999 April 2003 People aged 16 plus suspended from driving medical Derived Household Jla wt February1999 jAprl2003 1 O licence 1999 2000 Transprt Whether random adult has a driving licence Derived Randomadult ind wt X February 1999 From April 2003 original variable for RA
8. Househod la wt X January 2002 lproptype 1999 2000 Housing Property type Derived Household la wt X February1999 alo 2001 2002 Housing Number of periods of homelessness in pastfiveyears 1 Original Randomadult ind wt January 2001 December2002 gt 1 1 ialona 2003 2004 Housing Threatened with homelessness Origna Randomadut jind wt X April 2003 P ralOnb 2003 2004 Housng jJActullyhomeless Original Random adult jind wt April 2003 ialonc 2003 2000 9X Housing jSleptrough Original Random adult jind wt April 2003 ralOnd 2003 2004 Housing j Stayed with friends or relatives Origna Random adult jind wt X JApril2003 P alone 2003 2004 Housing Hostel refuge B amp B o o JOrgnal Random adult jind wt April 2003 iralonf 2003 2004 Housng jOtherinsecure accommodation Origna Randomadut X jind wt X April 2003 None of these Original Random adult ind wt X Aprl2003 O all 2001 2002 Housing Everapplied to local council because of homelessness Original Randomadult ind wt January 2001 December2002 gt allan 2003 2004 Housing jTenurepriorto homelessness Or
9. Figure 32 Travel to work then banded age How random adult usually travels to work education Banded age of random Li adult Crosstabulation Statistics How random Walking Banded 1H to 24 adult usually age of 96 ta 34 travels to random 3510 44 workeducation adult 45 to 59 B0 to 74 5 plus Pivoting Trays Driver carvan Banded 16 to 24 age of 25 to 34 random 35 to 44 aul 45 to 59 BO ta 74 T5 plus Passenger carvan Banded 16 to 24 age of 25 to 34 random ato 44 SE 45 to 59 B to 74 T5 plus SHS Lite User Guide Version 1 0 Page 43 Figure 33 Banded age then travel to work How random adult usually travels to work education Banded age of random adult Crosstabulation a Pivoting Trays1 coumt Banded 16t0o 24 How random Walking age of adult usually Driver carvan random travels to Passenger carvan adult wu orkeducatian Motorcycle moped Bicycle School bus Works bus Ordinary service bus Taxi minicab Fail Underground Ferry Aeroplane Other 251034 Howrandom Walking adult usually Driver carvan travels to Passenger carvan workfeducation Motorcycle moped Bicycle School bus Works bus Ordinary service bus Taxi minicab Fail Underground Ferry Layers can be useful for large tables with nested categories of information By creating layers you simplify the look of the table making it easier to read Layers work best when the table has at least three variables
10. 209 209 209 209 S C VC WEC YC 6 209 Yo T 000 C 9 T YC C YoL C Yo YC E bY St 200 WL E YoL t WL E 9 S t vt YC E 200 YoL C YC C 9 000 I eC YC t 8 CV 9 Y 8 Y 200 Yo S Yoo S bt Yo S Yo S Yo 8 Y 209 Y YC Y 8 WC E Ye C QOS T S YUL bY 8 bY 6 C OI 8 0T C VI S TT L TT 8 TI L II S TT C VI 8 0T C 0T bY 6 bY 8 YUL 2b l6 001 7056 06 98 08 GL 700 99 09 99 09 HSY OV PGE 7 00E PGG 7006 70S 0 9 uoniodoiq Page 27 SHS Lite User Guide Version 1 0 6 Analyzing the Data 6 1 Using Tables When data from the SHS is reported by the Scottish Executive a number of reporting conventions are followed to make the analysis clear and to avoid undue emphasis being placed on findings that are unreliable We would recommend that other users follow similar rules All tables are presented in the format dependent variable by independent variable where the independent variable is being used to examine or explain variation in the dependent variable Thus a table titled housing tenure by household type shows how housing tenures vary among different household types All tables have a descriptive and numerical base showing the population or population sub group examined in it Bases are shown unweighted Reporting conventions for the SHS show percentages in tables rounded t
11. Randomadult find wt X January2002 O relOe2k 1999 2000 Transprt j Agreement fares are good value TT Origna Random adult jind wt X January2002 1 O rel2main 1999 2000 Transprt RE12 Main reason for not using buses more Origna Random adult jind wt X JApril2003 P ei2a 1999 2000 Transprt REl2Nothingdiscorages Orignd Random adult find w Juy1999 O rel2aa 1999 2000 Transpt jJREI2Givenlifts Original Random adult find wt X Juy1999 rel2ab 1999 2000 Transport jREl2Toocrowded Original Randomadut X find wt Juy1999 rel2ac_ 1999 2000 Transprt jREl2Dontfeelsafenervous TT Orignd Random adult find wt X Juy1999 rel2ad_ 1999 2000 Transprt REl2Llazinss Original Random adult find w X Juy1999 rei2ae 1999 2000 Transprt RE12 No suitable bus service available Origna Random adult jind wt Juy1999 rei2af 1999 2000 Transprt RE12Don tknow bustimes route fares Origma Randomadut jind wt Juy1999 rei2ag 1999 2000 Transprt RE12 Too dificult with small children pushchars Origna Randomadut find wt X Juy1999 rel2ah 1999 2000 Transprt RE12 Bus drivers rude u
12. T T EE T ete L 4 b SPS5 Processor is ready En shs lite reduced flat file 180204 sav SPSS Data Editor File Edit View Data Transform Analyze Graphs Utilities Window Help ems 3 el eI A Fre sels s O 1 unigid 1 000100001 mgd la wt rand ok ind wt kid ok dyear dateint month year la shs Bcla new 1 1000100001 1 27 Complete r 1 50 No valid ran 2000 data 04 01 00 1 00 2000 00 Glasgow Ci Large urba Larg 1000100002 1 27 Complete r 1 50 No valid ran 2000 data 05 01 00 1 00 2000 00 Glasgow Ci Large urba Larg 1000100003 1 27 Complete r 75 No valid ran 2000 data 05 01 00 1 00 2000 00 Glasgow Ci Large urba Larg 4 1000100004 1 27 Complete r 75 No valid ran 2000 data 05 01 00 1 00 2000 00 Glasgow Ci Large urba Larg S 1000100005 1 21 Complete r 65 No valid ran 2000 data 05 01 00 1 00 2000 00 North Lanar Large urba Larg f 1000100006 1 21 Complete r 1 31 Valid rando 1 20 2000 data 05 01 00 1 00 2000 00 North Lanar Large urba Larg 1000100007 1 13 Complete r 57 No valid ran 2000 data 05 01 00 1 00 2000 00 Fife Other urba Othe 8 1000100008 1 13 Complete r 1 15 No valid ran 2000 data 05 01 00 1 00 2000 00 Fife Other urba Othe g 1000100009 1 13 Complete r 57
13. The names of the datasets included on the CD may vary from the one displayed above Note 3 2 Viewing the Dataset There are two ways to view the information contained in the SHS Lite dataset Data View and Variable View e Data View displays each household questioned as a separate row and each questionnaire item as a separate column see Figure 2 on page 9 e Variable View displays each questionnaire item as a separate row and each variable attribute as a separate column see Figure 4 on page 10 SHS Lite User Guide Version 1 0 Page 3 2 1 Switching Between Views You can switch from one view to the other by choosing one of the following methods e Clicking Data View 4 Variable View at the bottom left of the screen e Selecting View Variables or Data from the menu bar e Pressing Ctrl T on the keyboard 3 2 2 Viewing Value Labels Initially the SHS Lite dataset will be displayed as values in Data View It can be easier to understand this data if you display its value labels This feature can be turned on or off by choosing one of the following methods e Selecting View Value Labels from the menu bar e Clicking on the toolbar Figure 2 displays the sus Lite Values Figure 3 displays Value Labels For example compare the la column in each Figure Note 3 2 3 Data View Many of the features in this view are similar to those of a spreadsheet however e Rows are cases For example each househo
14. 0 rb3m 1999 2000 X Neighbourhoods Nowhere for children to pay Original Random adult jid wt X Februay1999 1 amp b3n 1999 2000 Neighbourhoods Noise 0 00 0 0 00 0 0 Orgia Random adult nd wt February 1999 1 0 b3o 1999 2000 X Neighbourhoods Young people hanging about nothingfor young peopletodo Original Random adult id wt X Februay1999 1 b3p 1999 2000 Neighbourhoods Parking problems 1 100 Origna Random adult nd wt X Februay1999 1 amp 3 b3q 1999 2000 X Neighbourhood Nothing fOrignal Random adult nd wt February 1999 1 0 amp 1 1 0 b3r 1999 2000 Neighbourhoods Other 1 0 1 1 0 1 1 1 1 1 11 1 JOrigna Random adult nd wt X jFebruay1999 1 b3s 2001 2002 Neighbourhoods jFast speedingtraffic Original Random adult ind wt X Januay2001 New code from question RB3 b3t 2001 2002 Neighbourhoods jRemoteness isolation Original Random adult ind wt X Januay2001 New code from question RB3 b3u 2001 2002 Neighbourhoods Litter rubbish Original jRandomadut ind wt X Januay2001 New code from question RB3 b3v 2001 2002 Neighbourhoods Property garden inpoorcondition Original Random adult ind wt X Januay2001 New code from question RB3
15. 1 Original Random adult find wt X February1999 CTC irfi3d 1999 2000 Local services ConvenienceofGrocery Foodshop Original jRandomadut X jJind wt February1999 O if13e 1999 2000 Local services ConvenienceofChemists 1 1 Original Random adult jJind wt February1999 O Local services Convenience of Outpatients Original jRandomadult ind wt X February 1999 f Local services Convenience of Public Transport Original JRandomadult X ind wt February1999 CTC ibi 1999 2000 Neighbourhoods How rates the area as a place to live Original Random adult jind wt February1999 CT O ib2a 1999 2000 Neighbourhoods Area well maintained Original Randomadut X jJind wt February1999 O b2aa 1999 2000 Neighbourhoods Safe slowtraffic Original Random adult X jJind wt February1999 CT O Good public transport Original Random adult ind wt JFebruay1999 Nicely landscaped open spaces Original Random adult ind wt JFebruay1999
16. 2 3 Other 10 Hanes 9 i E Don t know never thought about it 11 Person 6 1 2 3 Person 7 1 2 3 Person 8 1 2 3 HD DRIVING AND TRANSPORT Person 9 1 2 3 Person 10 1 2 3 Ask HC7 for all household members who use the internet HD6 DO YOU OR ANYBODY IN YOUR HOUSEHOLD coded 1 at hc6 HAVE AN ORANGE BADGE ISSUED BY THE LOCAL AUTHORITY OR BLUE BADGE ISSUED INTERNET HC7 1A HC7 10K CONCESSIONS TO DISABLED PEOPLE WHO At home 1 TRAVEL EITHER AS CAR DRIVERS OR At another person s home 2 PASSENGERS At work but for personal use 3 HD6 1 HD6 11 School college university other educational Person 1 1 establishment 4 Person 2 2 A government or council office 5 Person 3 3 Community or voluntary centre organisation 6 Person 4 4 Internet caf or shop 7 Person 5 5 Mobile W AP on the move 8 Person 6 6 Public library 9 Person 7 7 Somewhere else 10 Person 8 8 Don t know 11 Person 9 9 Person 10 10 Ask HC7B if any person coded 1 At Home at HC7 None 11 HC7B AND WHAT METHODS DO MEMBERS OF THE Ask all HD7 HOUSEHOLD USE TO ACCESS THE INTERNET FROM YOUR HOME HD7 and HD8 now ask about CARS whereas in previous HC7BA HC7BH years it asked about motor vehicles which would include vans motorcycles and other vehicles Personal computer 1 Laptop computer 2 HD7 ARE THERE ANY CARS NORMALLY AVAILABLE WAP mobile phone 3 FOR PRIVATE USE BY YOU OR
17. 2nd floor 4 ard 4th floor 5 5th floor or higher 6 Four in a block 7 HB3B RECORD THE TOTAL NUMBER OF FLOORS IN THE BUILDING INCLUDING BASEMENTS OR SEMI BASEMENTS Only ask HB4 if other coded 3 at HB1 HB4 IS Iss A caravan mobile home or houseboat 1 Some other kind of accommodation 2 Ask all HB5 HB5 IN WHICH OF THESE WAYS DO YOU OCCUPY THIS ACCOMMODATION Own it outright 1 Buying it with the help of a mortgage or loan 2 Pay part rent and part mortgage shared ownership 3 Rent it 4 Live here rent free including rent free in relative s friend s property excluding squatting 5 Squatting 6 Other please state 7 If HB5 3 or 4 ask HB6 Otherwise go to HC1 HB6 WHO DO YOU RENT THIS PROPERTY FROM Local authority Council 1 Scottish Homes 2 Housing Association Housing co operative or charitable trust 3 Employer of a household member organisation 4 Another organisation 5 Relative friend of household member 6 Employer of a household member individual 7 Individual private landlord 8 Other 9 HC SHARING ACCOMMODATION INTERNET ACCESS RECYCLING HC1 DOES YOUR HOUSEHOLD SHARE ANY ROOMS WITH ANY OTHER HOUSEHOLD IF YES Which rooms No none shared 1 Yes kitchen 2 Yes bathroom 3 Yes WC 4 Other 5 If HC1 coded 1 go to HC4 otherwise continue HC2 HOW MANY OTHER HOUSEHOLDS SHARE ROOMS WITH YOUR HOUSEHOLD One 1 Two 2 Three 3 Four or more
18. CC Local council Cannot transport materials to depot n Original Randomadult ind wt January2000 December2002 1 1 Local council Don t use enough not worth it fOrignal jRandomadult ind wt January2000 9 December2002 1 Local council Nowhere to store athome lOrigna Random adult ind wt January2000 December2002 1 rfog2 1999 2000 Local council Toomuchmess bther Origna X jRandomadult ind wt january2000 December2002 CC Local council Notinterested waste of time fOrignal jRandomadult ind wt January2000 December2002 1 Normally do not taken it this month Original Random adult ind wt January2000 December2002 1 rf i2 amp 1999 2000 Local council jOther Original X Raendomadult X ind wt X january2000 December2002 S Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed lind wt Don t know never thought about it Original Random adult ind wt January2000 December2002 Don t have time O
19. I I ion i igi F j igi F igi F igi F rd d rd6e rd6f rd g rd h rd i rd6j rd6k rd6l rd m rd n rd6o rd p rd q rd6r rd6s rd t rd6u rd v rd w rd x rd8main rd8b 1999 2000 RD8 Inconvenient Random adult February 1999 rd8c 1999 2000 RD8 No direct route Random adult February 1999 rd8d 1999 2000 RD8 Use my own car Random adult February 1999 rdf 1999 2000 RD8 Cost Random adult February 1999 rd8h rd8i rd8j rd8k rd8l rd8m rd8n rd8o rd8p rd8q rd8r rd8s rd8t rd8u rdv rd8w rd8x rd8z rd8aa rd8ab rd8ac rd8ad rd8e 1999 2000 RD8 Need a car for at work Random adult February 1999 rd8g 1999 2000 RD8 Work unsocial unusual hours Random adult February 1999 a d ala sm Co N AJW lt E PERENNE ENERO CENE pO gt Ls p ee Ps ee pO fs a Pr puo RNC Pe CREME n GNE AENEAN M s puo RNC aT rd8a 1999 2000 RD8 Takes too long Random adult February 1999 Oooo GNE Oooo e p es AT ONES n GNE AENEAN ir puo Ooo Oooo ONES n GNE AENEAN ir puo Oooo Oooo o pO fe ft n eg Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed ind wt rd9a 1999 2000 Transport RD9 Takes too long Original X jRandomadut jind wt ebruary 1999 rd9b ebruary 1999 rd9c ebruary 1999 rd9d ebruary 1999 rd9e ebruar
20. rg10s 1999 2000 Health caring and childcare No aids or adaptations Original Random adult ind wt X February1999 rg10t 1999 2000 Health caring and childcare Shower walk inbath Original Random adult ind wt X February1999 rg10u 1999 2000 Health caring and childcare Downsteirstollet Original Random adult ind wt X February1999 rg10v 1999 2000 Health caring and childcare Adapted chair stool Original Random adult ind wt X February1999 rg10x 1999 2000 Health caring and childcare Community alarm emergency phone Original Random adult find_wt___ February1999 rg10y 1999 2000 Health caring and childcare Deaffaciliies Original Random adult find_wt___ February1999 rg10z 1999 2000 Health caring and childcare Mobility scooter Original Random adult find_wt___ February1999 rg10aa 1999 2000 Health caring and childcare Aids for blind Original Random adult ind wt February1999 rg10ab 1999 2000 Health caring and childcare Adapted sockets taps etc Original Random adult ind wt X February1999 1999 2000 Health caring and childcare Do you have a home help atthe moment Original Randomaduit ind wt X February1999 rg12a 1999 2000 Health caring and childcare Home help from LA Orgia j Randomaduit ind wt X February1999 rg12b 1999 2000 Health caring and childcare Home help paid privately Original Random adult in
21. t Range t Range Output variables are strings All other values Continue Cancel Help Page 92 SHS Lite User Guide Version 1 0 We are now going to assign Value Labels for the recycle variable A Value Label is simply descriptive text to help you identify the value e Select the Variable View tab a gt Data view A Variable View f e Scroll down to the recycle variable recycle will be displayed as the last variable in the list You can press CTRL V on e Note the keyboard to navigate to it e Select the values cell for the recycle variable e Click EI to open the Value Labels dialog box e Enter the Value e Enter the Value Label Frequent see Figure 103 Figure 103 First Value Label to be added Value Labels Value Labels DK Value i Cancel Value Label Frequend pe EY s Os e Repeat these steps to add the remaining values see Figure 104 Value 2 Label Infrequent Value 3 Label Never cio MN Figure 104 All 3 Value Labels added Value Labels Value Labels DK Cancel Help 1 00 Frequent 2 00 Infrequent 3 00 Never SHS Lite User Guide Version 1 0 Page 93 You can now view the Value Labels for the recycle variable in Data View see j e Note Section 322 on page 8 We are now going to recode the numcars variable Instead of recoding into a new variable we are simply modifying the current values Before we recode
22. 10 Playing or downloading games 11 Playing or downloading music 12 Using chat rooms or sites 13 Using email 14 Using or accessing government official sites 15 Voting 16 None of these 17 RC8 AND WHICH OTHERS IF ANY DO YOU THINK YOU WOULD LIKE TO USE THE INTERNET FOR IN THE FUTURE Buying or ordering tickets and services 1 Finding information about goods and services 2 Finding information relating to education 3 General browsing or surfing 4 Grocery shopping 5 Looking for work 6 Non grocery shopping 7 On line learning 8 Paying rent 9 Personal banking financial investment activities 10 Playing or downloading games 11 Playing or downloading music 12 Using chat rooms or sites 13 Using email 14 Using or accessing government official sites 15 Voting 16 None of these 17 RC7B AS FAR AS YOU KNOW DOES YOUR HOUSEHOLD HAVE A BROADBAND INTERNET CONNECTION WHICH ALLOWS YOU TO DOWNLOAD WEB PAGES FAST SUCH AS A CABLE MODEM ADSL xDSL FIXED WIRELESS OR FIBRE OPTIC CABLE Yes 1 No 2 Don t know 3 Ask RC7C if have broadband internet connection RC7C WHAT TYPE OF BROADBAND CONNECTION DO YOU HAVE ADSL 3 Cable modem 4 ISDN 5 Other 6 Hefused 1 Don t know 2 RD TRAVEL AND TRANSPORT LICENCE WHICH OF THE PHRASES ON THIS CARD APPLIES TO YOU Currently hold a full driving licence car or motorcycle 1 Currently hold a provisional licence 2 Currently d
23. 4 HC3 AND DO YOU CHOOSE TO SHARE WITH OTHER HOUSEHOLDS OR DO YOU HAVE NO CHOICE Chose to 1 Have no choice 2 Ask all HC4 HC4 HOW MANY BEDROOMS DO YOU HAVE IN THIS PROPERTY PLEASE INCLUDE ANY BEDROOMS THAT ARE CURRENTLY BEING USED FOR OTHER PURPOSES as HC4B DO YOU HAVE FULL OR PARTIAL CENTRAL HEATING OR DO YOU NOT HAVE CENTRAL HEATING BY CENTRAL HEATING I MEAN HEATING UNITS CONTROLLED FROM A CENTRAL POINT EG RADIATORS STORAGE HEATERS UNDERFLOOR OR CENTRAL HEATING OR HOT AIR SYSTEM Full all main living areas at least half rooms 1 Partial fewer than half the rooms not all main living area 2 None 3 Don t know 4 Ask all HC5B HC5B DOES YOUR HOUSEHOLD CURRENTLY HAVE ACCESS TO THE INTERNET FROM HOME HC6 Yes 1 No 2 Don t know 3 Scottish Household Survey Questionnaire April 2003 to December 2004 HC6 AM GOING TO READ OUT THE NAMES OF THE Ask HC7E if coded 5 None of these at HC7D PEOPLE IN YOUR HOUSEHOLD AND FOR EACH THEY MAKE ANY USE OF THE INTERNET FOR THINGS THEIR PERSONAL AS OPPOSED TO WORK No fadilitigeauailanie 1 RELATED USE Facilities too far away 2 HA6 1 HA6 10 Don t know where facilities are 3 Cannot transport materials to recycling depot 4 YES NO DON T Do not use enough not enough to be worth it 5 KNOW Nowhere to store at home 6 Too much mess bother 7 Hee d i E Not interested waste of time 8 Normally do not taken it this month 9 Person 3 1
24. 4 If retired skip to RH19_20 38 Scottish Household Survey Questionnaire April 2003 to December 2004 RH12 WHY DID YOU NOT SEEK WORK IN THE LAST 4 WEEKS ANY OTHER REASONS DO NOT PROMPT CODE ALL THAT APPLY RH12A RH12M Waiting for the results of an application for a job being assessed by a training agent 1 In full time education student 2 Looking after the family home 3 Temporarily sick or injured 4 Long term sick or disabled 5 No jobs available 6 Do not need employment 7 Not yet started looking for work 8 Hetired from paid work 9 Lack of available childcare 10 Cannot afford childcare 11 Need training additional education 12 Other reason specify 13 Ask those unemployed or not in paid work HH13 FOR HOW LONG HAVE YOU BEEN LOOKING FOR PAID WORK OR A PLACE ON A GOVERNMENT TRAINING SCHEME Under 3 months 1 3 months but less that 6 months 2 6 months but less than 12 months 3 1 year but less than 2 years 4 2 years but less than 5 years 5 5 years or more 6 Don t know 7 RH14 HAVE YOU HAD A PAID JOB IN THE LAST FIVE YEARS Yes 1 No 2 If RH14 is no skip to RI1 HH15 INCLUDING ANY CURRENT SPELL OF UNEMPLOYMENT HOW MANY TIMES IN THE LAST 5 YEARS HAVE YOU BEEN UNEMPLOYED AND LOOKING FOR WORK FOR 4 WEEKS OR MORE Don t know 1 Refused 2 HH16 HOW DID YOU COME TO LEAVE YOUR LAST JOB WAS IT READ OUT That the job was temporary seasonal 1 IF FEMALE t
25. AbanPuX NEM IE GI mim Stim MiA oD chm Mo EX d Ed d cium AS aE milad ii 1 REEF O O fX E i oi fO E C F i AEGTPES MFA A ci m omea Ww mMm FAJE Ta i mig ig uo mizi S 3 a i E E m a o E E T misa ii m iTA d Em nira w mizde TE Th ati REAN execiTive amne statistics p P BI ba IT mi em tm SCOTTISH HOUSEHOLD SURVEY Questionnaire April 2003 to December 2004 Steven Hope MORI Scotland Chris Martin TNS Social A Scottish Executive National Statistics Publication Scottish Household Survey Questionnaire April 2003 to December 2004 Contents 1 SUIVEY OVCIVIOW ne BACKOrOUNG pl ee Mts o E E E TET ECOL CD Sere EL NE 2 Questionnaire Tor 2003 2004 ei epee deve icu io oou Make uen a Geib lal feral cen Venetus ee Dee ouais uei oe Question numbers in the script and variable names in the data ssesesseessssssssssessseeenn nennen nennen nennen nnn nns Scottish Household Survey Questionnaire April 2003 to December 2004 1 Survey overview Background to the SHS The Scottish Household Survey SHS is a major cross sectional survey that was first commissioned by the Scottish Executive in 1998 to provide reliable and up to date information on the composition characteristics and behaviour of Scottish households both nationally and at a sub national level The specific aims of the survey are as follows e to provide household and
26. Comparison of household types in the 2001 Census and the 2003 2004 SHS 2001 Census 2003 2004 SHS Yo n22 192 246 n230 822 Single adult 17 9 16 2 Small adult 16 9 16 7 Single parent 5 6 5 8 Small family 13 3 13 8 Large family 7 1 6 5 Large adult 11 2 9 5 Older smaller 13 0 15 1 Single pensioner 15 0 16 4 SHS data weighted by local authority size only As Table 4 2 shows the sample appears robust in terms of the variables associated with accommodation property characteristics There is a slight over representation of houses and under representation of flats and reflecting this over representation of owners who own their property outright relative to the Census and under representation rented and other tenures Table 4 2 Comparison of key variables in the 2001 Census and the 2003 2004 SHS 2001 Census 2003 2004 SHS n 2 192 246 n230 822 Property type House or bungalow 64 67 Detached 20 23 Semi detached 23 22 Terraced 20 22 Flat Maisonette or Apartment 35 33 Other 1 0 Tenure t Own outright 23 27 Own with mortgage 39 38 Rent 35 33 Local authority Scottish Homes 22 20 Housing Association Co operative 6 7 Private rented 7 6 Other 4 2 SHS data weighted by local authority size only f includes households in shared dwellings T Pays part rent and mortgage shared ownership included in Own with mortgage tt Although Scottish Homes no longer exists and had largely disposed of its rented h
27. Dialog Recall button if you have previously used Crosstabs o Click L if necessary to clear existing variables e Select rd3new and click gt to add it as a row variable e Select agerbnd2 and click gt to add it as a column variable see Figure 80 Figure 80 rd3new and agerbnd2 added as row and column variables Bl Crosstabs Haw s 4 lic prov ants Uk d lic sus rd3new aste 4 licence eset dq niumcars Calucna e d numveh sme a isa x B agerbndz 4 pass la Help 4b passnone Layer 1 af 1 gt passrail 4 filler Pese Nat i un NN Display clustered bar charts Suppress tables Statistics Cells Format For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so we will use only column percentages e Select to display the Cells dialog box see Figure 81 e Select the column percentages option Conti e Select to return to the Crosstabs dialog box e Select SHS Lite User Guide Version 1 0 Page 77 The Viewer window now opens to display the Crosstab table see Figure 82 Figure 81 Cell Display dialog box Crosstabs Cell Display Iv Observed Expected Cancel Help Percentages Residuals Unstandardized Standardized Total Adj standardized Column Percentages option Figure 82 How random adult usually travels to work education by New banded age of random adult
28. Methodology 2003 2004 sectors for the following reasons Firstly the use of postcode sectors would significantly increase the cost of fieldwork in these areas since they are much larger covering an average of 2 300 households compared with an average of 150 per ED Secondly in smaller local authorities such as the Orkney Islands and Clackmannanshire there would be too few postcode sectors to sample effectively without selecting a large number of addresses within each chosen PSU Thirdly EDs have certain advantages in terms of data linkage since they are directly compatible with Census Output Areas and can be easily linked with geo demographic systems The main disadvantage of using EDs is that they are relatively small averaging 150 households This means that there is a potential for larger design factors reducing the overall efficiency of the sample The calculation of design factors involves an examination of the survey measure across the PSUs The greater the variation between PSUs the higher the design factor since which PSUs are chosen is then likely to have a greater effect on the results If a small PSU is used the variation between them is likely to be increased since the variation within PSUs is likely to be less households in a small PSU will usually be more similar than those in a large PSU However the effects of the survey design on sampling errors can be considerably moderated by e sampling a large number of PSUs e
29. Otherwise go to HH56 HH54 CAN YOU TELL ME THE TOTAL PAY BEFORE DEDUCTIONS FOR THESE OTHER JOBS Write in to nearest a Don t know 999998 Refused 999997 Continue if amount entered at HH54 Otherwise go to HH56 HH55 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 Ask all HH56 HH56 SHOW CARDS I D LIKE TO TALK ABOUT INCOME FROM SOURCES OTHER THAN WORK ARE YOU OR YOUR PARTNER RECEIVING ANY OF THE BENEFITS LISTED ON THESE TWO CARDS Yes 1 No 2 Continue if coded 1 at HH56 Otherwise go to HH67 HH57 WHICH OF THESE ARE YOU OR YOUR PARTNER RECEIVING ANY OTHERS Code all that apply Income Support 1 Working Families Tax Credit 2 Working Tax Credit 3 Child Tax Credit 4 Job Seekers Allowance Income based 5 Job Seekers Allowance Contribution based 6 Housing Benefit 7 Council Tax Benefit 8 Child Benefit 9 Maternity Allowance 10 State Retirement Pension 11 Pension Credit 12 Statutory Maternity Pay 13 Some other state benefit please specify 14 Widows Pension or Widowed Parent s Allowance 15 None 16 HH57B DO YOU CLAIM THE CHILDCARE TAX CREDIT COMPONENT OF THE WORKING FAMILIES TAX CREDIT Yes 1 No 2 Don t know 3 HH58 AND WHICH OF THESE OTHER BENEFITS ARE YOU OR YOUR PARTNER RECEIVING Code all that apply Incapacity Benefit formerl
30. Rent private landlord 4 9 2 2 22 Sal 557 5 1 5 6 5 4 6 2 6 0 5 3 6 4 4 9 T 6 6 0 9 6 1 6 4 29 5 9 6 4 7 2 6 0 All Other Tenures Percent of Households 1 6 100 1 8 100 1 9 100 1 8 100 T 100 1 6 100 1 9 100 2 1 100 1 6 100 1 6 100 2 0 100 1 8 100 1 5 100 1 2 100 1 7 100 1 8 100 1 7 100 1 8 100 1 9 100 1 5 100 2 0 100 2 1 100 2 1 100 Apparent quarter to quarter changes in the figures must be interpreted with caution they could well be the result of sampling variability 22 Scottish Household Survey Methodology 2003 2004 Appendix 1 Scottish Mosaic Scottish MOSAIC is a neighbourhood classification system developed by Experian It draws on a large number of Census variables augmented by some published non Census information to generate a way of discriminating between postcodes in terms of housing and population types and densities The system has 12 broad groups subdivided into 47 types The whole of each postcode is allocated to whichever MOSAIC category appears the most appropriate on the basis of the overall statistics for the postcode This geo demographic system has been used in the sampling for the SHS At the sampling stage it enables us to stratify postcodes by MOSAIC type prior to drawing the addresses for the survey thus ensuring that our random sample of addresses properly reflects the profile of Scotland In 2000 the MOSAIC classification was extensively revised While
31. THE ADULTS IN WHOSE NAME S IS THE ACCOMMODATION IS OWNED OR RENTED Person 1 1 Person 2 2 Person 3 3 Person 4 4 Person 5 5 Person 6 6 Person 7 7 Person 8 8 Person 9 9 Person 10 10 Ask HIHA2 if more than one coded at HA1AN HIHA2 YOU HAVE TOLD ME THAT NAMES JOINTLY OWN OR RENT THE ACCOMMODATION WHICH OF THEM HAS THE HIGHEST INCOME FROM EARNINGS BENEFITS PENSIONS AND ANY OTHER SOURCES HA2 IF TWO OR MORE JOINT HOUSEHOLDERS HAVE THE SAME INCOME SELECT THE ELDEST Person 1 1 Person 2 2 Person 3 3 Person 4 4 Person 5 5 Person 6 6 Person 7 7 Person 8 8 Person 9 9 Person 10 10 Ask HA3 for each member of household This question was expanded to ask about each household member s relationship to each other household member HA3 COULD YOU TELL ME HOW PERSON IS RELATED TO PERSON HA3 1 1 HA3 O O PREVIOUS VARIABLES HA3 1 HA3 10 DERIVED Husband wife partner 2 Son or daughter 3 Stepson or daughter 4 Foster child Son in law daughter in law Parent Stepparent Parent in law Brother sister Stepbrother sister Brother sister in law Grandchild Grandparent Boarder lodger Other relative Other unrelated Ask HA4 for each household member HA4 COULD YOU TELL ME NAME S DATE OF BIRTH HA4A_1 HA4C_10 Ask HA5 for each member of the household HA5 PLEASE RECORD NAME S AGE HA5_1 HA5 10 Ask HA6
32. THE EVENINGS RB4YA AND RB4YC Travel by bus Travel by train Response options Very safe 1 Fairly safe 2 Not particularly safe 3 Not safe at all 4 Don t know 5 RAAAC HOW SAFE DO YOU FEEL WALKING ALONE IN YOUR NEIGHBOURHOOD AFTER DARK WOULD YOU SAY YOU FEEL Very safe 1 Fairly safe 2 A bit unsafe 3 Very unsafe 4 Don t know 5 RA4AD HOW SAFE DO YOU FEEL WHEN YOU ARE ALONE IN YOUR HOME AT NIGHT WOULD YOU SAY YOU FEEL Very safe 1 Fairly safe 2 A bit unsafe 3 Very unsafe 4 Don t know 5 25 Scottish Household Survey Questionnaire April 2003 to December 2004 RB4E2 HOW MANY TIMES IF AT ALL HAVE YOU HAD ANY DISPUTES OR SERIOUS PROBLEMS WITH NEIGHBOURS IN THE PAST 12 MONTHS Never nothing serious 1 Once 2 Twice 3 Three times 4 Four or more 5 Don t know 6 Refused 7 If RBAE is never nothing serious don t know or refused skip to RB8n Others continue RB4F THINKING ABOUT THE MOST RECENT INCIDENT DID YOU REPORT THE MATTER TO THE POLICE OR TO THE LOCAL COUNCIL RB4FA RB4FD Police 1 Council 2 Neither 3 Don t know can t remember 4 If RBAF is coded 3 or 4 go to RB8n If RBAF is coded 1 ask RB4G2 Others go to RB4H2 RB4G2 REGARDLESS OF WHETHER THEY WERE ABLE TO SOLVE IT WERE YOU SATISFIED OR DISSATISFIED WITH THE WAY THE POLICE RESPONDED TO YOUR PROBLEM Satisfied 1 Dissatisfied 2 Neither 3 No opinion 4 If RB4F is coded 2 as
33. Yes bank account 1 Yes building society account 2 Yes Credit Union account 3 Yes Post Office Card Account 4 No none of these 5 Refused HI2 AT THE MOMENT DO YOU OR YOUR PARTNER HAVE ANY MONEY SAVED OR INVESTED IN ANY OF THE PLACES MENTIONED ON THIS CARD Yes 1 No 2 Refused 3 Don t know 4 If HI2 is coded 1 ask HI3 Otherwise skip to HJ1 HI3 HOW MUCH DO YOU AND YOUR PARTNER HAVE SAVED OR INVESTED ALTOGETHER PLEASE TELL ME THE LETTER ON THIS CARD FOR THE GROUP IN WHICH YOU WOULD PLACE YOUR TOTAL SAVINGS A Under 1 000 1 B 1 000 4 999 2 C 5 000 9 999 3 D 10 000 15 999 4 E 16 000 29 999 5 F 30 000 74 999 6 G 75 000 or more 7 Hefused 8 If HB5 is 1 go to HK1 If HB5 is 2 or 3 ask HJ1 Others go to HJ3 21 Scottish Household Survey Questionnaire April 2003 to December 2004 HJ MORTGAGE AND RENT HJ1 CAN JUST CHECK DOES YOUR HOUSEHOLD HAVE A MORTGAGE OR LOAN OUTSTANDING ON THIS PROPERTY Yes 1 No 2 Hefused 3 Continue if HJ1 coded 1 Others go to HJ3 HJ1B IS THIS MORTGAGE LOAN An ENDOWMENT mortgage where your mortgage payments cover interest only 1 A REPAYMENT mortgage where your mortgage payments cover interest and part of the original loan 2 Other specify 3 Ask HJ2AN if HJ1B coded 1 others skip to HJ2 HJ2AN AT THE MOMENT HOW MUCH DOES YOUR HOUSEHOLD PAY EACH MONTH IN PAYMENTS FOR AN ENDOWMENT
34. alldc 2003 2004 Housing LAhousing homelessness department Origna Randomadut find wt X April 2003 alldd 2003 2004 Housing LA social work department Origna Random adult jind wt X April 2003 rallde 2003 2004 Housng j Adviceservice voluntary or statutory TT Origna Random adult jind wt X JApril2003 alldf 2003 2004 Housing Voluntary specialist homelessness accommodation or support agency jOrignal Randomadult jind wt X JApril2003 P ralldg 2003 2004 Housing jHealhcareservices Sooo o Origna Random adult find wt X April 2003 alldh 2003 2000 X Housing jOthr Original Random adult jJind wt April 2003 ralldi 2003 2000 Housing jNoneofthese Original Random adult jind wt X April 2003 rallfa 2003 2004 Housng Noteligibleforsupport Original Random adult jind wt X April 2003 rallfb 2003 2004 Housing Waitingperiodforsupporttoolong Origna Random adult jind wt X April 2003 P Support not available i e lack of resources Original Randomadult ind wt X Aprl2003 rallfd 2003 2004 Housng Support not available i e unwilling to help Origna Random adult jind wt X JApril2003 allfe 2003 2004 Housng j Availablesupportdid no
35. and correspondingly for English addresses to belong in Scotland To avoid this problem Ordnance Survey maps of the Scottish English border are manually inspected Addresses that are actually in England are excluded while those in English EDs that are in Scotland are appended to the adjoining Scottish ED Exclusions Special EDs It is customary in general population sampling of this kind to exclude special EDs which include prisons hospitals and military bases While prisons and hospitals do not generally have significant numbers of private households the same may not be true of military bases On the basis of Scottish MOSAIC classifications however such EDs account for just 0 5 of the population They are 1 http www scotland gov uk Publications 2005 05 23152516 25190 shows new housing completions of 24 057 in 2004 and a stock of dwellings of 2 366 000 at the end of 2003 making new housing 1 02 of the total 2003 stock Scottish Household Survey Methodology 2003 2004 therefore excluded from the sampling frame since interviewing on military bases would pose fieldwork problems relating to access and security Specific accommodation types The following types of accommodation are excluded from the survey if they are not listed on the Small User file of the PAF since it is a survey of private households e nurses homes e student halls of residence e other communal establishments e g
36. db hd J 4b hd 4 hdg g hell 4 hell 4 he15 d rd Zu JP i iw Display frequency tables Statistics Charts Format l LK click 9 The Viewer window now opens to display the Frequency table see Figure 51 We would NOT display the same output result by creating a multiple frequency using both agerband and rd5 variables This would result in a separate Note frequency table for each variable Section 8 3 on page 49 shows an example of a multiple frequency All data analyses carried out in this session will be grouped by banded age of Note the random adult agerband automatically You can however remove the split file by choosing Data Split File from the menu and then select the Analyse all cases do not create groups option SHS Lite User Guide Version 1 0 Page 57 Figure 51 How the random adult usually travels to work grouped by Banded age of the random adult 7 II 3 OutputB SPSS Viewer Sele File Edit View Insert Format Analyze Graphs Utilities Window Help salan w 3 Eler ool 3 5 45 How random adult usually travels to work education Em eme s b LE random adult Frequency Percent Valid Percent Percent Walking 15 1 0 Driver carvan Passenger carvan Bicycle School bus Yorks bus Ordinary service bus Rail Total Missing System Total 16 to 24 Valid Walking Driver carvan Passenger carvan Motorcycle moped Bicycle school bus Works bus
37. e g goods vehicle excursion bus etc 9 Motorcycle 10 Cycle 11 Walking 12 Other 13 TDGOOD1 IN GENERAL HOW USEFUL HAVE YOU FOUND TRANSPORT DIRECT TO BE Very useful 1 Fairly useful 2 Not very useful 3 Not at all useful 4 No opinion 5 Don t know 6 Ask TDGOOD if TDTIME 1 TDGOOD2 HOW USEFUL WAS TRANSPORT DIRECT ON THE LAST TIME THAT YOU USED IT Very useful 1 Fairly useful 2 Not very useful 3 Not at all useful 4 No opinion 5 Don t know 6 Ask TDBAD2 if TDGOOD1 3 or 4 or if TOGOOD2 3 or 4 TDBAD2 WHY DID YOU NOT FIND TRANSPORT DIRECT USEFUL NENNEN TRAVEL DIARY SECTION due to its complexity this section has not been included in full here The series of questions relating to one single stage journey are provided as an indication of the kind of information collected by the Travel Diary More complex questions relating to multi stage journeys or journeys involving a series of stages are not shown here The full Travel Diary is available on request from the SHS Project Manager see p 45 AS PART OF THIS RESEARCH WE ARE COLLECTING INFORMATION ON THE TRAVEL PATTERNS OF THE SCOTTISH POPULATION 33 Scottish Household Survey Questionnaire April 2003 to December 2004 RE15 DID YOU MAKE ANY JOURNEYS OR TRIPS OUT OF THE HOUSE YESTERDAY PLEASE TELL ME ABOUT EACH STAGE OF THE JOURNEY IF IT HAD MORE THAN ONE STAGE FOR EXAMPLE IF YOU TOOK THE BUS INTO TOWN AND THE
38. have been made This could result in future analysis showing the wrong information The original version of the dataset will always be available on the CD Methods of saving e Clicking on the toolbar which will update the changes to the current file e Choosing File Save As from the menu bar and specifying a different location for the data file Once you have done some analysis you will probably want to save Output windows This is discussed further in Section 7 3 on page 45 Note SHS Lite User Guide Version 1 0 Page 11 4 Variables and Weights 4 1 Variable Naming Most of the variables in the dataset are derived directly from the answer given to a question in the questionnaire In many cases the variable name will be the same as the question number Example variables e HA2 Highest income householder e HC4 Number of bedrooms e HD8 Number of motor vehicles e RAI How long lived at current address Looping Questions Some variables are asked of all household members creating up to ten responses for each household from the same question The variable names for these looped questions have a common root based on the question number plus an additional number to indicate the household member referred to For example question HAS asks the age of up to 10 household members the resulting variables are therefore named HA5_1 to HA5 10 Examples of looped variables e HA7_1 to HA7 10 Economic status
39. ind wt January 2001 J ral5 4 2001 2002 Housing Name on waiting list Don t know Origna Random adult ind wt January 2001 ral 2001 2002 Housing Looking to rent or buy 1 Origna X jRandomadut ind w January 2001 J Whether anyone in household previously rented current property Original Randomadul ind_wt_ February1999 S ras 1999 2000 Housing Who property was previously rented from 1 jOrigna jRandomadult ind wt February 1999 Ever experienced homelessness Original Randomadult ind wt Janury2001 CT J Number of times homeless in the past two years Original Randomadul Jjind wt X Aprl2003 CC re7 1999 2000 X Housing How many days trips taken by bicycle keeping fit etc jOrignal jRandomadult ind wt February 1999 Housing tenure Derived Household la wt jFebruay1999 Length of residence Derived Randomadult j ind wt February1999 1 1 1 he9 1999 2000 Local council Satisfaction with schooling
40. the SHS cannot provide estimates of unemployment that are comparable to official estimates e Household income the SHS collects income data from or about the highest income householder and where there is one their spouse This is not the same as estimates from the Family Resources Survey The SHS does not therefore provide comparable estimates of household income Although the SHS has a large sample that covers the whole of Scotland it has some geographical limitations because of the sample sizes in small local authorities and because it is designed to be representative only at national and local authority level This means SHS Lite User Guide Version 1 0 Page 5 e Users need to be mindful of the sampling errors for analysis and especially when this is based on breakdowns within a single local authority e tis not appropriate to undertake geographical analysis below local authority level since the sampling techniques used in some local authorities cannot guarantee representativeness Page 6 SHS Lite User Guide Version 1 0 3 Reading the Data 3 4 Opening SHS Lite e Within SPSS select File Open Data from the menu bar or click on the toolbar e Choose the location of the file and select the relevant dataset file Figure 1 Open File dialog box Open File Location of file shs lite dataset sav file File name shs lite dataset say Files of type SPSS sav Paste Cancel e Choose
41. trust or covenant 2 Maintenance payments 3 Rent from property or subletting including boarders 4 Dig money from other household members 5 Benefit from accident sickness scheme etc 6 Investment income 7 Student loan 8 Grant 9 Regular non work income from any other organisation please specify 10 Continue if respondent has partner Otherwise go to HH70 HH69 IS IT YOU YOUR PARTNER OR BOTH OF YOU WHO RECEIVE THAT OTHER INCOME HH69A HH69J RESP PART BOTH Occupational employer pension s 1 2 3 Benefit from annuity trust or covenant 1 2 3 Maintenance payments 1 2 3 Rent from property or subletting 1 2 3 Dig money 1 2 3 Benefit from accident sickness scheme 1 2 3 Investment income 1 2 3 Student loan 1 2 3 Grant 1 2 3 Other 1 2 3 Ask HH70 and HH71 for each income coded at HH68 HH70 HOW MUCH DID YOU AND YOUR PARTNER RECEIVE IN INOME LAST TIME YOU RECEIVED IT If both respondent and partner receive add two together Enter to nearest i Don t know 98 Refused 97 HH71 WHAT PERIOD DID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 None 98 HI FINANCIAL SERVICES SAVINGS AND HOUSING COSTS Ask all HI1 HI1 WHICH OF THESE ACCOUNTS IF ANY DO YOU OR YOUR PARTNER HAVE HI1A HI1E
42. wt February 1999 O Incarers2_ 1999 2000 Health caring and childcare Whether care is provided by non members ofthe household Derived Household la wt X February 1999 Indifactb 1999 2000 Health caring and childcare Banded number of activities found difficult Derived Random adult find wt X February 1999 O Indiffact 1999 2000 Health caring and childcare Number of activities found difficult Derived Random adult find wt X February 1999 O December 2002 Cd glOa 1999 2000 Health caring and childcare A wheelchair Original Random adult jind wt X February 1999 irglob 1999 2000 Health caring and childcare WalkingsticK cruthes o Origna Random adult jind wt X February 1999 1 7 O igl oc 1999 2000 Health caring and childcare Walking zimmerframe Original Random adult jind wt X February 1999 1 7 igl od 1999 2000 Health caring and childcare Trolley Original Random adult jind wt X February 1999 1 O glOe 1999 2000 Health caring and childcare Bed poles or ladders Origna Random adult jind wt X February 1999 O Irglof_ 1999 2000 Health caring and childcare Ramps Original Random adult jind wt X February 1999 1 7 O igl g 1999 2000 Health cari
43. 05 1 29 0 88 1 17 1 00 0 97 1 55 South Lanarkshire 1 13 1 07 0 94 1 30 1 07 1 27 1 13 1 11 Stirling 0 97 0 74 0 72 0 75 0 93 0 72 0 80 0 86 West Dumbartonshire 1 01 1 24 1 93 0 82 1 09 0 99 1 12 1 31 West Lothian 0 93 1 07 1 09 0 95 1 34 0 85 1 08 0 96 No other weight is applied across all cases in order to compensate adjust for the unequal probabilities of selection Strictly speaking however a corrective weight should be applied in those cases in which the Multiple Occupancy Indicator MOI on the Postcode Address File PAF is found to be inaccurate The reason for this is that a property type bias might otherwise be introduced For example if tenement properties were consistently found to contain multiple dwellings when the MOI had indicated that they contained just one each achieved interview at such an address should be given a weight proportional to the actual number of dwellings to compensate for the reduced probability of selection for each dwelling at that address All properties within that local authority area should then be weighted back down slightly in order that the actual and weighted sample sizes remain the same In practice the MOI was found to be inaccurate in only 2 of cases The impact of weighting to correct for these would have been negligible so it was decided not to weight by the MOI in order to avoid additional complexity in the weighting scheme for the survey 12 Scottish Household Survey Fieldwork outcomes 20
44. 1 1 1 1 1 11 Local council Satisfaction with contact re council tax Original Random adult ind wt February 1999 December 2002 1 1 1 1 1 11 Local council Satisfaction with contact re Environmental Original Random adult ind wt February 1999 December 2002 1 1 1 1 1 1 1 rf2d 1999 2000 Local council jSatisfaction with contact re planning Original X jRandomadult ind wt February 1999 December 2002 CC rf2e 1999 2000 Local council Satisfaction with contact re building Origna X jRandomadult ind wt February 1999 December 2002 1 1 O Local council Satisfaction with contact re lighting fOrignal Random adult ind wt February 1999 December 2002 1 1 rfzgg 1 1999 2000 Local council Satisfaction with contact re cleaning jOrignal X jRandomadult ind wt February 1999 December 2002 CC rf2h 1999 2000 Local council jSatisfaction with contact re road repairs Orignal jRandomadult ind wt February 1999 December 2002 CCC Local council Satisfaction with contact re pavements fOrignal X Random adult ind wt February 1999 December2002 1 1 11 Local council Satisfaction with
45. 1 11 Fife 1 11 1 22 0 84 0 99 0 89 1 03 0 96 0 99 Glasgow City 1 15 1 18 1 38 1 32 1 31 1 20 1 12 1 07 Highland 1 11 1 05 1 08 1 22 0 95 1 27 1 31 1 01 Inverclyde 1 00 0 97 0 90 1 02 1 35 0 92 0 71 0 69 Midlothian 0 82 0 86 0 72 1 01 0 73 0 84 0 77 0 78 Moray 0 73 0 60 0 92 0 93 0 67 0 72 0 76 0 87 North Ayrshire 1 04 1 00 1 47 1 28 1 35 0 83 1 27 1 12 North Lanarkshire 0 98 0 92 1 19 0 94 1 26 0 95 1 17 0 92 Orkney 0 19 0 20 0 13 0 18 0 20 0 19 0 15 0 15 Perth and Kinross 1 19 1 20 1 32 1 22 1 29 1 44 1 43 1 31 Renfrewshire 1 11 1 29 0 92 0 89 1 07 1 20 0 90 1 06 Scottish Borders 0 94 1 15 0 88 1 11 0 75 1 09 1 52 0 85 Shetland 0 18 0 22 0 18 0 25 0 19 0 20 0 17 0 22 South Ayrshire 1 05 1 05 1 20 0 80 1 16 1 06 0 99 1 45 South Lanarkshire 1 08 0 97 0 87 1 26 1 08 1 27 1 11 1 06 Stirling 0 97 0 77 0 77 0 71 1 05 0 72 0 82 0 93 West Dumbartonshire 1 03 1 20 1 90 0 86 1 62 1 06 1 10 1 56 West Lothian 0 88 1 00 1 09 0 95 1 14 0 79 1 12 1 05 Weighting for analysis based on the random schoolchild Data relating to the information collected about a random schoolchild needs to be weighted so that this information will represent correctly the population of schoolchildren resident within households If not it will proportionately over represent the characteristics and experiences of only children and under represent those of children from larger families The weight for the random schoolchild case is created by combining the number of schoolc
46. 1 Recoding randage into agerbnd2 Recoding the randage variable will allow us to decide on the age groups we would like to analyse We will have 3 broad age groups 16 to 30 31 to 65 and 66 to 100 e Select Transform Recode Into Different Variables from the menu bar e Select the randage variable and click gt e Enter the name agerbnd2 for the output new variable e Enter the optional label New banded age of random adult for the output new variable e Click see Figure 56 Figure 56 Recoding randage into new variable agerbnd2 MS Recode into Different Variables M ic Variable gt Output Variable umeric Variable uput varabte Dutput Variable Mame E SOMeESes gt hhwork randage agerbndz 3 numgen lagerbnd E generate Label a hihagebd New banded age of random 4 hihage 4 hihsex l j 3 hih_stat 4 eth_hih a hihecon Old and Mew Values 4 agerband a randecon JE Jasti Reset Cancel Help f Old and New Values e Click to recode the values e Inthe Old Value column select the first range option and specify the values 6 through 30 see Figure 57 e For the New Value enter see Figure 57 cick 88 Page 62 SHS Lite User Guide Version 1 0 Note Note Figure 57 Using the Range through option Recode into Different Variables Old an Old Value Mew Value C Value fe Walue System missing Sustem missing Copy o
47. 19 Figure 14 Value Labels showing labels added for values and 2 Value Labels Value Labels Enter Value Label Uk Value s Cancel Value Label Help Age group 0 15 prg 2 Age group 16 24 urs 4 7 Weights Although the SHS covers all local authorities the sample does not represent each authority in proportion to the population distribution between authorities small authorities are over sampled to allow analysis of individual local authorities after two years This means they have more interviews than a proportionate allocation would give them This is compensated by the fact that some local authorities the larger ones are under sampled When the data for the whole of Scotland is analysed or comparisons are made between two or more authorities the data need to be weighted to ensure that each local authority represents the correct proportion of the population Similarly the random adult data need to be weighted both to correctly represent local authorities and to account for the fact that adults in large households have less chance of being sampled than adults in smaller households Random adult data always need to be weighted The correct weight to be used with each of the variables can be found within the file named SHS Lite Variable Listing pdf on the accompanying CD Where there is no random adult or random child data the value of the weight will be zero LA_WT This is the weight that adjusts for diff
48. 2000 Community involvement Professional Societies or Associations Origna Randomadut jind wt X January2000 1 O fl2ak2 1999 2000 Community involvement IradeUnion Original Random adult jJind w X Januay2000 O rfi2al2_ 1999 2000 Community involvement Anothertype of organisation activity Origna Randomadut jind wt X January2000 O fl2ba2 1999 2000 Community involvement Playgroups or other children s activties Origna Randomadut find wt X January2000 O fl2bb2 1999 2000 Community involvement Activities or organisations working with young peope Original Random adult find wt X January2000 O fl2bc2 1999 2000 Community involvement Schoolboad Original Random adult jJind w j January2000 O rfl2bd2_ 1999 2000 Community involvement Parent Teacher Association Origma Random adult jind wt X January2000 O fl2be2 1999 2000 Community involvement Community Council Original Random adult jJind wt X Januay2000 4 O rfl2bf2_ 1999 2000 Community involvement Community safety Victim Support Neigbourhood Watch etc Origna Random adult find wt X January2000 O fl2bg2 1999 2000 Community involvement Chur
49. 3 D Any other White background 4 Bea AE HA12 HAS ANYONE YOU HAVE MENTIONED BEEN MIXED LIVING AWAY FROM THIS HOUSE FLAT E Any mixed background 5 CONTINUOUSLY FOR THE LAST 6 MONTHS ASIAN ASIAN SCOTTISH OR ASIAN BRITISH Yes 1 F Indian 6 No 2 G Pakistani 7 1 a H Bangladeshi 8 E HA13 if coded yes 1 in HA12 otherwise go to HB1 I Chinese 9 EM J Any other Asian background 10 HA13 PLEASE INDICATE WHICH PERSON PERSONS HA13 1 HA13 10 BLACK BLACK SCOTTISH OR BLACK BRITISH K Caribbean 11 Person 1 1 L African 12 Person 2 2 M Any other Black background 13 Person 3 3 Person 4 4 OTHER ETHNIC BACKGROUND Person 5 5 Any other background 14 Person 6 6 Person 7 7 Don t know 15 Person 8 8 Refused 16 Person 9 9 Ask HAQb f h b f the h hold erin 10 S or each member of the househo HC8BN WHO IN THIS HOUSEHOLD IF ANYONE HAS A HA9B WHAT RELIGION RELIGIOUS DENOMINATION NEED FOR INFORMATION TO BE TRANSLATED OR BODY DO YOU THEY BELONG TO FROM ENGLISH INTO ANOTHER LANGUAGE OR HA9B 1 HA9B 10 FORMAT SO THAT THEY CAN USE ACCESS OR Aione 1 READ INFORMATION FROM SERVICES SUCH AS Bs Chirchor Scolara 2 HEALTH SERVICES EDUCATION SERVICES D Other Christian 4 HC8 1 HC8 10 E Buddhist 5 Person 1 1 z e Person 2 2 H Jewish 8 Perona 3 Sikh 9 Person 4 4 Another religion 10 iFerson j 5 Person 6 6 Only ask HA9C if HA9B is A None
50. 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI26 AND HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THIS PAY a Can t say 98 Ask all RI56 RI56 I D LIKE TO TALK ABOUT INCOME FROM SOURCES OTHER THAN WORK ARE YOU RECEIVING ANY OF THE BENEFITS LISTED ON THESE TWO CARDS Yes 1 No 2 If no 2 at RI56 skip to RI67 Otherwise continue 41 Scottish Household Survey Questionnaire April 2003 to December 2004 RI57 WHICH OF THESE ARE YOU RECEIVING ANY OTHERS RI57A RA57M Income Support 1 Working Families Tax Credit FC 2 Working Tax Credit 3 Child Tax Credit 4 Job Seekers Allowance Income based 5 Job Seekers Allowance Contribution based 6 Housing Benefit 7 Council Tax Benefit 8 Child Benefit 9 Maternity Allowance 10 State Retirement Pension 11 Pension Credit 12 Statutory Maternity Pay 13 Some other state benefit please specify 14 None 16 If RI57 is coded 2 continue Others go to RI58 RI57B DO YOU CLAIM THE CHILDCARE TAX CREDIT COMPONENT OF THE WORKING FAMILIES TAX CREDIT Yes 1 No 2 Don t know 3 RI58 AND WHICH OF THESE ARE YOU RECEIVING ANY OTHERS RI58A RA58M Incapacity Benefit formerly Invalidity Benefit 1 Disabled person s tax credit 2 Disability Living Allowance Care Component 3 Disability Living Allowance Mobility Component 4 Industrial injury disablement benefit 5 Invalid care allowance 6 Se
51. C LIE 3 2 1 Sampling from the Postcode Address Fileuse a i r A a r a a a aa 3 2 2 Accuracy and completeness roras a AE 4 2 3 MUNDI GWENOG rc P 5 2 4 Overall Sample Sucre coin hehe steady bo eR buta etie EAE AEAEE E iene ia deen Pia alas 6 25 Primary sampling unitand cluster size iic nde e etre eoe o e arra osh a dtr a orta ar E RET d p ORDRE 6 2 6 Procedures for dealing with very small enumeration districts seseesesseseseeeeeeeenerenenmmenne 7 2 7 ottaulicauombylocal aulbor y Meg spits Ae dala Suan linea dae cntip sa Qaebica Pede pales sae vec auta emissa Puclomalent use ueste al n oed E P dae 8 2 8 Stratification within Tocal autfiorille S J cocta tacite eae ana sat vowed udi sasbseuae Cis Dade ee canat eoa tir adu sus sesta uuae tc aattasuseeu us bd uina 63 10 2 9 Allocating sample across the calendar year ccccccssesececeessceceeesecesseusececseseesseusecessacsecesseceesssegsseseetsaseseessageness 11 2 10 ipis c lejeiiisisigicicicielllope re EM 12 3 Data collection methods and instruments leeeeeeeeeeeeeeeee eren nnne 13 3 1 Use of Computer Aided Personal Interviewing CAPI cccccecseeeeceeeeeeeeeeeeeeeeeeeaeeeeeeeaeeeseaeeeeeeeeaeeeessaneeeeesaneeees 13 3 2 Questionnaire development and changes cccccccccsssceccceeccecceesececsusceecsessecsssececssaeeeecseaseeensaseseseseuesesseaseeensees 13 3 3 PIS or o deem MT
52. Ensuring development of expertise amongst existing staff Promoting and upholding the standards of the statistics profession e e e N This is a National Statistics publication This is a National Statistics publication It has been produced to high professional standards set out in the National Statistics Code of Practice and Release Practice Protocol http www statistics gov uk about ns cop default asp These statistics undergo regular quality assurance reviews to ensure that they meet customer needs They are produced free from any political interference Details of pre release access will be provided in the Scottish Executive Statistics Website under Forthcoming Heleases Correspondence and enquiries Enquiries on the Scottish Household Survey should be addressed to Josephine Dean Analytical Services Division Scottish Executive Development Department 1 F Victoria Quay Edinburgh EH6 6QQ Telephone 0131 244 8420 Fax 0131 244 7573 e mail shs scotland gsi gov uk General enquiries on Scottish Executive statistics can be addressed to Ryan Stewart Office of the Chief Statistician Scottish Executive 3 Floor West Rear St Andrews House EDINBURGH EH1 3DG Telephone 0131 244 0442 Fax 0131 244 0335 e mail statistics enquiries scotland gsi gov uk Advice on specific areas of Scottish Executive statistical work can be obtained from staff at the telephone numbers given below Scottish Executive Statis
53. Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH3 INTERVIEWER PROBE Is that exact or an estimate Interviewer observe did respondent consult pay slip Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 HH4 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Take average if varies Note only include hours on call if paid for them at 1 3 or more of normal hourly rate Hours Can t say 98 Continue if HH1 coded don t know Otherwise go to HH9 HH5 WHAT IS YOUR USUAL PAY BEFORE ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON AND INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Write in probe for best estimate to nearest Don t know 999998 Refused 999997 Continue if amount entered at HH5 Otherwise go to HH9 HH6 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH7 INTERVIEWER PROBE IS THAT EXACT OR AN ESTIMATE Interviewer observe did respondent consult pay slip Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 15 Scottish Household Survey Questionnaire April 2003 to December 2004 HH8 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Take average if varies Not
54. Lanarkshire 61 64 67 3 Orkney Islands 70 80 80 0 Perth and Kinross TO 68 67 1 Renfrewshire 64 65 71 6 Scottish Borders 68 71 78 7 Shetland Islands 70 78 80 2 South Ayrshire 67 68 71 3 South Lanarkshire 64 65 67 2 Stirling 68 71 TT 6 West Dumbartonshire 63 64 67 3 West Lothian 65 65 71 6 Total 66 67 69 2 The highest response rates were achieved in island and largely rural authorities with Orkney and Shetland both achieving response rates of 80 while Eilean Siar and Scottish Borders had rates of 79 and 78 respectively The lowest response rates were achieved in Glasgow City 60 the City of Edinburgh 63 and Aberdeen City 66 All but five local authorities had higher response rates in 2003 2004 than in 2001 2002 Achieved interviews compared with targets household interviews The number of interviews compared with the target and the corresponding response rates are the principal measures of survey performance although issues of data quality and bias also need to be considered The table below compares interview targets and achievement in each local authority Scottish Household Survey Fieldwork outcomes 2003 2004 Table 2 5 Household interview targets and numbers achieved in each local authority 2003 2004 of target Over under Target Achieved achieved achieved Aberdeen City 1 309 1 215 93 94 Aberdeenshire 1 217 1 233 101 16 Angus 612 628 103 16 Argyll and Bute 587 551 94 36 Clackmannanshire 588 579 98 9 Dumfries
55. MEMBERS OF Television 4 YOUR HOUSEHOLD A games console 5 Exclude cars that are normally kept or owned by Digital electronic personal organiser palm top computer 6 someone outside the household e g son or Combination of mobile phone electronic organiser 7 daughter living nearby include any company car Other 8 available for private use HC7C IS YOUR HOUSEHOLD ABLE TO ACCESS THE Yes 1 WORLD WIDE WEB THROUGH YOUR HOME No 2 2 TERNE T GONS EG HON Ask HD8 if coded yes 1 in HD7 If coded no 2 skip to Yes 1 HD20 Pos know iS HD8 IN TOTAL HOW MANY CARS ARE NORMALLY AVAILABLE FOR USE HC7D HERE IS A LIST OF THINGS THAT SOME PEOPLE HAVE TOLD US THAT THEY TAKE FOR Po RECYCLING OR IS COLLECTED FROM THEIR HOME WHICH OF THESE IF ANY HAS YOUR HOUSEHOLD RECYCLED FROM HOME IN THIS WAY IN THE LAST MONTH INTERVIEWER BY RECYCLE WE DO NOT MEAN RE USE Glass bottles 1 Plastic 2 Metal cans 3 Newspaper magazine paper cardboard 4 None of these 5 Scottish Household Survey Questionnaire April 2003 to December 2004 HD19N THINKING ABOUT YOUR CAR S HOW MUCH WAS SPENT ON FUEL IN TOTAL IN THE PAST MONTH INCLUDING ANY PAID FOR BY AN EMPLOYER Fuel for all cars in total if more than one in household Obtain estimate if exact amount not known HD19 ed Ask all HD20 HD20 DOES YOUR HOUSEHOLD HAVE ANY BICYCLES THAT CAN BE USED BY ADULTS Yes 1 No 2 HD21 ABOUT HOW LONG WOULD IT TAKE ME TO WALK FROM HERE T
56. MORTGAGE EXCLUDING ANY CONTENTS OR BUILDINGS INSURANCE OR MORTGAGE PROTECTION Code to the nearest Ask to estimate if unsure Record total for all mortgages loans p Don t know Refused If ENDOWMENT mortgage go to HK1 Ask HJ2 if HJ1B coded 2 or 3 HJ2 AT THE MOMENT HOW MUCH DOES YOUR HOUSEHOLD PAY EACH MONTH IN MORTGAGE PAYMENTS EXCLUDING ANY CONTENTS OR BUILDINGS INSURANCE OR MORTGAGE PROTECTION Code to the nearest Ask to estimate if unsure Record total for all mortgages loans p Don t know Refused HJ2N WHAT IS THE AMOUNT STILL OUTSTANDING ON YOUR MORTGAGE LOAN THAT IS HOW MUCH DO YOU STILL HAVE TO PAY OFF Continue if HB5 is coded 3 or 4 Otherwise go to HK1 HJ3 HOW MUCH IS THE TOTAL RENT FOR YOUR HOUSEHOLD S ACCOMMODATION THAT IS BEFORE ANY HOUSING BENEFIT IS DEDUCTED If crofter or two or more rents paid enter total rent payable If unsure code best estimate LO Don t know 1 Refused 2 Continue if amount entered at HJ3 Others go to HK1 HJ4 HOW LONG A PERIOD DOES THAT RENT COVER A day 1 A week 2 Fortnight 3 4 weeks 4 Month 5 Year 6 Other 7 HJ5 AND HOW MUCH DOES YOUR HOUSEHOLD ACTUALLY PAY FOR THIS ACCOMMODATION AFTER ANY HOUSING BENEFIT HAS BEEN DEDUCTED If no housing benefit received leave amount blank and code no housing benefit EM Don t know 1 Refused 2 No housing benefit 3 Full housing benefit 4 HJ6 HOW LONG A PERIOD DOES
57. Open University 5 School 6 Adult education or evening class 7 Help with reading writing or use of numbers 9 Other 8 Continue if respondent coded as using the internet at HC6 Others go to LICENCE RC4B PFD LIKE TO ASK YOU A FEW QUESTIONS ABOUT YOUR USE OF THE INTERNET WHEN DID YOU FIRST USE THE INTERNET In the past month 1 Over one month ago up to 6 months ago 2 Over 6 months ago up to a year ago 3 Over 1 year ago up to two years ago 4 Over two years ago 5 RC5 GENERALLY SPEAKING ABOUT HOW MANY HOURS A WEEK DO YOU SPEND USING THE INTERNET FOR YOUR OWN PERSONAL USE Up to one hour per week 1 Over 1 hour up to 5 hours 2 Over 5 hours up to 10 hours 3 Over 10 hours up to 20 hours 4 Over 20 hours 5 RC6 AND WHAT METHODS DO YOU USE TO ACCESS THE INTERNET THESE DAYS RC6A RC6H Personal computer 1 Laptop computer 2 WAP mobile phone 3 Television 4 A games console 5 Digital electronic personal organiser palm top 6 Combination of mobile phone electronic organiser 7 Other 8 RC7 WHICH OF THESE THINGS HAVE YOU EVER USED THE INTERNET FOR RC7A RC7Q Buying or ordering tickets and services 1 Finding information about goods and services 2 Finding information relating to education 3 General browsing or surfing 4 Grocery shopping 5 Looking for work 6 Non grocery shopping 7 On line learning 8 Paying rent 9 Personal banking financial investment activities
58. Original Random adult find wt February 1999 Economic activity Other rriginal Random adult j ind wt X February1999 c 2001 2002 Economic activity Likelihood of taking part in learning in next 12 months Original Random adult jind wt X January2001 O Extent to which respondent works at home Original Random adult ind wt X Januay2002 Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed Ispecon 1999 2000 Economicactivty Spouseeconomicstatus Derived Household la wt X February1999 O iran 1999 2000 Economicactivty j Involvedintraning Derived Random adult jind wt X February 1999 7 O Economic activity No of working adults Derived Household a wt FlFebrary1999 Ichildcr 1999 2000 Health caring and childcare Banded amount paid in childcare Derived Household la wt X February 1999 March 2003 ind wt February 1999 December2002 1 he2a 2003 2004 Health caring and childcare Count registered childminder Derived Household la wt X April 2003 he2b 2003 2004 Health
59. Original Random adult find wt February1999 O ib20 1999 2000 Neighbourhoods Nothing Original Random adult jJind wt Febrary1999 TC ib2p 1999 2000 Neighbourhoods Accessible or good location Original Random adult jJind wt February1999 CT O ib2g 2001 2002 Neighbourhoods Like house Original Random adult find wt January2001 New code from question RB2 Like area like living here Original Random adult ind wt January2001 New code from question RB2 _ Family friends here Original Random adult ind wt January2001 New code from question RB2 _ ibat 2001 2002 Neighbourhoods Near work Original Random adult jind wt January 2001 New code from question RB2 ib2u 2001 2002 Neighbourhoods Community spirit Original Random adult find wt January2001 New code from question RB2 ib2v 2001 2002 Neighbourhoods Always lived here beenherelongtime Original jRandomadult X jind wt X January20010 New code from question RB2__ ib2w 2001 2002 Neighbourhoods jNo litletraffic Original Random adult find wt January20010 New code from question RB2 ib2x 2001 2002 Neighbourhoods Safe slow traffic
60. RESPONDENT MAY USE BANK SHOP ETC NEAR WORK RATHER THAN HOME FOR CONVENIENCE RF13A RF13G Services Post office 1 Bank 2 Doctor s surgery 3 Grocery food shop 4 Chemist pharmacist 5 Hospital outpatients department 6 Public transport 7 Convenience Very convenient 1 Fairly convenient 2 Neither nor 3 Fairly inconvenient 4 Very inconvenient 5 No opinion 6 RG HEALTH AND DISABILITY RG5 COULD I JUST CHECK DO YOU HAVE ANY LONG STANDING ILLNESS HEALTH PROBLEM OR DISABILITY THAT LIMITS YOUR DAILY ACTIVITIES OR THE KIND OF WORK THAT YOU CAN DO BY DISABILITY AS OPPOSED TO ILL HEALTH MEAN A PHYSICAL OR MENTAL IMPAIRMENT WHICH HAS A SUBSTANTIAL AND LONG TERM ADVERSE EFFECT ON YOUR ABILITY TO CARRY OUT NORMAL DAY TO DAY ACTIVITIES Yes disability 1 Yes illness or health problem 2 Yes both disability and illness or health problem 3 No neither 4 Ask if Age gt 59 or RG5 not coded 4 RG6AN DO YOU HAVE A CONCESSIONARY TRAVEL PASS WHICH ALLOWS YOU TO TRAVEL FREE OF CHARGE ON OFF PEAK LOCAL BUS SERVICES Yes 1 No 2 Don t know 3 Ask those with illness or health problem RG5 not coded 4 if not skip to RG15 RG6 PLEASE LOOK AT THIS CARD AND TELL ME WHICH OF THESE ACTIVITIES IF ANY YOU WOULD NORMALLY FIND DIFFICULT TO MANAGE ON YOUR OWN RG6A RG6M Code all that apply Doing the housework 1 Climbing stairs 2 Dressing 3 Walking for at least 10 minutes 4 Washing
61. Recoding rd3 into rd3new Before we recode the rd3 variable we are going to find out what its current values are because values of 99999 and similar are often used for responses like refused or don t know and these might be included in your recode otherwise e Select Utilities Variables from the menu bar or click e Select the rd3 variable and scroll down through the list of values to see which values are in use see Figure 61 You will find there are 15 in total e Select Figure 61 rd3 variable information MS Variables Variable Information 3 00 Passenger carvan 400 Motorcycle moped 5 00 Bicycle 6 00 School bus TOD Works bus 6 00 Ordinary service bus 3 00 T asi minicab 10 00 Fail 11 00 Underground 12 00 Ferry 13 00 Aeroplane 14 00 Harse riding 15 00 Other Go Ta Paste Close Help Recoding the rd3 variable will allow us to group together various methods of travel We will have 3 values walking car driving or as a passenger or other method of transport to work e Select Transform Recode Into Different Variables from the menu bar e Click if necessary to clear existing variables e Select the rd3 variable and click gt e Enter the name rd3new for the output new variable e Enter the optional label How random adult usually travels to work for the output new variable e Click see Figure 62 Page 66 SHS Lite User Guide Version 1 0 Figure 62 Recoding
62. Registered childminder 1 B Nursery or playgroup 2 C Before school care 3 D After school care 4 E Holiday club care 5 F Friend 6 G Relative or partner 7 H Other arrangement e g non registered childminder babysitter au pair 8 None 9 Ask HE3 if any coded 6 Friend or 7 Relative or partner at HE2 HE3 DO YOU PAY ANY MONEY IN RETURN FOR THE CARE THAT YOUR FRIEND RELATIVE OR PARTNER OTHER ARRANGEMENT GIVES HE3 1 HE3 10 Yes do pay 1 No do not pay 2 Refused 3 Don t know 4 Ask HE4 if any children aged 3 or 4 years HE4 DO YOU USE THE FREE PART TIME NURSERY PLACES FOR 3 TO 4 YEAR OLDS HE4 1 HEA 10 Yes 1 No 2 Don t know 3 Questions HE5n and HE5an are asked about one of the children in the household selected at random by the CAPI script HE5N WOULD LIKE TO ASK YOU SOME QUESTIONS SPECIFICALLY ABOUT THE CHILDCARE THAT YOU USE FOR RANDOM CHILD WHICH OF THE FOLLOWING BEST DESCRIBES THE REASONS WHY YOU ARE USING THAT CHILDCARE FOR RANDOM CHILD A For my child s development and or education 1 B To enable me my partner to go to work 2 C To enable me my partner to work more hours 3 D To improve my my partner s choice of jobs 4 E To enable me my partner to earn more money 5 F To enable me my partner to study study more 6 G To give me my partner time to do other non work study things 7 H Other Please write in 8 10 Scottish H
63. Scottish Household Survey Questionnaire April 2003 to December 2004 August 2005 200 fScottish Household Survey Questionnaire 2005 2006 August 2005 200 Additional copies of these publications may be purchased from Scottish Executive Publication Sales Blackwell s Bookshop 53 South Bridge Edinburgh EH1 1YS Telephone 0131 622 8283 Fax 0131 622 8258 or 0131 557 81480 Cheques should be made payable to Blackwell s Bookshop Complaints and suggestions If you are not satisfied with our service please write to the Chief Statistician Mr Rob Wishart 4 Floor East Rear St Andrews House Edinburgh EH1 3DG Telephone 0131 244 0302 e mail rob wishart scotland gsi gov uk We also welcome any comments or suggestions that would help us to improve our standards of service ISSN 0950 2254 ISBN 0 7559 4736 3 Price 2 00 Crown Copyright Brief extracts from the Crown Copyright material in this publication may be reproduced provided the source is fully acknowledged ISBN 0 7559 4736 3 a amp E D qp ep ep Gau pue NYBEOHdESlrdIass e Pee ICaTIOF 7 A SCOTTISH e Steven Hope MORI Scotland Chris Martin TNS Social A SCOTTISH eXecurIVe NATIONAL STATISTICS PUBLICATION SCOTLanD s people FIELDWOrK OUTCOMES 2003 2004 SCOTTISH HOUSEHOLD SURVEY Crown copyright 2005 ISBN 0 559 4737 1 Scottish Executive
64. Split File button toolbar e Select the Compare groups option Page 36 SHS Lite User Guide Version 1 0 e Select a grouping variable and click gt see Figure 26 cio MN Figure 26 Split File dialog box lii Split File dq hihagebd t Analyze all cases do not create groups K 4 hihage Compare groups Compare groups option Paste b hihsex t Organize output by groups ae hih_stat Groups Based on Reset 2 2 M 2 iid andien Groupine variable 4b hihecon ping Cancel 4b agerband Help 4 randage gt randecon 4 randeth fe Sort the file by grouping variables 4 snaaebd 1 File is already sorted Current Statue Analysis by groups is off List of Grouping variables All further analyses carried out on the data will use the separate groups created Note by splitting the file as we have done above For example the results of frequencies and crosstabs will be grouped by the variables used to split the file To un split your file select Data Split File from the menu bar and click Analyse all cases do not create groups Note SHS Lite User Guide Version 1 0 Page 37 7 Working with Output Now that you have completed Chapter 6 you will be familiar with manipulating the data and you have in effect been creating output This chapter will show you how to manipulate the output and how to present it 7 1 The Viewer Window Results are displaye
65. THAT RENT COVER A day 1 A week 2 Fortnight 3 4 weeks 4 Month 5 Year 6 Other 7 Not Applicable 8 Ask HK1 if property owned or buying HB5 1 2 or 3 others skip to HK1A HK1 IS YOUR HOUSEHOLD CURRENTLY COVERED BY READ OUT Code all that apply Home contents insurance 1 House building insurance 2 No neither 3 Don t know 4 Ask HK1A if property rented HB5 4 HK1A IS YOUR HOUSEHOLD CURRENTLY COVERED BY HOME CONTENTS INSURANCE OR NOT Code all that apply Yes covered by home contents insurance 1 No not covered by home contents insurance 3 Don t know 4 HK1 and HK1A are combined in the data to make a single variable HK1 HK2 TAKING EVERYTHING TOGETHER WHICH OF THESE PHRASES ON THIS CARD BEST DESCRIBES HOW YOU AND YOUR HOUSEHOLD MANAGE FINANCIALLY THESE DAYS Manage very well 1 Manage quite well 2 Get by alright 3 Don t manage very well 4 Have some financial difficulties 5 Are in deep financial trouble 6 Refused 7 Don t know 8 Question HK2 only appeared from January to March 2003 22 Scottish Household Survey Questionnaire April 2003 to December 2004 Interviewer record whether permission for recontact is given by the householder Consent given 1 Consent refused 2 If random adult is a different resoondent THAT BRINGS US TO THE END OF THE INTERVIEW THANK YOU VERY MUCH FOR YOUR HELP PART TWO RANDOM ADULT INTRODUCTION If random adult is a d
66. THOSE 4 WEEKS Yes 1 No 2 If RH7 is 2 continue If RH7 is 1 go to RH13 RH7B WERE YOU WAITING TO TAKE UP A JOB THAT YOU HAD ALREADY OBTAINED Yes 1 No 2 If RH7B is coded 2 continue If RH7B is 1 go to RH19 20 RH8 EVEN THOUGH YOU WERE NOT LOOKING FOR WORK IN THE 4 WEEKS PRIOR TO LAST SUNDAY WOULD YOU LIKE TO HAVE A REGULAR PAID JOB AT THE MOMENT EITHER FULL TIME OR PART TIME Yes 1 No 2 RH9 IF A JOB OR A PLACE ON A GOVERNMENT TRAINING SCHEME HAD BEEN AVAILABLE IN THE WEEK PRIOR TO LAST SUNDAY WOULD YOU HAVE BEEN ABLE TO START WITHIN TWO WEEKS Yes 1 No 2 Ask RH10 to those unavailable coded no at RH9 Otherwise skip to RH12 RH10 WHY WOULD YOU NOT HAVE BEEN ABLE TO START IN THE NEXT TWO WEEKS ANY OTHER REASONS DO NOT PROMPT CODE ALL THAT APPLY RH10A RH10L Waiting for the results of an application for a job being assessed by a training agent 1 In full time education student 2 Looking after the family home 3 Temporarily sick or injured 4 Long term sick or disabled 5 No jobs available 6 Do not need employment 7 Not yet started looking for work 8 Hetired from paid work 9 Lack of available childcare 10 Cannot afford childcare 11 Other reason please specify 12 If retired coded 9 at RH10 ask RH11 Otherwise skip to RH12 RH11 HOW LONG IS IT SINCE YOU PERMANENTLY RETIRED FROM WORK Under a year 1 1 4 years 2 5 years or more 3 Don t know
67. The two part structure of the SHS interview requires the selection of a random adult within the household who completes the second half of the interview This represents a second opportunity for potential respondents to withdraw from the interview either because they refuse to take part or are unable unavailable or not contactable for interview There is inevitably a degree of attrition between the household and random adult sections of the interview and overall random adult interviews were achieved at 93 of households where a household interview was completed The participation rate varied from 86 in Aberdeen to 98 in East Renfrewshire and Shetland This means that while the household response rate was 69 the random adult response rate Scottish Household Survey Fieldwork outcomes 2003 2004 was 64 As with the household response rate this is higher than the rates of 62 in both the 1999 2000 and 2001 2002 sweeps Across local authorities there is some variation in the random adult response rate with random adult response rates of 56 in Aberdeen and Glasgow and 58 in Edinburgh This compares with rates of 77 in Eilean Siar and Orkney and 79 in Shetland Table 2 6 Random adult RA response rates 2003 2004 RA interviews as RA interviews as Household Random adult of valid of household Valid addresses interviews interviews addresses interviews Aberdeen City 1 871 1 215 1 050 56 86 Aberdeenshire 1 667 1 233 1 158 69 94 Angu
68. X April 2003 modedifh 2003 2004 Transprt jPublictransportservice withdrawn Origna Random adult jind wt X JApril2003 P modedifi 2003 2004 Transprt Changed working hours Original Random adult jind wt X April 2003 Imodediff 2003 20004 Transport Other Original Random adult jJind wt April 2003 modedik 2003 2000 Transport jCheapr Original Random adult find wt April 2003 modediff 2003 2004 Transprt Childcare caringresponsibiities Origna Random adult find wt X JApril2003 Imodedifm 2003 2004 Transport Convniene Original Random adult jind wt April 2003 modedifn 2003 2004 Transprt Healt fitness enoyment Orignad Random adult jind wt X April 2003 modedifo 2003 2004 Transprt Traffi congestion Original Random adult jind wt X April 2003 modeshft 2003 2004 Transprt jEaseofpossible modalshift Orignal Randomadut find wt X JApril2003 modeyr 2003 2004 Transprt jUsualtravelto work one year ago Orignad Randomadut X jind wt X April 2003 numcars 1999 2000 Transprt Number of cars household has access to Derived Household la wt X February1999 Inumveh 1999 2000 Transprt Number of motor vehicles househo
69. adult ind wt February1999 1999 2000 Health caring and childcare Adaptedtoilet seat Original Random adult ind wt X February1999 rg8g Hearing aid Original Random adult ind wt February 1999 1999 2000 Health caring and childcare Satisfaction with last visit to GP Family Doctor Random adult February 1999 December 2002 S 1 1 31 73 7 73 1317317317313 173 173 173 or 1 tS sos y ko ko ko kO ko ko Ko Ko Ko lo o Ko Ko Ko Ko fo Ko o ko o Ko fo Ko fo o ko ko Ko ko Ko Ko ko Co 00 00 00 00 CO COJ I O O O O O O O O O O HDI A As BR w Niele Piel m ye o0 o Jo Jo o 3l I e o o o o vo to oo uj amp m Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed ind wt rg8r ind wt February 1999 rg8s 1999 2000 Health caring and childcare No aids or adaptations Original Random adult ind wt February1999 rg8t 1999 2000 Health caring and childcare Shower walk in bath Original Random adult ind wt February1999 rg8u 1999 2000 Health caring and childcare Downsteirstollet Original Randomaduit ind wt X February1999 rg8v 1999 2000 Health caring and childcare Adapted chair stool Original Random adult ind wt February1999 rg8x 1999 2000 Health caring a
70. all the variables in the SHS Lite file It shows e which analysis set each variable has been assigned to e the name of each variable e a descriptive label for each variable e whether the variable is original if it refers directly to a question in the questionnaire or if it has been derived from other questions e who the variable relates to the household the random adult the random schoolchild e which weight to use when analysing that variable Analysis sets and weighting are discussed further in Chapter Four 2 2 3 Other SHS documents For further reference a number of additional documents have been included on the CD e The 1999 2000 and 2001 2002 SHS Annual Reports These provide analysis of the SHS results as well as background information and a glossary of terminology used in the survey e The 1999 2000 and 2001 2002 SHS Technical Reports These contain detailed methodological information on the SHS as well as information about response rates and comparisons of SHS data and other data sources Page 4 SHS Lite User Guide Version 1 0 2 3 Variable database This Microsoft Access database contains more detailed information on the variables It covers both the SHS Lite data file and the full survey data file This database allows users to search for keywords and displays a list of related variables 2 4 Limitations of the data There are a number of important issues that users should be aware of when usi
71. and Galloway 843 815 97 28 Dundee City 850 866 102 16 East Ayrshire 667 695 104 28 East Dunbartonshire 564 550 98 14 East Lothian 588 549 93 39 East Renfrewshire 543 564 104 21 Edinburgh City of 2 133 2 489 91 244 Eilean Siar 566 549 97 17 Falkirk 793 824 104 31 Fife 1 971 2 083 106 112 Glasgow City 3 662 3 241 89 421 Highland 1 199 1 167 97 32 Inverclyde 539 546 101 T Midlothian 576 561 97 15 Moray 600 613 102 13 North Ayrshire 796 152 94 44 North Lanarkshire 1 728 1 757 102 29 Orkney Islands 596 665 112 69 Perth and Kinross 767 674 88 93 Renfrewshire 1 014 994 98 20 Scottish Borders 605 663 110 58 Shetland Islands 602 653 108 51 South Ayrshire 624 624 100 0 South Lanarkshire 1 630 1 565 96 65 Stirling 578 612 106 34 West Dunbartonshire 520 509 98 11 West Lothian 866 875 101 9 Total 31 333 30 661 98 672 The highest levels of under achievement were in Glasgow City and the City of Edinburgh Scotland s largest cities and this has been a consistent feature of the SHS since it started reflecting the concentrations of household and neighbourhood characteristics that make refusal and non response more likely Taken together these authorities account for 56 of the total shortfall i e the sum of all the authorities where the interviews achieved is short of target The highest percentage shortfalls were in Perth and Kinross 88 of target achieved and Glasgow 89 achieved Achieved interviews the random adult
72. benefits and other sources employment and self employment HI Financial Services Savings and Housing Costs eeeeeeeeeee Lesser eene enne 21 Bank building society and credit union accounts savings Fld MOMG age and FEM te CC 22 Mortgage rent payments before and after benefits insurance how household is managing financially RANDOM ADULT HA ACCOMIMOC ALON P a A A A denen tenses A dene 23 Time at address buying former rented property experience of homelessness RB Neighbourhoods and Community Safety ccccccceeeeeceeeeeeeeeeeneeeeeeaneeeeeeaneeeeeaseseeeaseeseneseeseeeseeseennnees 25 Rating of neighbourhood likes and dislikes about neighbourhood neighbourhood problems frequency of using buses and trains safety from crime when travelling by bus and train in the evening and walking alone after dark social contact neighbour disputes fear of crime experience of physical assault RC Educalion and Tralning iieri iode xo cu ae va ee e ne iei Ha oxi cou o aua coss ue cus aeaaaee vation aeaa aeaaaee eE 26 Educational qualifications participation in training and education use of the internet type of internet connection RD Travel and Transport e MM 27 Driving licences flexible working travel to work education reasons for using car and not using public transport miles driven in a year expenditure on public transport use and views of bu
73. both incorporate LA WT Note For more information on weighting see the SHS Technical Report on the CD Weighting Data e Select Data Weight Cases from the menu bar or click on the toolbar e Click the Weight cases by option e Select the frequency variable and click gt Cic MN Figure 15 Weight cases showing LA_WT as the Frequency Variable E Weight Cases i uniqid f Do not weight cases Ds rand ak db ind wi f weight cases by Paste kid ok Frequency Variable Ecer d kid wt Ld P la t m Dda ance 4 dateint MI Curent Status Do not weight cases Help Frequency variables Weight cases by option The Status bar at the bottom of the screen indicates that a weight has been applied Note SP55 Processor is ready Weight On Once you apply a weight variable it remains in effect until you select another Note weight variable or turn off weighting If you save a weighted data file weighting information is saved with the data file You can turn off weighting at any time even after the file has been saved in weighted form SHS Lite User Guide Version 1 0 Page 21 5 Confidence Intervals and Statistical Significance 5 1 The Representativeness of the Scottish Household Survey Although the SHS sample is chosen at random the people who take part in the survey will not necessarily be a representative cross section of the population Like all sample surveys the results of the SHS are estimates of the corres
74. close to that used as the basis for the survey sampling There is of course some deviation from the assumptions reflecting sampling variability in both the base data used for sampling and the sampled addresses and the passage of time since 2000 In spite of the deviation from assumptions using different deadwood assumptions in individual local authorities rather than previous practice of a uniform 10 in all areas improves the structure of the sample and should contribute to meeting fieldwork targets Where the experience differs from the assumptions this is likely to reflect a combination of factors such as e housing regeneration and redevelopment which leads to demolition and vacant properties increasing deadwood and properties being brought back into use lowering deadwood Scottish Household Survey Fieldwork outcomes 2003 2004 e expansion of holiday properties and second homes which are ineligible for inclusion in the survey raising deadwood Fieldwork performance The profile of the sample selected and the level of deadwood are primarily qualities of the sampling frame and the assumptions used to sample Inaccuracy and bias in these can have a knock on effect on fieldwork performance The other elements of fieldwork performance reflect survey administration procedures and interviewer performance the availability of members of the public to be interviewed the ability of members of the public to participate in the inter
75. columns flip the table adjust the order of data in a table and modify the table in many other ways For example you can change a short wide table into a long thin one by transposing rows and columns Changing the layout of the table does not affect the results Instead it s a way to display your information in a more intuitive manner 7 2 1 Activate the Pivot Table e Double click the table in the contents pane see Figure 28 Note An activated table displays a hatched border around it Note To deactivate the table click outside of the table Figure 28 Activated table i Section 7 Working with Output spo SPSS Viewer File Edit view Insert Pivot Format Analyze Graphs Utilities Window Help How random adult usually travels to work education Banded age of random adult Crosstabulation Handed age of randam adult Total How random adult usually travels to workeducation Walking Driver carvan Passenger carvan Motorcycle moped Bicycle School bus Works bus Ordinary service bus Taxi minicab Rail Underground Ferry Aeroplane Other SP55 Processor is ready Hatched border around table 4 4 291 63 1 11 2 12 Tx tr c c cC oc A A A A A o4 tcn Hi 2729 W 582 pt SHS Lite User Guide Version 1 0 Page 41 7 2 2 Using Pivoting Trays Pivoting Trays provide a way to move data between columns rows and layers If the pivot trays window see Figure 30 is n
76. data e Select Data Weight Cases from the menu bar or click on the toolbar to display the Weight Cases dialog box as shown in Figure 35 e Select the Weight cases by option Figure 35 Weight cases by option selected E Weight Cases Weight cases by option t Do not weight cases db rand ak Weight cases by n Frequency Variable kid ok gt H Cancel Dk db d ind wt selected urrent Status Do nat weight cases Help Reset If the dialog box displays variable labels instead of variable names you can Note change this by following the steps in Section 4 3 on page 14 e Select the ind_wt variable and click gt to weight the cases as shown in Figure 36 Figure 36 Weighting cases by the ind_wt variable E Weight Cases t Do not weight cases f Weight cases by Frequency Variable L ijemm Current Status Do nat weight cases SHS Lite User Guide Version 1 0 Page 47 The data will now be weighted by the ind wt variable and you can now see the weight indicator on the status bar at the foot of the screen as shown in Figure 37 Figure 37 Status Bar showing weight indicator SPSS Processor is ready weight rn 8 2 Example 2 Frequency This example creates a single frequency table e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Frequencies from the menu bar or click the Dialog Recall button if you have previo
77. for each member of the household HA6 IS NAME MALE OR FEMALE 5 6 7 9 10 11 12 13 14 15 16 17 HAG6 1 HAG6 10 Male Female Ask HA7 for each member of the household 1 2 HA7 AND WHICH OF THE ITEMS ON THIS CARD WOULD YOU SAY BEST DESCRIBES NAME S CURRENT SITUATION Self employed Employed full time Employed part time Looking after the home or family Permanently retired from work Unemployed and seeking work At school In further higher education Government work or training scheme Permanently sick or disabled Unable to work due to short term illness or injury Pre school not yet at school Other HA7_1 HA7_10 1 2 3 4 5 6 7 8 9 10 11 12 13 Ask HA8 only for household members aged 16 years or older coded at question HA5 HA8 WHICH OF THE PHRASES ON THIS CARD BEST DESCRIBES PERSON S MARITAL STATUS HA8_1 HA8_10 Married Cohabiting living together Single never been married Widowed Divorced Separated Ask HA9 for all household members 1 2 3 4 5 6 Scottish Household Survey Questionnaire April 2003 to December 2004 HA9 HOW WOULD YOU DESCRIBE YOUR THEIR HA11 DOES NAME NORMALLY LIVE AT THIS CULTURAL OR ETHNIC BACKGROUND HOUSE FLAT DURING THE WEEK IN HA9 1 HAO9 10 UNIVERSITY COLLEGE TERM TIME HA11 1 HA11 10 WHITE A Scottish 1 Yes 1 B Other British 2 No 2 C Irish
78. individual information previously unavailable in Scotland particularly to support the work of the Scottish Executive s transport housing and social justice policy areas and the work of the Scottish Parliament e to permit disaggregation of such information both geographically and in terms of population sub groups such as families with children or the elderly e to allow the relationships between social variables within households to be examined This will support cross departmental and inter departmental policies such as those on social justice e to allow early detection of national trends e to allow detailed follow up surveys of sub samples from the main survey sample if required Since 1999 the SHS has been carried out by a team from MORI and TNS Social formerly NFO Social Research The same team was reappointed when the survey was subject to tender in 2002 Detailed Technical Reports have been published annually covering the survey methodology fieldwork outcomes and the questionnaire used To provide users with the information they require and to limit unnecessary duplication these three aspects of the survey have been split into three separate documents Scottish Household Survey Methodology 2003 2004 includes information about the sample size and design e g stratification and clustering within local authorities data collection methods and instruments the limitations of the data and the Scottish MOSAIC classificat
79. modeca 2003 2004 Transprt Easeofnocarfor smallshoppng Origna Randomadut find wt X JApril2003 Ease of no car for supermarket shopping Original Random adult ind wt Aprl2003 modecc 2003 2004 Transprt j Easeofnocarfor townshoppng Origna Random adult jind wt X JApril2003 pO modece 2003 2004 _____ Transport Easeofnocarfor visit friends relatives Origna Random adult find wt X JApril2003 modecf 2003 2004 Transprt jEaseofnocarfon GP Original Random adult jind wt X April 2003 P Imodecg 2003 2004 Transprt Easeofnocarfor libary Origmad Random adult jind wt X April 2003 modedifa 2003 2004 Transport jChangePdjob Original Random adult jind wt April 2003 Moved home Original Randomadult ind wt X Aprl2003 modedifc 2003 2004 Transprt jEmployerrelocated Original Random adult jind wt X April 2003 modedifd 2003 2004 Transport jBoughtacar Original Random adult jind wt April 2003 modedife 2003 2004 Transport Sd cr Orignal Random adult jind wt X April 2003 modediff 2003 2004 Transport jLostlieene Original Random adult jind wt April 2003 modedifg 2003 2004 Transprt jPublictransportservice added TT Origna Random adult jind wt
80. on days of the week on which fewer than one seventh of all interviews have taken place and down weights those carried out on days on which more than one seventh of all interviews have been completed It is also apparent that the distribution of interviews by the day of the week differs for certain sub sections of the adult population For example disproportionately more adults in full time employment are interviewed at the weekend due to their greater availability then thus yielding an inaccurate picture of the travel patterns of those in full time employment The Travel Diary weighting factor is therefore refined to compensate for this The weight created for any analysis of the Travel Diary combines the above weighting factors and the existing random adult weights Further information about the Travel Diary including a comparison to the National Travel Survey is available in the Travel Diary User Guide No additional corrective weighting The weighting scheme for the SHS is intentionally simple This reflects in part a desire to keep the processes of the survey straightforward so that the data can be made available for analysis as quickly as possible It also reflects the limited extent to which the SHS data differs substantially from comparator data as shown below Thus no additional corrective weighting has ever been applied to the data beyond that required to account for sample design and differential response rates betwe
81. particular being difficult to contact or refusing to take part in the survey The SHS is also limited in the amount of detail it can collect about some topics For example it was not designed to provide reliable economic statistics e g unemployment rates and average earnings The SHS s information about the economic status of members of the household reflects the view of the respondent to the household part of the interview and so may not conform to official definitions of employment and unemployment for example As a result the SHS cannot provide estimates of unemployment that are comparable to official statistics of unemployment There are several reasons why the SHS data on income may not be reliable e he SHS only collects information from or about the Highest Income Householder and if there is one their spouse or partner e Information is provided off the top of the head as part of an interview on many other topics There is no requirement to refer to pay slips or bank statements to check the figures i See for example the comparison of economic activity estimates from the SHS and the Annual Scottish Labour Force Survey in Fieldwork outcomes section 4 Data quality 17 Scottish Household Survey Methodology 2003 2004 e Some people may not know the correct figure particularly in the case of the income of a spouse partner and may just provide a guess perhaps based on a level that they remember f
82. provide household and individual information previously unavailable in Scotland particularly to support the work of the Scottish Executive s transport housing and social justice policy areas and the work of the Scottish Parliament e to permit disaggregation of such information both geographically and in terms of population sub groups such as families with children or the elderly e to allow the relationships between social variables within households to be examined This will support cross departmental and inter departmental policies such as those on social justice e to allow early detection of national trends e to allow detailed follow up surveys of sub samples from the main survey sample if required Since 1999 the SHS has been carried out by a team from MORI and TNS Social formerly NFO Social Research The same team was reappointed when the survey was subject to tender in 2002 Detailed Technical Reports have been published annually covering the survey methodology fieldwork outcomes and the questionnaire used To provide users with the information they require and to limit unnecessary duplication these three aspects of the survey have been split into three separate documents Scottish Household Survey Methodology 2003 2004 includes information about the sample size and design e g stratification and clustering within local authorities data collection methods and instruments the limitations of the data and the Scotti
83. rd3 into new variable rd3new MS Recode into Different Variables b rb4d M ic Variable gt Output Variable umeric Variable uput Y anable Output variable d tbde Name 4b rb2p rd3new Change dq rb4e2 Label a hda How random adult usually tr Old and New Values Reset Cancel Help f Old and New Values e Click to recode the values e Select the Old Value option and enter see Figure 63 e For the New Value enter see Figure 63 ciol 4 Figure 63 Old Value of 1 and New Value of 1 jeu Old Value of 1 BiU Henr New Value of 1 Ed Old Value Hew Value f Walue System missing Sustem missing f Copy old value s System or user missing Old gt Mew t Range Add mnm t Range Hu ere Range Output variables are strings emn E t All other values Continue Cancel Helo e Select the first Old Value Range option and specify the values 2 through 3 see Figure 64 e For the New Value enter 2 see Figure 64 click LA SHS Lite User Guide Version 1 0 Page 67 Figure 64 Using the Range through option elm CMe PIRE ESI New Value of 2 Old Value Mew Value C Value fe Value 2 System missing Sustem missing t Copy old value s System ar user missinig Old New t Range Add 1 1 2 through 3 E Remove First Old Value Range option Output variables are strings e showing 2 through 3 E All other va
84. sample or sub sample The sampling error can be expressed as a confidence interval which can be added to and subtracted from the survey estimate to give a range within which it is fairly certain that the true value lies Since the SHS is not a simple random sample SRS design the confidence intervals need to take account of the impact of clustering and stratification The SHS therefore has what is known as a complex standard error While for some variables the design of the sample improves the precision of the survey estimates compared with a simple random sample the overall effect of the survey design is to reduce the precision of the estimates The relationship between the complex standard error and the theoretical simple random sample standard error for a sample of the same size is summarised in the design factor The Taylor Expansion Method was used to calculate the complex standard errors for a series of results in the study This is a well established technique for working through the effects of stratification and clustering As can be seen from Table 5 1 these ranged from 1 06 to 1 79 The overall average is 1 17 but that should not be taken as a typical value given the distribution of values across different variables However it suggests that the original assumption of a design effect of 1 1 1 2 was reasonable and using a value of 1 2 as a rule of thumb for adjusting the standard errors of the survey
85. sed E 4 Person 8 8 HA9C WHAT RELIGION RELIGIOUS DENOMIATION OR Person 9 9 BODY WERE YOU THEY T UP D Person 10 10 9C 1 9C 10 AM 7 Ask HC8cn if any coded at HC8bn None B Church or Scotland 2 HC8CN WHICH LANGUAGES DO THEY REQUIRE C Roman Catholic 3 HC8A HC8J D Other Christian 4 2 E Buddhist e dedi Sign Language i F Hindu 6 ena 3 d 7 Braille 4 A AE i 8 Punjabi 5 Anona religion Ao Gujurati 6 Hindi 7 Chinese 8 Ask HA10 for each person in full time education school Arabic 9 coded 7 at HA7 Other 10 HA10 DOES NAME NORMALLY LIVE HERE DURING THE WEEK IN SCHOOL TERM TIME HA10_1 HA10_10 Yes 1 No 2 Ask HA11 for each person in full time education university further higher education coded 8 at HA7 Scottish Household Survey Questionnaire April 2003 to December 2004 HB ACCOMMODATION HB1 IS THE HOUSEHOLD S ACCOMMODATION HEAD OUT OR CODE IF OBVIOUS A house or bungalow 1 A flat maisonette including four in a block 2 Other 3 If HB1 is coded 1 go to HB2 If HB1 is coded 2 go to HB3 If HB1 is coded 3 go to HB4 Only ask HB2 if property is house or bungalow coded 1 in HB1 HB2 IS IT READ OUT OR CODE IF OBVIOUS Detached 1 Semi detached 2 or terraced end of terrace 3 Only ask HB3 if flat maisonette coded 2 at HB1 HB3 RECORD LOWEST FLOOR OF DWELLING OR FOUR IN A BLOCK Basement semi basement 1 Ground floor street 2 1st floor 3
86. shows the expected distribution of sample by local authority at the end of each two year sampling period The underlying principle here is that the allocation of interviews by local authority area should be broadly proportionate to the number of households except where the resulting sub sample in any particular area would fall below a pre determined accuracy threshold The allocation was carried out in the following way 1 A minimum accuracy threshold of 4 4 at the 95 confidence limit was set This is the accuracy associated with an estimate of 5096 from a simple random sample of 500 from an infinite population 2 Taking account of the Finite Population Correction Factor and assuming a design factor of 1 1 in those areas with a clustered design the minimum number of interviews required to meet the above benchmark is established for each local authority area This gives a figure of around 490 for the high population density areas and 560 590 for the areas with a clustered design 3 For each area this figure is compared with the number of interviews associated with a strictly proportionate allocation of 31 000 interviews across local authorities Where the proportionate allocation of 31 000 interviews would result in a local authority having ess than the minimum identified at paragraph 2 the number of interviews is set to that minimum or equal to 550 if the minimum is less than 550 4 The remaining interviews i e those left after th
87. standardized Column Percentages option Figure 79 How random adult usually travels to work education by Banded age of random adult i Output SPSS Viewer TB File Edit wiew Insert Format Analyze Graphs Utilities Window Help lalak w Elle a l How random adult usually travels to work Banded age of random adult Crosstabulation Banded age of random adult eee 181024 25t034 351044 45to59 amp tn74 7S plus How random adult Walking Count 613 451 512 593 81 5 27h55 usually travels to 96 within Banded work age of random adult 24 6 13 496 13 0 13 6 15 6 35 7 15 4 Count 862 2226 2743 3006 354 8 9199 26 within Banded exer al 34 596 66 0 50 796 58 896 60 8 57 196 62 3 Count 1013 TE B8 755 137 1 3281 96 within Banded E 40 7 20 596 17 3 17 5 23 596 71 22 396 Count 2488 3372 3935 4364 582 14 14755 pee 100 05 10009 10009 10009 100 09 100 09 100 0 age af random adult i gt Double click to edit Lag 7 SP55 Processor is ready H 72 W 460 pt Page 6 SHS Lite User Guide Version 1 0 8 9 Example 9 rd3new by agerbnd2 Crosstab This example shows how the random adult usually travels to work education by banded age of random adult We are using the new variables rd3new and agerbnd2 We created these variables by recoding rd3 and randage see Sections 8 7 1 and 8 7 2 on pages 62 and 66 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the
88. take are given below e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recall button if you have previously used Crosstabs Select the variable to display as the row headings and click gt see e Figure 23 e Select the variable to display as the column headings and click gt e Select the variable to display as the layer headings and click gt Cells Select to display the Cells dialog box see e Figure 24 e Select the column percentages option e Select to return to the Crosstabs dialog box e Click see Figure 25 Page 34 SHS Lite User Guide Version 1 0 Figure 23 Crosstabs dialog box showing layer variable lil Crosstabs x aA 3 Haw s UK dq ah gt qi Fi ar x lt 4 rab Reset sb rbi Lalumn s ab ibl2 Cancel d he qi tenure E E Em gt Help bedstand ae of 1 4 fires Next E lattype d insure 4D reres a 4 hed v Display clustered bar charts Statistics Cells Format List of Variables Figure 24 Cell Display dialog box Suppress tables Crosstabs Cell Display Counts Continue W Observed Expected Cancel Help Percentages Residuals Unstandardized Standardized E Total Adj standardized Column Percentages option SHS Lite User Guide Version 1 0 Selected row variable Selected column variable Selected layer variable Page 35 Figure 25 Number of C
89. take part differ markedly from those of the people who were interviewed there might be bias in the estimates If that is the case the SHS s results will not be representative of the whole population Without knowing the true values for the population as a whole of some quantities we cannot be sure about the extent of any such biases in the SHS However comparison of SHS results with information from other sources such as the 2001 Census and other government surveys suggests that they are broadly representative of the overall Scottish population and therefore that any non contact or non response biases are not large overall However such biases could of course be more significant for some sub groups of the population or in certain Council areas particularly those that have the highest non response rates As stated in Section 5 1 because it is a survey of private households the SHS does not cover some sections of the population for example it does not collect information about many students in halls of residence see the SHS Technical Reports for further information Page 26 SHS Lite User Guide Version 1 0 5 5 Estimated Sampling Error Table Estimated sampling error associated with different proportions for different sample sizes DV O 90 L 0 8 0 8 0 60 60 60 0 T 0 T 0 T 60 60 60 8 0 8 0 L 0 90 DV 0 000 ST bY O 9 0 L 0 8 0 60 60 60 0 T 0 T 0 T 0 T 0 T 60 60 6
90. the age and sex of the population household size and type and the martial status of household members Chapter 4 Where we live looks at the housing circumstances of the population It covers housing tenure tenure change moving home and the types of properties in which people live Chapter 5 What we do examines the economic circumstances of households and adults It looks at whether people work the types of work they do and the number of hours they work It also looks at the circumstances of non working adults and the situation of women of working age Chapter 6 How we live presents analysis of household resources including both material and financial resources It examines ill health and disability and the provision and receipt of care Chapter 7 Our communities analyses adults involvement in their communities including voluntary activities and their participation in recycling The report also contains a glossary with detailed definitions of some of the terms used in the survey This sets out what is meant by terms such as highest income householder and what is included and excluded from for example household income 11 1 2 Scottish Household Survey Methodology 2003 2004 Published August 2004 This is the first of three short Technical reports that details the technical issues involved with the SHS It includes information about the sample size and design e g stratification and clustering within local authoritie
91. the random schoolchild agerband Banded age of random adult couple Whether married or cohabiting couple epkid Number of dependent children in household econact Random adult economic activity compatible with Census ethnichh Wholly white minority ethnic or mixed households amily Children in different family types ae fs fe Pe es pO Derived Random child April 2003 po Original Household February 1999 Original Household February 1999 Derived ebruary1999 Derived ebruary1999 Derived ebruary 1999 Derived ebruary1999 Derived ebruary1999 Derived ebruary1999 Derived ebruary1999 Pu GENERE ee et amtype Family type Derived la_wt ebruary 1999 enerate Generations in household as related to HIH Derived ebruary 1999 htype Household type Derived ebruary 1999 hwork Household working status Derived la wt ebruary 1999 ih ethl Ethnic group of HIH Original anuary 2001 December 2002 ih stat Marital status of the HIH Derived ebruary 1999 ihage Age of highest income householder Derived ebruary 1999 ihagebd Banded age of HI H Derived ebruary 1999 ihecon IH economic status Derived la_wt ebruary 1999 ihsex ex of HIH Derived ebruary 1999 idage anded age of random schoolchild Derived Random schoolchildkid wt February1999 idsex ex of the random schoolchild Derived kid_wt ebruary 1999 ocal authority identifier riginal ebruary 1999
92. the shops 25 Escort for personal business 26 Any other escort 27 Ask RE38AN if RE38 coded 4 shopping RE38AN CAN YOU TELL ME WAS THAT A TRIP FOR THE MAIN HOUSEHOLD FOOD SHOPPING FOR SMALLER SCALE FOOD SHOPPING OR FOR NON FOOD SHOPPING Main food shopping 1 Other food shopping 2 Non food shopping 3 RE39 HOW DID YOU TRAVEL GET THERE MODE Walking 1 Driver car van 2 Passenger car van 3 Motorcycle moped 4 Bicycle 5 School bus 6 Works bus 7 Ordinary service bus 8 Taxi minicab 9 Rail 10 Underground 11 Ferry 12 Aeroplane 13 Horse riding 14 Other 15 If RE39 2 or 3 ask RE4O others go to RE41 RE40 NUMBER OF OCCUPANTS IN CAR FOR THIS JOURNEY INCLUDING DRIVER PEOPLE l RE41 WHERE DID YOU START FROM Home Home postcode automatically inserted Work Work postcode automatically inserted Other Enter details Interviewer enter details if not home or work open text Postcode Organisation Shop Number Street Road etc District Area RE42 AND WHERE DID YOU GO TO Home Home postcode automatically inserted Work Work postcode automatically inserted Other Enter details Interviewer enter details if not home or work open text Postcode Organisation Shop Number Street Road etc District Area RE43 ROUGHLY WHAT TIME DID YOU LEAVE START RE43H RE43M MINUTES RE44 AND ROUGHLY WHAT TIME DID YOU ARRIVE AT END RE44H RE44M MINUTES Ask CO
93. the survey about 6 of the respondents and because the question only applies to people in work or in education For these people 56 of the full sample the variable has no data the System Missing value If you refer to the Estimated Sampling Error table on page 27 it is possible to estimate confidence intervals for these percentages by using the closest values for the valid percentage and the frequency For example the survey shows that 16 of adults in work or education walk to work see Figure 18 on page 30 This allows us to estimate that among the population as a whole the true percentage of adults walking to work education would lie within a range of 1 9 of the value in the survey 1 e between 14 and 17 8 6 2 2 Creating a Frequency Chart You can graphically display the information in a frequency table with a bar or pie chart Creating a Chart e Select Analyze Descriptive Statistics Frequencies from the menu bar or click the Dialog Recall button to reopen the Frequencies dialog box e Select the Chart type and click Click Figure 19 Charts dialog box Frequencies Charts Chart Type Continue f Mane Bar charts f Pie charts f Histograma Cancel Help Chart Values Frequencies Percentages SHS Lite User Guide Version 1 0 Page 31 Figure 20 How the random adult usually travels to work education Bar Chart i Output SPSS Viewer File Edit View Insert Format Analyze G
94. this does not affect its use for sampling it has made MOSAIC less appropriate for analysis of the survey and makes the classification used since 2001 incompatible with previous data 23 Scottish Household Survey Methodology 2003 2004 Table A Descriptors of MOSAIC Areas and comparison with 2003 2004 SHS A Urban Establishment Percentage of all households 12 8 Percentage of SHS households 13 8 B Burdened Borrowers Percentage of all households 10 1 Percentage of SHS households 10 7 C Better Off Tenants Percentage of all households 14 896 Percentage of SHS households 16 096 D Industrial Success Percentage of all households 7 196 Percentage of SHS households 6 9 E Low Rise Council Percentage of all households 9 396 Percentage of SHS households 8 996 F Council Flats Percentage of all households 6 396 Percentage of SHS households 5 296 G Low Spending Elders Percentage of all households 7 7 Percentage of SHS households 7 2 H Hi Rise amp Tenements Percentage of all households 5 696 Percentage of SHS households 4 7 Metro Lifestyles Percentage of all households 8 896 Percentage of SHS households 7 6 J White Collar Owners Percentage of all households 12 5 Percentage of SHS households 11 996 K Open Countryside Percentage of all households 5 196 Percentage of SHS households 5 296 L Institutional Areas Percentage of all
95. to the Computer Aided Personal Interviewing CAPI script used to collect the data The questionnaire will remain an important reference source for identifying and understanding the variables in the data If you have opened the SHS dataset file from the CD you will not be able to save any changes you have made back to the CD You can however save a copy Note of this file to a suitable location on your own computer This means you can save your own changes but should you make a mistake the original file can be copied again from the CD SHS Lite User Guide Version 1 0 Page 3 2 2 Documents Alongside the SHS Lite data file are a number of documents that provide important information about the survey how the data are collected and what individual variables represent These are provided on the CD The main documents are 2 2 1 Short SHS Questionnaire pdf This version of the questionnaire contains all the questions asked in the survey except for the travel diary sections that are not included in the SHS Lite datasets This allows the simplified data file to be seen in the context of the full survey and indicates where questions are asked of a subset of the sample Abbreviated questionnaires are included for 1999 2000 and 2001 2002 To assist useability the routing in the questionnaire has been somewhat simplified from the CAPI programme used to conduct the survey 2 2 2 SHS Lite Variable Listing pdf This file contains a list of
96. to use the Paste button located on most dialog boxes The following example looks at creating a frequency table e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Frequencies from the menu bar or click the Dialog Recall button if you have previously used Frequencies e Click if necessary to clear existing variables e Select the rd3 variable and click gt You can select a variable by typing the start of its name instead of scrolling through the list of variables For example type rd to select the rd3 variable Note Figure 125 The Frequencies dialog box El Frequencies E hd Variables 4b hd2 e db hd The paste button 4 hdd Reset 4 hell lt hell Cancel 4 he15 Help d d he iw Display frequency tables Statistics Charts Format e Click to copy the syntax created as a result of the dialog box selections to the Syntax Editor see Figure 126 SHS Lite User Guide Version 1 0 Page 107 Figure 126 Syntax editor Ey Syntax1 SPSS Syntax Editor File Edit View Analyze Graphs Utilities Run window Help 3 Be PI a Fl FREQUENCIES VARIABLE S rda fORDER ANALYSIS 7 SP55 Processor is ready Note You can use this syntax alone or add it to a larger syntax file 9 2 Saving a Syntax File To save a syntax file e Choose File Save As from the menu bar or click on the toolbar e Type a nam
97. train plane tickets 7 Means of estimating cost of car journey 8 Services which go directly to other countries e g plane or ferry to Continent 9 Through services without any need to change trains 10 Other 11 Don t know 12 Ask TDSRCE if TDAWARE 1 and date of interview after May 2004 TDSRCE WHERE DID YOU HEAR ABOUT TRANSPORT DIRECT Newspaper report or advert 1 Television report or advert 2 Radio report or advert 3 Advert on a bus or train 4 Advert at a station bus stop airport etc 5 Other advert 6 Word of mouth 7 Other 8 Questions between TDACC and TDBAD 2 were only asked from May 2004 TDACC THE GOVERNMENT HAS DEVELOPED A SINGLE TRAVEL ENQUIRY SERVICE GIVING INFORMATION ABOUT ALL THE WAYS OF MAKING A JOURNEY IN THE UK THIS CARD TELLS YOU A LITTLE ABOUT IT WHICH OF THESE WOULD BE THE BEST WAYS FOR YOU TO ACCESS THE SERVICE IF YOU WERE TO USE IT Internet using a PC or laptop 1 Internet using a mobile phone e g WAP phone 2 Electronic kiosks terminals at bus train stations 3 Electronic kiosks terminals in libraries shopping centres 4 Digital TV 5 Electronic kiosks terminals at your place of work 6 Telephone 7 Other 8 Can foresee no circumstance when would want to use it 9 32 Scottish Household Survey Questionnaire April 2003 to December 2004 TDUSE HAVE YOU USED TRANSPORT DIRECT Yes 1 No 2 Don t know 3 Refused 4 Ask if TDUSE 1 otherwis
98. were under sampled and weight down those which were over sampled this is a weight of the first type mentioned above which adjusts for unequal probabilities of selection Secondly the weight addresses any disproportionality introduced by differential response rates between local authorities The combination of these two elements is shown in Table 3 1 The weights for some local authorities vary between one quarter and the next because the number of achieved interviews fluctuates between quarters The final sample profile across the two years should therefore correctly reflect the distribution of households across Scotland s local authorities Weights are calculated for each local authority each quarter and based on the quarter in which the interviews were undertaken regardless of when the address was sampled This reflects the need for the data to be nationally representative in each quarter and should allow any published findings to be 11 Scottish Household Survey Fieldwork outcomes 2003 2004 reproduced by selecting the relevant quarter s data In practice however it may not be possible to reproduce exactly some of the results from earlier publications if the data for that quarter were subsequently changed e g to correct errors that were identified later Table 3 1 Weights to account for disproportionate sampling and differences in household response rates by local authority and quarter 2003 2004 2003 2004 Q1 Q2
99. yourself 5 Standing for at least 10 minutes 6 Using a bus 7 Using a taxi 8 Using a train 9 Using a car 10 Preparing main meals 11 Using a telephone 12 None of these 13 RG7 DO YOU CURRENTLY HAVE ANY SPECIAL EQUIPMENT OR ADAPTATIONS TO YOUR HOME TO HELP YOU MANAGE INDEPENDENTLY Yes 1 No 2 Ask those with equipment or adaptations yes at RG7 otherwise skip to RG9 RG8 WHAT SORT OF EQUIPMENT IS THAT RG8A RG8U CODE ALL THAT APPLY Wheelchair 1 Walking sticks crutches 2 Walking frame tripod or Zimmer 3 Trolley 4 Bed poles or ladders 5 Hamps 6 Artificial limbs 7 Handrail 8 Stairlift 9 Hoists 10 36 Scottish Household Survey Questionnaire April 2003 to December 2004 Special utensils 11 Pick up aid 12 Dressing aid 13 Bath shower seat 14 Bath lifts 15 Adapted toilet seat 16 Hearing aid 17 Other 18 None used 19 RG9 ARE THERE ANY ADAPTATIONS OR SPECIAL EQUIPMENT WHICH YOU DO NOT CURRENTLY HAVE WHICH WOULD MAKE IT EASIER FOR YOU TO MANAGE INDEPENDENTLY Yes 1 No 2 Ask if coded yes 1 at RG9 If not skip to RG11 RG10 WHAT SORT OF EQUIPMENT IS THAT Do not prompt code all that apply RG10A RG10U Wheelchair 1 Walking sticks crutches 2 Walking frame tripod or Zimmer 3 Trolley 4 Bed poles or ladders 5 Ramps 6 Artificial limbs 7 Handrail 8 Stairlift 9 Hoists 10 Special utensils 11 Pick up aid 12 Dressin
100. 0 8 0 L 0 90 bY O 000 YI bY 0 90 L 0 8 0 60 60 0 T 0 T 0 T 0 T 0 T 0 T 0 T 60 60 8 0 L 0 90 bY O 000 I 5 0 9 0 8 0 60 60 0 T 0 T oV T DV T YI oV T 20V T 200 T 200 T 60 60 8 0 9 0 5 0 000 CI 708 0 L 0 708 0 60 0 T 0 T 29V T 25V T 2b VT 2b VT 29V T va VT 29V T 200 T 200 T 60 8 0 YL 708 0 000 LI 70 0 L 0 8 0 60 0 T 20V T YI YC I YC I YC I YC I YC I 20V T I 200 T 60 8 0 L0 75 0 00001 YS L 0 60 0 T 2b VT 29V T bC I YC I YC I YC YC C YC I va T 29V T 200 T 60 YL YS 000 6 9 8 0 60 20V T oV T YC I Ye T Ye T Ye I Ye T Ye T Ye T Ye T YC I 20V T oV T 60 8 0 9 0 000 8 9 0 8 0 0 T 20V T YC I Ye T Yoo T bY I bY I bY T bY I bY T Ye T Ye T YC I 25V T 0 T 8 0 9 0 000 L L 0 60 DV T YC I Yoo T bY T bY T YS T YS T YS T YS T YS T bY T bY T Yoo T YC I 2b VT 60 L 0 0009 9zIs Ijduw L 0 0 T YC I Ye T Y T YS T 209 T 209 T YoL T YoL YoL I 209 I 209 YS T bY T Ye T YC I 200 T L 0 000 8 0 25V T Yoo T YS T 209 T YoL I 758 I 8 I 6 6 T 6 T 8 I 78 I YoL 9 YS T Ye T 20V T 8 0 000 t 60 Yoo T S T YL 6 200 200 YC YC YC YC YC 200 200 6 YoL I YS T Ye T 60 000 20V T 209 T 6 LM Ye C bY C S C 209
101. 03 2004 Similarly in theory an additional weight should be applied in cases where a dwelling contains more than one household only one of which is interviewed in order to adjust for the lower probability of selection for each of the households in that dwelling In practice however as only a very small number of dwellings were found to contain more than one household the use of such a weight would make very little difference to the overall results and it was therefore felt that it was not worthwhile introducing further complication to the weighting calculations Weighting for analysis based on individual random adult data Using the Postcode Address File produces a sample of households so for analysis of individual level data it is also necessary to weight the responses of the random adult by the number of adults resident in the household who were eligible for interview The reason for this is that individuals living in larger households have a lower probability of selection than adults in for example single adult households where that one person must be sampled As a result of this the unweighted profile of random adult respondents will tend to be skewed towards those sections of the population most likely to live in households with fewer adults older people and older females in particular and away from those likely to live in households with larger numbers of adults younger people Once the data are weighted by the numb
102. 03 2004 Table 4 7 Comparison of 2003 2004 SE urban rural classification of eligible addresses and 2003 2004 participating households Row percentages all eligible addresses shown in bold participating households in plain text Large urban Other urban Accessible Remote Accessible Remote areas areas small towns small towns rural rural Total Aberdeen City 94 1 4 5 1 4 100 0 93 5 5 0 1 5 100 0 Aberdeenshire 19 6 14 8 9 6 39 3 16 7 100 0 18 0 14 5 9 6 39 7 18 2 100 0 Angus 6 1 60 2 13 3 20 1 0 4 100 0 5 8 57 9 12 9 23 0 0 5 100 0 Argyll and Bute 17 4 32 3 7 7 42 6 100 0 15 0 32 1 6 8 46 1 100 0 Clackmannanshire 53 4 32 6 14 0 100 0 51 0 33 4 15 5 100 0 Dumfries amp Galloway 27 8 20 3 5 3 27 2 19 4 100 0 26 2 20 1 4 5 28 0 21 2 100 0 Dundee City 99 5 0 5 100 0 99 5 0 5 100 0 East Ayrshire 39 8 34 9 1 8 22 0 1 5 100 0 39 8 35 9 1 3 21 5 1 5 100 0 East Dumbartonshire 59 3 27 3 7 0 6 3 100 0 55 7 30 3 5 6 8 4 100 0 East Lothian 24 8 29 0 15 7 17 1 13 4 100 0 23 3 29 9 15 4 18 4 13 0 100 0 East Renfrewshire 86 0 9 9 4 1 100 0 86 8 9 5 3 7 100 0 Edinburgh City 96 5 2 4 1 1 100 0 95 9 3 1 1 0 100 0 Eilean Siar 30 6 69 4 100 0 30 1 69 9 100 0 Falkirk 88 4 6 2 5 4 100 0 88 1 6 6 5 3 100 0 Fife 62 3 17 9 19 8 100 0 59 7 19 4 20 9 100 0 Glasgow City 99 8 0 2 100 0 99 8 0 2 100 0 Highland 21 7 10 2 19 8 14 1 34 3 100 0 19 3 10 3 20 2 15 5 34 8 100 0 Inverclyde 91 6 3 1 5 2 100 0 90 5 3 4 6 1 100 0 Midlothian 72 2 15 5 12 3 100 0 72 9 15 4 11
103. 03 2004 Local council jDoesntrepyde Other Original Household X a wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Don t know neverthoughtaboutit Origna Household fla wt April 2003 Previously asked of random adult RF6 Ine7el_ 2003 2004 Local council jDoesntrepyde No time Original Household X a wt April 2003 Previously asked of random adult RF6 ihhclem 2003 2004 Local council Doesn t recycle Should be collected used to be collected jOrigna Household lla wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Re use things Original Household a wt April 2003 Previously asked of random adult RF6 Local council Doesn trecycle Health reasons oldage Original X Househod la wt April 2003 Previously asked of random adult RF6 Local council Local services Original Household X laa wt April 2003 Previously asked of random adult RF6 if13a 1999 2000 Local services Convenience of Post Office 1 Original Random adult jJind wt February1999 CT O if13b 1999 2000 Local services ConvenieneeofBank Original Random adult find wt February1999 CT O Local services Convenience of Doctors
104. 03 2004 data slightly under represent urban areas as a result of deviation of actual deadwood and non response from sampling assumptions 21 Scottish Household Survey Fieldwork outcomes 2003 2004 Table 4 6 Comparison of all Scottish households all sampled households all eligible households and participating households by urban rural classification All Scottish All sampled All eligible All participating addresses addresses households households Large urban areas 41 41 40 41 Other urban 29 29 28 28 Small accessible 10 10 10 10 towns Small remote towns 3 3 4 3 Accessible rural 12 12 11 12 Remote rural 6 6 8 6 Weighted by number households within each unit postcode Weighted to reflect disproportionate sampling across local authorities Weighted to reflect disproportionate sampling and non response across local authorities Comparison of the households at which SHS interviews were achieved and the classification of all households sampled at a local authority level shows that there is a good match between the two within local authorities although overall large urban areas are under represented Table 4 7 compares the proportion of households in each local authority in each type of area 3 Full details available in Scottish Executive 2004 Scottish Executive Urban Rural Classification 2003 2004 available at http www scotland gov uk library5 rural seurc 00 asp 22 Scottish Household Survey Fieldwork outcomes 20
105. 100008 1 13 1 00 57 oo 2 00 05 01 00 1 00 2000 00 0 2 1000100010 1 13 1 00 1 15 00 2 00 05 01 00 1 00 2000 00 0 2 1000100011 1 00 1 00 1 20 oo 2 00 06 01 00 1 00 2000 00 A 1 1000100012 1 00 1 00 B0 oo 200 06 01 00 1 00 200000 A 1 1000100013 1 00 1 00 1 20 oo 2 00 06 01 00 1 00 2000 00 14 1 1000100014 1 00 1 00 60 00 2 00 06 01 00 1 00 2000 00 1 1000100015 1 00 1 00 1 80 oo 2 00 06 01 00 1 00 2000 00 A 1 1000100016 90 1 00 1 10 oo 2 00 06 01 00 1 00 2000 00 N 2 1000100017 1 03 1 00 EF oo 2 00 06 01 00 1 00 2000 00 1 5 1000100018 1 18 1 00 B oo 2 00 06 01 00 1 00 2000 00 x 5 1000100019 1 04 1 00 53 oo 2 00 06 01 00 1 00 2000 00 B 5 1000100020 1 04 1 00 2 11 oo 2 00 06 01 00 1 00 2000 00 B 5 1000100021 1 04 1 00 1 59 oo 200 06 01 00 1 00 2000 00 B 5 1000100022 1 04 1 00 1 06 1 00 1 92 2 00 06 01 00 1 00 2000 00 B 5 1000100023 104 1 00 53 00 200 060100 100 200000B 5 1000100024 1 00 1 00 60 oo 2 00 07 01 00 1 00 2000 00 A 1 1000100025 1 00 1 00 B0 oo 200 07 01 00 1 00 2000 00 A 1 1000100026 1 00 1 00 60 00 2 00 07 01 00 1 00 2000 00 4 1 1000100027 1 00 1 00 2 39 oo 2 00 07 01 00 1 00 200000 A 1 1000100028 1 00 1 00 B0 oo 200 08 01 00 1 00 2000 00 A 1 1000100029 1 00 1 00 60 oo l 200 08 01 00 1 00 2000 00 A 1 1000100030 1 00 1 00 1 20 1 00 30 2 00 08 01 00 1 00 2000 00 A 1 Variable View
106. 11E FROM THIS CARD WHAT KIND OF HELP DID a ar preference a YOU RECEIVE FROM ANY OF THOSE SOURCES Don t know 4 Financial support 1 Advice and information 2 Accommodation and resettlement support 3 Healthcare 4 Work and related opportunities 5 Social or personal emotional support 6 Ask RA11F if individual agency approached for help at RA11C but not coded as received help from them at RA11D 24 Scottish Household Survey Questionnaire April 2003 to December 2004 RB NEIGHBOURHOODS AND COMMUNITY SAFETY ASK ALL RB1 RB1 THINKING NOW ABOUT THE NEIGHBOURHOOD YOU LIVE IN HOW WOULD YOU RATE IT ASA PLACE TO LIVE If pressed define your neighbourhood as the street you live in and the streets nearby urban or the local area rural Very good 1 Fairly good 2 Fairly poor 3 Very poor 4 No opinion 5 RB2 AND WHAT ASPECTS OF THIS IMMEDIATE NEIGHBOURHOOD IF ANY DO YOU PARTICULARLY LIKE PROBE AND WHAT ELSE RB2A RB20 Area well maintained 1 Good public transport 2 Nicely landscaped open spaces 3 Safe area low crime 4 Good outlook view 5 Quiet peaceful 6 Friendly people 7 Convenient shop other amenities 8 Good local shops 9 Good local leisure facilities 10 Good local schools 11 Good facilities for children 12 Good neighbours 13 Good sense of community 14 No little traffic 15 Safe slow traffic 16 Other 17 Nothing 18 HB3 AND WHAT ASPECTS OF THIS IMMEDI
107. 14 4243 0131 314 4254 For general enquiries about National Statistics in the United Kingdom Government contact the National Statistics Public Enquiry Service on 020 7533 5888 minicom 01633 812399 Email info statistics gov uk Fax 01633 652747 Letters room DG 18 1 Drummond Gate LONDON SW1V 2QQ You can also find National Statistics on the internet go to www statistics gov uk Courts and law 0131 244 2227 Recorded crime and prisons 0131 244 2225 If you would like to be consulted about new or existing statistical collections or to receive notification of forthcoming statistical publications please register your statistical interest on the Scottish Executive ScotStat web site at www scotland gov uk scotstat To register your interest in SHS news register your interest in cross cutting surveys Current staff names e mail addresses and the publications listed below as well as a range of other statistical publications can be found on the Scottish Executive Web site at www scotland gov uk stats Further information on the General Register Office for Scotland is available on the website www gro scotland gov uk Most recent Statistical Publications relating to the Scottish Household Survey Ref no Title hast published Price fSootland s People Results from the 2003 2004 Scottish Household Survey August2005 20 00 fScottish Household Survey Methodology 2003 2004 August205 200
108. 1999 2000 Transprt jREl2Heathreasons Original Random adult find wt Juy1999 O ei2m 1999 2000 Transprt REl2 Difficult access on off steps Origna Randomadut jind wt Juy1999 rel2n 1999 2000 Transprt REZ Too muchtocarryawkward TT Origna Randomadut jind wt Juy1999 rei20 1999 2000 Transport J REI2Uncomfotable Orignal Random adult find wt X Juy1999 ei2p 1999 2000 Transport JRE22Othrs 0 Original Random adult find w Juy1999 re12q 1999 2000 X Transport JREI2Noned o Origna Randomadut X find w Juy1999 rel2r_ 1999 2000 Transport jJREl12Preferto walk Original Randomadut jind wt X Juy1999 ei2s 1999 2000 Transprt JREl12Dislie waiting about Origna Random adult find wt X Juy1999 eiat 1999 2000 Transprt j REl2Longwalktobusstop Origna Random adult find wt Juy1999 ei2u 1999 2000 Transprt RE22Lives centrally within walking distance Origna Random adult find wt Juy1999 ei2v 1999 2000 Transport JREl2Noreason given 1 1 1 1 1 Orignd Random adult find w Juy1999 rel2w 1999 2000 Transprt RE12
109. 2 1 4 Total eligible for inclusion in the survey 44 485 90 6 100 0 Not yet built under construction 49 0 1 Demolished derelict 622 159 Vacant empty 2 204 4 5 Non residential address 590 1 2 Communal establishment institution 84 0 2 Address out of scope 424 0 9 Insufficient address no trace 381 0 8 Other ineligible 246 0 5 Total ineligible 4 600 9 4 Total issued addresses 49 085 100 0 Scottish Household Survey Fieldwork outcomes 2003 2004 Trends in response rates With a response rate of 68 9 the 2003 2004 sweep of the survey achieved a higher response rate than either of the previous two year sweeps of the SHS In 1999 2000 the overall response rate was 66 and in 2001 2002 was 67 The table below shows the rates for each local authority Table 2 4 Trends in SHS response rates 1999 to 2004 Change 2001 2002 Response rate Response rate Response rate to 2003 2004 1999 2000 2001 2002 2003 2004 points Aberdeen City 65 67 66 1 Aberdeenshire 68 70 74 4 Angus 67 73 15 2 Argyll and Bute 71 69 73 4 Clackmannanshire 66 62 71 9 Dumfries and Galloway 69 69 73 4 Dundee City 62 66 67 1 East Ayrshire 69 71 15 4 East Dumbartonshire 68 69 13 4 East Lothian 67 63 67 4 East Renfrewshire 59 63 66 3 Edinburgh City of 64 60 63 3 Eilean Siar 19 81 19 2 Falkirk 66 65 74 9 Fife 65 65 75 10 Glasgow City 62 63 60 3 Highland 68 71 70 1 Inverclyde 68 69 73 4 Midlothian 66 66 68 2 Moray 2 72 76 4 North Ayrshire 70 63 69 6 North
110. 2 4 Open countryside 4 9 5 0 Unclassified 2 0 2 0 Sample data is weighted to take account of disproportionate sampling between local authorities The descriptors are those used by Experian the developers of MOSAIC and reflect the marketing origins of the MOSAIC classification system Ineligible addresses The sampling for the survey makes assumptions about the proportion of addresses that will be ineligible for interview in each local authority Ineligible addresses would include derelict vacant and non residential addresses The allowance for ineligible addresses is based on the proportion that was actually identified in the course of the 1999 2000 SHS fieldwork the most recent two year sweep when the sample was being designed in 2002 The extent to which these assumptions are accurate has an important bearing on the survey outcomes If there are more deadwood addresses the interviewers have a smaller pool of addresses from which to achieve the target number of interviews Conversely a smaller proportion of deadwood addresses should make it easier to achieve the target number of interviews but this target will be met with a lower response rate Thus overall if the proportion of deadwood differs from the sampling assumptions this might have some impact on achieving the interview target and the target response rate Table 2 2 shows the proportion of deadwood addresses assumed in each local authority when sampling for
111. 2002 Householdresources Potential internet use Buying or ordering tickets and services Original Randomadult find wt X January2001 O re8b_ 2001 2002 Householdresources Potential internet use Finding information about goods services Original Random adult jind wt X January2001 O ic8c 2001 2002 Householdresources Potential internet use Finding information related to education Original Randomadult find wt X January2001 O ic8d 2001 2002 Householdresources Potential internet use General browsing or surfing Original Random adult jind wt X January2001 O Potential internet use Grocery shopping Original Randomadult ind wt Januay2001 j 4 caf 2001 2002 Householdresources Potential internet use Looking for work TT Origmad Randomadut jind wt X January2001 ic8g 2001 2002 Householdresources Potential internet use Non Groceryshopping Origna Random adult jind wt X January2001 O Potential internet use On line learning Original Randomadult ind wt January2001 O c8i 2001 2002 Householdresources Potential internet use Paying Rent TT Origna Random adult jind wt X January2001 1 re8j_ 2001 2002 Householdre
112. 2003 2004 and compares this with the proportion recorded by interviewers in the field 1 See Scottish Household Survey Methodology 2003 2004 Scottish Household Survey Fieldwork outcomes 2003 2004 Table 2 2 Deadwood rate assumptions and actual deadwood Sorted in descending order of deviation absolute value between actual and assumption 1999 2000 deadwood assumption for 2003 2004 actual sampling 2003 2004 deadwood Deviation 96 96 points Argyll and Bute 16 4 22 0 5 6 Orkney Islands 15 5 11 4 4 1 Shetland Islands 13 4 9 5 3 9 West Dunbartonshire 6 5 10 0 3 5 Eilean Siar 11 5 14 5 3 0 Highland 13 0 10 2 2 8 Stirling 6 4 9 2 2 8 Angus 6 2 8 3 2 1 Clackmannanshire 5 8 7 9 2 1 Renfrewshire 10 1 12 2 2 1 Dumfries and Galloway 8 0 9 9 1 9 Perth and Kinross 7 6 9 5 1 9 East Ayrshire 7 6 5 8 1 8 Falkirk 4 7 6 5 1 8 Fife 6 5 8 2 1 7 East Dunbartonshire 3 0 4 2 1 2 East Renfrewshire 5 5 4 4 1 1 Edinburgh City of 9 2 8 1 1 1 Dundee City 13 0 12 0 1 0 West Lothian 6 6 5 6 1 0 South Ayrshire 7 2 8 1 0 9 East Lothian 7 3 6 5 0 8 North Lanarkshire 6 6 5 9 0 7 Scottish Borders 10 5 9 8 0 7 Aberdeenshire 9 7 9 1 0 6 Moray 9 9 9 3 0 6 South Lanarkshire 6 8 7 4 0 6 Inverclyde 11 4 11 9 0 5 Midlothian 4 2 4 6 0 4 Aberdeen City 9 8 10 0 0 2 Glasgow City 12 9 12 9 0 0 North Ayrshire 9 1 9 1 0 0 All areas 9 1 9 4 0 3 This shows that overall and in many local authorities the level of deadwood recorded by interviewers was
113. 22 1 04 Complete r 1 06 Valid rando 1 92 2000 data 06 01 00 1 00 2000 00 Aberdeensh Accessible Acce 1000100023 1 04 Complete r 53 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeensh Accessible Acce 1000100024 1 00 Complete r 60 No valid ran 2000 data 07 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100025 1 00 Complete r 60 No valid ran 2000 data 07 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100026 1 00 Complete r 60 No valid ran 2000 data 07 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100027 1 00 Complete r 2 39 No valid ran 2000 data 07 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100028 1 00 Complete n 60 No valid ran 2000 data 08 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100029 1 00 Complete rn 60 No valid ran 2000 data 08 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100030 1 00 Complete r 1 20 Valid rando 90 2000 data 08 01 00 1 00 2000 00 Aberdeen C Large urba Larg gt Data View Variable view J 77 UM p QU UU SHS Lite User Guide Version 1 0 SPSS Processor 4 b is ready lp E Ie ERG 3 2 4 Variable View This view contains descriptions of the attributes of each variable in SHS Lite In this view e Rows are variables e Columns are variable attributes Figure 4 Variable View shs lite reduced flat file 180204 sav SPSS Data Editor File Edit wiew Data Transform Ana
114. 236 H B 16 3 7 2 8 596 16 3 Argyll and Bute 14 396 15 856 5 5 13 8 8 396 9 6 15 3 Borders 12 0 18 3 27 14 6 77 9 1 18 3 Clackmannanshire 11 2 17 5 5 6 17 9 5 1 9 8 13 7 Dumfries and Galloway 10 896 15 5 4 2 15 9 T5 10 7 19 4 Dundee City 17 2 16 5 7 6 9 3 5 2 4 8 15 6 East Ayrshire w 17 7 E don 13 86 T 10 5 12 6 East Dunbartonshire C sam D 14 596 C 4 4 15 8596 10 8 15 7 17 4 East Lothian 10 3 18 856 5 95 18 6 5 896 8 05 16 8 East Renfrewshire 7 5 16 8 3 8 21 5 8 596 11 5 16 6 Edinburgh City 21 9 17 4 4 8 12 5 5 396 9 7 12 3 Falkirk 13 0 19 7 5 5 16 7 8 096 9 3 14 7 Fife 12 896 19 2 5 5 15 9 7 2 10 2 13 896 Glasgow City 22 196 14 8596 8 096 11 0 7 0 7 0 10 5 5P55 Processor is ready Page 24 SHS Lite User Guide Version 1 0 Figure 16 can be used to see the effect of smaller sample sizes The survey estimates that in East Dunbartonshire 13 of households contain one non pensioner adult calculated by combining 8 4 single adults and 4 4 single parents However only 608 households in East Dunbartonshire were interviewed so from the sampling error table see page 27 we can see that this estimate has a 95 confidence interval of approximately 3 suggesting that the true value lies between 10 and 16 Clearly the estimate for any single area 1s less reliable that the estimate for Scotland as a whole 5 3 Statistical Significance Because the survey s estimates m
115. 3 Previously asked of random adult RF6 ihceb 2003 2004 Local council Doesn trecycle Facilities too far away Original Household laa wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Don t know where facilities are Original Household fla wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Cannot transport materials to recycling dept jOrigna Household la wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Do not use enough not enough to be worth it jOrigna Household la wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Nowhere to store athome O jOrigna Household la wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Too much mess bother Original Househod X la wt April 2003 Previously asked of random adult RF6 Local council Doesn t recycle Not interested waste of time jOrigna X Househod X la wt April 2003 Previously asked of random adult RF6 ihc7ei 2003 2004 Local council Doesn trecycle Normally do not taken it this moth Origna Household lla wt April 2003 Previously asked of random adult RF6 ihcej 20
116. 3 Eelk Bl 2 Recycling and car access Cumulative Sex of random adult Frequency Percent Valid Percent Percent ee E M Mo car never recycles Mo car infrequent recycling Mo car frequent recycling One car never recycles One car infrequent recycling One car frequent recycling Two or more cars never recycles Two or more cars infrequent recycling Two or more cars frequent recycling Total Missing System Total Female i Mo car never recycles Mo car infrequent recycling Mo car frequent recycling One car never recycles One car infrequent recycling One car frequent recycling Two or more cars never recycles q SPS5 Processor is ready From the table above you can see that not only is there a relationship between recycling and access to a car but also there is a relationship with the sex of the respondent SHS Lite User Guide Version 1 0 Page 105 9 SPSS Syntax This feature of the product can be used to help you save time when analysing your data particularly if you are continually performing the same types of analysis on similar sets of data SPSS syntax provides a method for you to control the product without navigating through dialog boxes Instead you control the application through syntax based commands Nearly every action you can achieve through the user interface can also be achieved through syntax 9 1 Creating Syntax The easiest way to create syntax is
117. 3 3 All adults n 28 746 n 28 746 n 55 804 16 24 13 9 8 1 10 6 12 9 25 59 60 1 57 0 59 1 58 5 60 plus 26 1 35 0 30 3 28 6 Total 100 0 100 0 100 0 100 0 Weighted by number of adults and local authority size Weighted by local authority size However even after this design weighting has been applied the weighted random adult sample for 2003 2004 still does not match the profile of the adult population suggested by the Census estimates with as expected under representation of younger people in general and 16 24 year olds in particular Consequently older people are over represented in the random adult sample Driving and transport In relation to driving and transport the survey results also look broadly in line with what one might expect from other sources such as the National Travel Survey and the differences which exist are again comfortably within the confidence intervals associated with the two surveys Mode of travel comparisons with other sources are less conclusive though methodological or classification differences may be playing a part here 19 Scottish Household Survey Fieldwork outcomes 2003 2004 Table 4 4 Comparison of key variables relating to driving and transport 2002 2003 National Travel Survey n 1 511 households Yo adults with full driving licences Males aged 17 77 Females aged 17 58 Total 67 Mode of travel to schoolt Walking 53 Car 19 Bus 26 Other 2 households wi
118. 37 The Scottish Funding Councils for 0131 313 6575 Higher and Further Education General Register Office for Scotland Vital statistics and publications Population statistics census statistics or digital boundary products 0131 314 4243 0131 314 4254 For general enquiries about National Statistics in the United Kingdom Government contact the National Statistics Public Enquiry Service on 020 7533 5888 minicom 01633 812399 Email info statistics gov uk Fax 01633 652747 Letters room DG 18 1 Drummond Gate LONDON SW1V 2QQ You can also find National Statistics on the internet go to www statistics gov uk Courts and law 0131 244 2227 Recorded crime and prisons 0131 244 2225 If you would like to be consulted about new or existing statistical collections or to receive notification of forthcoming statistical publications please register your statistical interest on the Scottish Executive ScotStat web site at www scotland gov uk scotstat To register your interest in SHS news register your interest in cross cutting surveys Current staff names e mail addresses and the publications listed below as well as a range of other statistical publications can be found on the Scottish Executive Web site at www scotland gov uk stats Further information on the General Register Office for Scotland is available on the website www gro scotland gov uk Most recent Statistical Publications relating to the Scottish Hous
119. 4 splitting the file 36 Splitting the File 56 standard error 23 Statistical sampling theory 23 statistical significance 23 subsets 17 syntax 107 108 109 Technical Report 26 Three Way Crosstab Table 34 Transport across Scotland some Scottish Household Survey results for parts of Scotland 114 true values 26 UK Data Archive 111 Using Weights 47 value labels 13 Value Labels 8 variability 23 variable attributes 10 variable list 13 variable name 13 Variable Recoding 18 Variable View 10 variables 8 Variables dialog box 13 Weighting Data 21 Zero values 29 Page 115 CR qp ep ep Gau pue NYBEOHdESlrdIass e Pee ICaTIOF 7 A SCOTTISH e Steven Hope MORI Scotland Chris Martin TNS Social A SCOTTISH EXECUTIVE NATIONAL STATISTICS PUBLICATION SCOTLanD s people METHODOLOGY 2003 2004 SCOTTISH HOUSEHOLD SURVEY Crown copyright 2005 ISBN 0 7559 4736 3 Scottish Executive St Andrew s House Edinburgh EHI 3DG Produced for the Scottish Executive by Astron B42230 07 05 Published by the Scottish Executive July 2005 Further copies are available from Blackwell s Bookshop 53 South Bridge Edinburgh EHI 1YS The text pages of this document are printed on recycled paper and are 10076 recyclable Contents 1 Survey OVC RVC Woe aise oe ee ee an IM A E eee 1 Background to The SHS NER Am P 1 2 SaMPUN Geaa a a Lu a a NU a EM
120. 4 0 51 3 51 4 55 8 60 1 41 1 41 4 14 3 23 2 6 5 7 2 11 9 81 21 1 or rw A A nr morc oo en M 41 396 45 096 5 1023 1965 591 7 106 58 296 54 096 45 596 54 496 60 9 308 1185 132 17 5 32 5 10 2 2 2 17 2 2 o c 2 cC wo C 4 E M cn cn Cn co Li SPSS Processor is ready While a two way crosstabulation would allow you to say that owner occupiers are more likely than people in rented tenure to have one or more cars the three way crosstabulation shows that while this relationship is generally true the difference is less among people who have detached and semi detached houses Also owner occupiers in flats are more likely than other owner occupiers to have no cars probably reflecting less need for a car in towns and cities and the difficulty of parking 6 3 3 Splitting the File This procedure splits the data file into separate groups for analysis based on the values of a erouping variable This has a similar effect to running a three way crosstab splitting analysis by the specified variable but Split File stays on until you switch it off and it applies to all analysis It is useful if you want to carry out a lot of comparative analysis comparing for example people who recycle and those who don t or people in different tenure groups An example of analysis after splitting the file can be found in Section 8 6 on page 56 e Select Data Split File from the menu bar or click the
121. 4 4 Total 100 0 Sex of random adutt Cumulative Frequency Percent Valid Percent Percent Male 43 3 45 4 45 4 Female 52 54 6 100 0 Total 85 3 100 0 Missing System 47 Total 100 0 gt Double click to edit Pivot Table 4 SP55 Processor is ready H 98 Ww 294 pt Page 50 SHS Lite User Guide Version 1 0 8 4 Example 4 Crosstab e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recall button if you have previously used Crosstabs e Click if necessary to clear existing variables e Select rd3 and click B to add it as a row variable see Figure 42 e Select agerband and click L to add it as a column variable Figure 42 rd3 and agerband added as row and column variables El Crosstabs Rows gt dateint s Reset A la n 4b shs Bcla ge riewrLral gt agerband Ex numbhh Help totads Layer 1 af 1 4 totkids g hhtype dq famtype 4 Family gt g ethnichh Display clustered bar charts Statistics Cells Format Suppress tables For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so we will use only column percentages e Select to display the Cells dialog box see Figure 43 e Select the column percentages option Cont e Select to return to the Crosstabs dialog box e Select The Viewer
122. 4 Qtr 1 34 5 43 7 18 8 3 0 100 Qtr 2 33 7 44 1 18 4 3 9 100 Qtr 3 35 4 42 1 19 5 3 1 100 Apparent quarter to quarter changes in the figures must be interpreted with caution they could well be the result of sampling variability Tenure of households Per cent of households Qtr Qtr Qtri Qt Qtr Qtr Qtr1 Qtr3 Qtr ate Qtr1 Qtr3 1999 2000 2001 2002 2003 2004 e Owned outright zm Buying with help of loan mortgage Rent LA SH lt Rent HA Co op 3 Rent private landlord e Other 21 Scottish Household Survey Methodology 2003 2004 Year 1999 2000 2001 2002 2003 2004 Qtr Qtrl Qtr2 Qtr3 Qtr4 Qtrl Qtr2 Qtr3 Qtr4 Otr1 Qtr2 Qtr3 Qtr4 Otr1 Qtr2 Qtr3 Qtr4 Qtrl Qtr2 Qtr3 Qtr4 Qtrl Qtr2 Qtr3 Owned outright 22 1 21 8 22 1 24 0 23 9 23 9 25 9 24 3 24 7 23 6 25 6 26 4 2T 24 8 24 9 26 8 26 7 27 0 27 8 24 9 27 6 27 9 28 7 Buying with help of loan mortgage 38 7 40 0 37 1 37 8 38 9 38 5 37 4 37 2 37 2 39 3 39 2 38 8 38 5 37 0 37 8 39 9 37 4 38 2 37 6 38 4 35 6 36 9 35 4 Household Tenure Rent LA SH 29 1 251 28 0 26 3 24 9 26 2 24 0 25 6 24 5 22 9 23 0 22 2 22 9 22 9 23 8 20 6 21 8 19 8 19 6 20 2 214 18 3 18 9 Rent HA Co op 3 5 6 0 5 2 5 0 4 9 5 4 3 9 5 4 5 8 6 6 4 8 4 4 4 8 7 4 992 5 3 6 3 6 7 1 2 6 0 I2 7 1 8 9
123. 6 HH28 DO YOU JUST HAVE ONE JOB AT THE MOMENT OR DO YOU HAVE MORE THAN ONE One job only 1 More than one job 2 Not sure 3 Continue if HH28 coded 2 Otherwise go to HH30 HH29 I D LIKE TO ASK YOU ABOUT THE WORK YOU DO FOR THE MOST HOURS EACH WEEK IN THIS JOB ARE YOU AN EMPLOYEE OR SELF EMPLOYED Employee 1 Self employed 2 Not sure 3 If more than 1 job coded 2 at HH28 go to HH31 Otherwise continue HH30 ARE YOU AN EMPLOYEE OR SELF EMPLOYED Employee 1 Self employed 2 Not sure 3 If self employed coded 2 at HH29 or HH30 go to HH46 Otherwise continue HH31 NOW I D LIKE TO ASK YOU ABOUT THE PAY IN THIS JOB WHAT IS USUAL TAKE HOME PAY AFTER ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON BUT INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estimate Write in to nearest LM No usual pay 999996 Don t know 999998 Hefused 999997 Continue if amount entered at HH31 Otherwise go to HH35 HH32 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH33 CODE ACCURACY Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 HH34 HOW MANY HOURS A WEEK WORKED FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them pF Can t say 98 17 Scottish
124. 7 100 0 Moray 23 1 35 4 32 5 9 0 100 0 21 3 35 2 34 0 9 5 100 0 North Ayrshire 70 6 17 7 8 9 2 8 100 0 69 1 20 2 8 3 2 4 100 0 North Lanarkshire 66 4 15 4 11 1 7 1 100 0 67 9 13 9 10 4 7 8 100 0 Orkney 35 4 64 6 100 0 37 6 62 4 100 0 Perth and Kinross 35 6 21 3 33 7 9 4 100 0 31 6 19 6 39 2 9 7 100 0 Renfrewshire 79 4 8 9 7 9 3 8 100 0 78 9 7 8 8 9 4 4 100 0 Scottish Borders 29 7 19 9 4 0 37 6 8 8 100 0 27 7 21 2 4 1 37 6 9 4 100 0 Shetland 33 2 66 8 100 0 34 4 65 6 100 0 South Ayrshire 71 5 3 4 7 5 15 5 2 1 100 0 72 6 3 1 6 6 16 9 0 9 100 0 South Lanarkshire 22 4 57 7 T T 12 1 100 0 19 7 58 1 8 1 14 2 100 0 Stirling 50 4 10 7 33 7 5 2 100 0 49 3 10 4 35 0 5 3 100 0 West Dumbartonshire 51 2 47 9 0 9 100 0 53 1 46 0 0 9 100 0 West Lothian 68 0 17 7 1 4 12 9 100 0 69 5 15 2 1 7 13 6 100 0 Scotland 39 5 27 8 9 9 4 1 11 1 7 6 100 0 40 6 28 3 10 3 2 9 12 3 5 5 100 0 Rows may not always add to 100 because of rounding 23 Scottish Household Survey Fieldwork outcomes 2003 2004 Economic activity One area where the results of the SHS indicate significant differences from other sources is in relation to indicators of economic activity As the following table shows the most recent results from the Labour Force Survey LFS suggest that the SHS may be under representing people in employment and over representing the economically inactive It should be emphasised however that the information from the SHS shown here is based on the respon
125. 7 2 3 Changing Table Format You can change the formatting of any text within a table This includes changing the font size colour and adding additional formatting such as bolding or italics If the Formatting toolbar see Figure 34 is not already visible from the menus choose e View Toolbar Figure 34 Formatting toolbar Formatting Toolbar1 f Arial E e Select the text you want to re format e Select the desired formatting option from the toolbar Page 44 SHS Lite User Guide Version 1 0 7 3 Saving an Output File The contents of the Viewer can be saved to a Viewer document spo The saved document includes both panes of the Viewer window the outline and the contents To save an output file Choose File Save As from the menu bar Type a name for the file Specify a location for the output file Click the button 7 4 Opening an Output File To open an output file Choose File Open Output from the menu bar Select the location of the file Select the file to be opened Click the button SHS Lite User Guide Version 1 0 Page 45 8 Illustrative Examples 8 1 Example 1 Using Weights This example shows how to weight the cases All of the following examples will be weighted by the ind wt weight Before you create the following examples it is important to weight the data For more background information on weighting data see Section 4 7 on page 20 Weighting the
126. 9 IF A JOB OR A PLACE ON A GOVERNMENT Yes 1 TRAINING SCHEME HAD BEEN AVAILABLE IN No 2 THE WEEK PRIOR TO LAST SUNDAY WOULD Refused 3 YOU HAVE BEEN ABLE TO START WITHIN TWO WEEKS Continue if HG1 coded 2 If HG1 coded 1 go to HG18 4 es HG2 LAST WEEK THAT IS IN THE SEVEN DAYS No 2 ENDING LAST SUNDAY WERE YOU ON ANY OF THE FOLLOWING SCHEMES Continue if HG9 is coded 2 If HG9 is coded 1 go to HG12 Door i HG10 WHY WOULD YOU NOT HAVE BEEN ABLE TO Youth Training YT 1 START IN THE NEXT TWO WEEKS HG10A New Deal including on the Gateway 2 HG10L Training for Work 3 Any other reasons E ol scneme 3 Waiting for the results of an application for a job being assessed by a training agent 1 If coded 5 at HG2 go to HG5 Otherwise continue In full time education student 2 Looking after the family home 3 HGS3 MAY JUST CHECK WAS THAT Temporarily sick or injured 4 READ OUT Long term sick or disabled 5 No jobs available 6 scheme in Scotland run by a Local Enterprise company 1 Do not need employment 7 r was it some other scheme 2 Not versiared Iackinas k 8 Don t know 3 ot yet started looking for wor 8 Hetired from paid work 9 HG4 IN THE WEEK ENDING LAST SUNDAY DID YOU Lack of available childcare 10 DO ANY PAID WORK OR HAVE ANY OTHER PAID Cannot afford childcare 11 JOB OR BUSINESS IN ADDITION TO THE Other reason please specify 12 Em US EN Vee ee eee If HG10 is coded 9 go to HG11 If any other coded g
127. 99 December2001 1 1 1 1 1 1 rb8na 2001 2002 Neighbourhoods Level of concern about having homebrokeninto Original Random adult nd wt January 2002 _ 0 1 ro8nb 2001 2002 Neighbourhoods Level of concern about being mugged orrobbed Original Random adult nd wt X jJanury2002 J 0 G0 b8nc 2001 2002 Neighbourhoods Level of concern about havingcarstolen Original Random adult nd wt X jJanury2002 rb8nd_ 2001 2002 Neighbourhoods Level of concern about having things stolen rom car Original Random adult nd wt X janury2002 J 0 Level of concern about being sexually assaulted or raped Original Randomadut jid wt X Januay2002 To o S rb8nf__ 2001 2002 Neighbourhoods Level of concern about being physically attacked in the street Original Randomadut nd wt January 2002 _ J amp 3 b8ng 2001 2002 Neighbourhoods Level of concern about being insulted pestered in a public plae Original Randomadut id wt X January 2002 J 3 Level of concern about being attacked because of skin colour race religion Original Randomadut j ind wt X Januay2002 J b8nx 2001 2002 Neighbourhoods Extent to which life affected by fear of crime Origina
128. A TS 62 5 52 Recodine Td IMO TOAST W aisse a ua best auae 66 5 73 Recods la mto Lan CW r a a r a a bede qose devuntets 71 8 8 EXAMPLE 8 RD3NEW BY AGERBAND CROSSTAB otsib ine uias ka niaaa aan EA EE 75 8 9 EXAMPLE 9 RD3NEW BY AGERBND2 CROSSTAB cccccccceecceeceeeececcececececcccecccccececeeeceeeceeeeeeeeees TI 8 10 EXAMPLE 10 LHREE WAY CROSSTAB 2 ioter f toe liri ticae lobae cvv bre eed latae didi iode 79 8 11 EXAMPLE 11 CHANGING THE TABLE LAYOUT scrierii titinen narini aeina aariaa 82 5 12 EXAMPLE T2 MULTIPLE RESPONSES ciraire iposed tittle a etica tee deba cuu n EA o4 BI SDONHDC USE eee re eee me IURI MEL LL LM E MMULLIM t diste tt 84 5 122 IMultple Respotise PEeQquetie yc ead cet deans are END epe Sh on diris ibt eiiis etta bles Rin 85 5 12 5 Aviat le Response CEOSSEQD oisi dtt ur eodeni Ip EN soU et abuso te ciet tbe e ed oU Ob oua ER eS 86 8 13 EXAMPLE 13 COMPUTING A NEW VARTABLBoc cisine sovsistveduvasbvrnavevenstasiaeeevwuerddeduwathecewssnaeadiebsbeciweeys 88 9 SPSS SY NDA Souenvintut o miei e dii eei eI E VUE I e ECRIRE kae UU De E ead En Ra LIRE Her Es VEL DN TEE edes 107 9 CREATING SYN PADO stan areca qucd Ove em Me ca iam nec Cc E realise ei Sh ieee cat sai end oome euet 107 D SAVIN Ge VEIN EA POU an sa ai e eor CIS Gace dtu D ames orte E Ev AM ederet EE Edu 108 9 3 OPENING ASS YNTEAX DE a caste osea ee hue Sawada cde ode E Uo Uu ee UMEN COD E tela 108 dE RUNNINGS INTA is sores ioi Meus utet e o
129. A11C DURING YOUR MOST RECENT EPISODE OF RA13 NOW THINKING ABOUT YOURSELF ARE YOU HOMELESSNESS WHICH OF THESE IF ANY DID CURRENTLY LOOKING TO MOVE OUT OF THIS YOU APPROACH FOR HELP HOUSEHOLD TO LIVE IN A SEPARATE HOME OR HOUSEHOLD OF YOUR OWN Family 1 Friends 2 Yes 1 Local Authority housing homelessness department 3 No 2 Local Authority social work department 4 f Advice service voluntary or statutory 5 Continue if RA13 1 otherwise go to RB1 Voluntary specialist homelessness RA14 FOR HOW LONG HAVE YOU BEEN LOOKING FOR accommodation or support agency 6 A SEPARATE HOME OF YOUR OWN Healthcare services 7 Other 8 Up to one month 1 None of these 9 Over one month up to six months 2 Over six months up to 12 months 3 RA11D AND FROM WHICH IF ANY DID YOU RECEIVE Over 12 months 4 HELP REGARDLESS OF WHETHER YOU Refused 5 APPROACHED THEM Don t know 6 Family 1 RA15 HAVE YOU GOT YOUR NAME ON EITHER A Friends 2 COUNCIL OR HOUSING ASSOCIATION WAITING Local Authority housing homelessness department 3 LIST Local Authority social work department 4 Yes Council 1 Advice service voluntary or statutory 5 Yes Housing Association 2 Voluntary specialist homelessness Refused 3 accommodation or support agency 6 Don t know 4 Healthcare services 7 Other 8 RA16 ARE YOU LOOKING TO RENT THE HOME YOU None of these 9 MOVE TO OR DO YOU PLAN TO BUY Ask RA11D if any of 1 8 coded at RA11C a 7 u RA
130. ATE NEIGHBOURHOOD IF ANY DO YOU PARTICULARLY DISLIKE PROBE AND WHAT ELSE RB3A RB3H Area poorly maintained run down 1 Poor public transport 2 Poor outlook view 3 Problem with neighbours 4 Problems with dogs 5 Unsafe area crime 6 Poor local shops 7 Vandalism 8 Poor local leisure facilities 9 Drug abuse 10 Poor local schools 11 Alcohol abuse 12 Nowhere for children to play 13 Noise 14 Young people hanging about Nothing for young people to do 15 Parking Problems 16 Too much traffic 17 Fast speeding traffic 18 Nothing 19 Other 20 RB4A HOW COMMON WOULD YOU SAY THE FOLLOWING THINGS ARE IN THIS NEIGHBOURHOOD RB4A RB4E CODE IN GRID Noisy neighbours or loud parties Vandalism graffiti or other deliberate damage to property Groups of young people hanging around on the street People who have been drinking or using drugs Rubbish or litter lying around Response options Very common 1 Fairly common 2 Not very common 3 Not at all common 4 Don t know 5 RB4XA HOW OFTEN IF EVER DO YOU DO ANY OF THE FOLLOWING IN THE EVENINGS THESE DAYS SAY BETWEEN 7PM AND 10PM RB4XA AND RB4XC Travel by bus Travel by train Response options Most days 1 At least once a week 2 At least once a month 3 Less than once a month 4 Never 5 Don t know 6 HB4AY TO WHAT EXTENT WOULD YOU SAY YOU ARE OR WOULD BE SAFE FROM CRIME WHEN DOING EACH OF THE FOLLOWING THINGS IN
131. CEIVING DECEICDABEINEE UTE DISABILITY LIVING ALLOWANCE CARE If both respondent and partner receive add two COMPONENT together Take care not to double count Enter to nearest Higher band 1 Lower band 3 Don t know 4 Don t know 98 If HH58 211 ATTENDANCE ALLOWANCE CONTINUE Refused 97 OTHERS GO TO HH59 HH62 WHAT PERIOD DID THAT COVER HH58D IN WHICH BAND ARE YOU RECEIVING Code in grid below Probe for best estimate ATTENDANCE ALLOWANCE 1 week 52 Higher band 1 2 weeks 26 Middle band 2 3 weeks 17 Lower band 3 4 weeks 13 Don t know 4 1 month 12 2 months 6 If respondent has partner ask HH59 and HH60 for each 3 months p benefit recorded Others go to HH61 6 months 2 HH59 IS IT YOU YOUR PARTNER OR BOTH OF YOU 1 year 1 WHO RECEIVE THAT BENEFIT Other 99 HH59A HH59K Don t know 98 AES A BE Ask HH63 and HH64 for all benefits coded at HH58 Ncome Suppor m 2 ISl HH63 HOW MUCH DID YOU AND YOUR PARTNER Working Families Tax Credit H8 R ISl RECEIVE IN BENEFIT LAST TIME YOU Child Tax Credit 1 2 8 If respondent and partner receive separate Jobseeker s Allowance Income 1 2 3 amounts add two together take care not to Jobseekers Allowance Contribution 1 2 3 double count i Housing Benefit 1 2 3 Enter to heare e Council Tax Benefit 1 2 3 Child Benefit 1 2 3 Maternity Allowance 1 2 3 State Retirement Pension 1 2 3 Pension Credit 1 2 3 Don t
132. D FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them Os Can t say 98 Continue if coded don t know at HH39 Otherwise go to HH46 HH42 LAST TIME PAID WHAT WAS TOTAL PAY BEFORE DEDUCTIONS Write in to nearest Don t know 999998 Refused 999997 Continue if amount entered at HH42 Otherwise go to HH46 HH43 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH44 CODE ACCURACY Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 HH45 ABOUT HOW MANY HOURS A WEEK WORKED FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them NENNEN Can t say 98 Continue If self employed coded 2 at HH29 or HH30 Otherwise go to HH52 HH46 ABOUT HOW MUCH AFTER TAX AND OTHER DEDUCTIONS TAKEN OUT OF THE BUSINESS FOR USE Accept gross if net not possible Write in to nearest No usual pay 999996 Don t know 999998 Refused 999997 Continue if amount entered at HH46 Otherwise go to HH49 HH47 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 18 Scottish Household Survey Questionnaire April 2003 to December 2004 HH47B CODE F
133. DD ASD SHS Lite User Guide Version 1 0 Page 2 2 1 Whats in the Box SHS Lite Dataset The SHS Lite dataset 1s a simplified version of the full survey data collected by the Scottish Household Survey The full survey data is both larger and more complex containing around 30 000 cases for each two year sweep of the survey with each case having approximately 2 000 variables The Scottish Executive decided to commission a simplified data file which would allow users to undertake most forms of analysis using a substantially smaller data file The main features of the SHS Lite data are The number of variables has been reduced from 1 825 to 573 Complex data loops have been removed and the original variables have been summarised in new variables The variables have been organised into sets of related variables These sets can be used to further simplify accessing variables through SPSS dialog boxes Some aspects of the data have not changed For example The number of cases remains over 30 000 With fewer variables however running analysis will be faster on most computers The structure of the data continues to have questions that relate to both sections of the questionnaire to the household and to an adult randomly selected within that household The data still needs to be weighted before the results can be considered representative of the household or adult populations The variable names are still linked
134. Derived ebruary 1999 spagebd anded age of HIH spouse partner Derived ebruary 1999 spsex ex of HIH spouse Derived ebruary1999 otads umber of adults Derived ebruary 1999 otkids 1999 2000 Demographis Total number of children in household Derived ebruary 1999 O kid Age of the youngest child Derived ebruary 1999 rb4ba Went to visit relatives Original anuary 2000 rb4bb Went out with relatives Original anuary 2000 rb4bc Had relatives round Original anuary 2000 rb4bd Spoke to relatives on the phone Original anuary 2000 rb4be Went out with friends Original anuary 2000 rb4bf Went out with friends Original anuary 2000 rb4bg ad friends round Original anuary 2000 rb4bh poke to friends on the phone Original anuary 2000 rb4bi poke to neighbours Original anuary 2000 rb4bj one of these Original anuary 2000 rb4c2 verall how involved do you feel in the local community Original anuary 2000 rflla Whether given up time for charity local groups in past 12 months Year 2000 Original anuary 2000 Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed rfllDb 1999 2000 Community involvement X Is that for one particular club charity campaign or organisations or for more than one Orignal Random adult___find_wt__ January2000 O fl2aa2 1999 2000 Community involvement Wor
135. FOREMAN IS RESPONSIBLE FOR OVERSEEING THE WORK OF OTHER EMPLOYEES ON A DAY TO DAY BASIS Yes 1 No 2 RH24 HOW MANY EMPLOYEES OF YOUR FIRM ORGANISATION ARE WERE THERE AT THE PLACE WHERE YOU ACTUALLY WORK WORKED 1 24 1 25 499 2 25 or more 3 Ask only the self employed coded 2 at RH22 otherwise skip to RH27 RH25 ARE WERE YOU WORKING ON YOUR OWN OR DO DID YOU HAVE EMPLOYEES On own with partners but no employees 1 With employees 2 RH26 HOW MANY EMPLOYEES ARE WERE THERE AT THE PLACE WHERE YOU WORK ED 1 24 1 25 499 2 25 or more 3 39 Scottish Household Survey Questionnaire April 2003 to December 2004 RH27 IN YOUR MAIN JOB ARE WERE YOU WORKING Full time 1 Part time 2 RH28 AND IS WAS THAT JOB PERMANENT OR TEMPORARY temporary means fixed term contract or seasonal Permanent 1 Temporary 2 RI RANDOM ADULT INCOME Random adult income These questions are only asked if the random adult is not the same person as the HIH or the spouse of the HIH from or about whom the information has already been collected Ask only if currently working If self employed skip to RI17 If not working retired other skip to RI56 RI1 NOW I D LIKE TO ASK YOU ABOUT THE PAY YOU GET IN THIS JOB WHAT IS YOUR USUAL TAKE HOME PAY THAT IS AFTER ALL DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON BUT INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estim
136. Frequencies V ariable s 2 V ariable s a Local authority wen 4 Complete interview d Individual weight ir ind Heset gb whether there is a gt id 4 Random schoolchil L ancel di Data year survey gt Date of interview c E EHE ee meme Help W Display frequency tables W Display frequency tables Statistics Charts Format Statistics Charts Format Variable Labels Variable Names SHS Lite User Guide Version 1 0 Page 15 4 4 Variable Sets 4 4 1 Using Sets Using Sets restricts the variables displayed in dialog boxes to the selected sets that you have chosen Small variable sets make it easier to find and select the variables for your analysis and can also enhance performance A full list of variables grouped together by analysis set can be found within the file named SHS Lite Variable Listing pdf on the accompanying CD Using sets Select Utilities Use Sets from the menu bar or click on the toolbar Select the current sets in use and remove them by clicking L Select the sets that you would like to use and add them by clicking gt Click L9 Figure 9 Selected sets to be removed Figure 10 Selected sets to be added Sets in Use Sets in Use ALLVARIABLES NEWVARIABLES Cancel MIN Cancel Help Help NEIGHBOUR Note Yov will always require the ADMIN set because it contains the weighting variables Note Each time you close the SHS Lite dat
137. GO PROBE FOR MAIN METHOD Walking 1 Driver car van 2 Passenger car van 3 Motorcycle moped 4 Bicycle 5 School bus 6 Works bus 7 Ordinary service bus 8 Taxi minicab 9 Rail 10 Underground 11 Ferry 12 Aeroplane 13 Horse riding 14 Other 15 Not in employment 16 Worked from home 17 Was not working in UK 18 Ask MODEDIFF if MODEYR not equal to RD3 MODEDIFF WHY DID YOU CHANGE FROM MODEYR TO RD3 FOR TRAVELLING TO WORK Changed job 1 Moved home 2 Employer re located 3 Bought a car 4 Sold car 5 Lost licence 6 Public transport service added 7 Public transport service withdrawn 8 Changed working hours 9 Other 10 Ask if LICENCE coded 1 or 2 has full or provisional licence FREDRIV HOW OFTEN DO YOU DRIVE A CAR VAN NOWADAYS FOR PRIVATE PURPOSES INCLUDING TRAVELLING TO WORK BUT IGNORING ANY DRIVING WHICH WAS PART OF YOUR JOB Read out Every day 1 At least three times a week 2 Once or twice a week 3 At least 2 or 3 times a month 4 At least once a month 5 Less than once a month 6 Never 7 Ask if LICENCE 1 has full licence and FREDRIV not equal to 7 CARDEP I M GOING TO READ OUT SOME TYPES OF JOURNEY FOR EACH TYPE OF JOURNEY COULD YOU TELL ME WHICH OF THE PHRASES ON THIS CARD APPLIES TO YOU Go shopping for small amounts of food Go supermarket shopping Go town centre shopping Go for evenings out for leisure purposes Visit friends and rel
138. Household Survey Questionnaire April 2003 to December 2004 Continue if HH31 coded don t know Otherwise go to HH46 HH35 WHAT IS THE USUAL PAY BEFORE ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON AND INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estimate LJ No usual pay 999996 Don t know 999998 Hefused 999997 Continue if amount entered at HH35 Otherwise go to HH39 HH36 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH37 CODE ACCURACY Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 HH38 HOW MANY HOURS A WEEK WORKED FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them o Can say 98 Continue if amount entered at HH39 Otherwise go to HH42 HH39 LAST TIME PAID WHAT WAS TOTAL TAKE HOME PAY THAT IS AFTER ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON BUT INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Write in to nearest Don t know 999998 Refused 999997 Continue if amount entered at HH39 Otherwise go to HH42 HH40 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH41 ABOUT HOW MANY HOURS A WEEK WORKE
139. ID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 Don t know 98 RI65 YOU HAVE SAID THAT YOU ARE NOT SURE HOW MUCH YOU RECEIVED IN ONE OR MORE OF THE BENEFITS ADDING ALL OF THE BENEFITS ON THESE TWO CARDS TOGETHER HOW MUCH DID YOU RECEIVE IN TOTAL LAST TIME YOU RECEIVED YOUR BENEFITS If both respondent and partner receive add two together Enter to nearest DO Don t know 98 Refused 97 RI66 WHAT PERIOD DID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 42 Scottish Household Survey Questionnaire April 2003 to December 2004 Ask all RI67 RI67 DO YOU RECEIVE ANY OTHER REGULAR INCOME OR PAYMENT FROM ANY SOURCES ON THIS CARD Yes 1 No 2 Don t know 3 Refused 4 Ask RI68 if receive any other income coded yes 1 at RI67 otherwise skip to add3 RI68 FROM WHICH OF THESE SOURCES WHICH OTHERS RI68A YO RI68J Code all that apply Occupational employer non state pension s 1 Benefit from annuity trust or covenant 2 Maintenance payments 3 Rent from property or subletting including boarders 4 Dig money from other household members 5 Benefit from accident sickness scheme etc 6 Investment income e g Divid
140. MILE BY FOOT Public transport unreliable 8 Read out both questions below Lack of service 9 Too infrequent 10 GOING SOMEWHERE SUCH AS WORK Health reasons 11 SHOPPING OR FRIENDS ETC Difficult access on off steps 12 Too much to carry awkward 13 None 999992 Uncomfortable 14 Don t know 999998 No need 15 Not able to walk 999988 Prefer to walk 16 Dislike waiting 17 PF Long walk to bus stop 18 Live centrally within walking distance 19 Use buses all the time 20 REQ JUST FOR PLEASURE OF WALKING OR TO one KEEP FIT OR TO WALK THE DOG Respondents who initially reply inconvenient or use my Include jogging and running here own car are asked a follow up question to understand why it is inconvenient or why they use their own car The PF responses to the follow up are stored in same variables as RD8 and the original inconvenient and use my own car None 999992 remain Don t know 999998 Ask RE12MAIN if more than one item coded at RE12 Not able to walk 999988 RE12MAIN WHAT IS YOUR MAIN REASON RE10B HOW OFTEN HAVE YOU USED YOUR LOCAL BUS SERVICE IN THE PAST MONTH IF AT ALL Takes too long 1 E d 1 Inconvenient 2 Very aay 1 No direct route 3 Almost every day 2 Use GwrLear 4 Two or three times per week 3 Nand acar fonat work 5 About once a week 4 Cost 6 n ae oe B Work unsocial unusual hours 7 Not used the local bus service in the previous month 7 deside unreliab
141. N CAUGHT THE TRAIN HOWEVER THERE S NO NEED TO MENTION ANY STAGES OR JOURNEYS WHICH WERE LESS THAN A QUARTER OF A MILE OR LESS THAN FIVE MINUTES ON FOOT SUCH AS A SHORT WALK TO THE BUS STOP Yes 1 No 2 RE16 I D LIKE YOU TO ASK YOU ABOUT THE TRIP YOU MADE YESTERDAY INTERVIEWER PROBE FOR SUFFICIENT DETAILS TO ESTABLISH TYPE OF JOURNEY Single journey with just one stage e g driving straight from home to work 1 Single journey with more than one stage e g taking the bus into town then catching a train to work 2 Series of calls e g a doctor on her rounds a salesman visiting a series of clients shopping trips 3 If RE16 1 ask RE38 if RE16 2 ask RE30 if RE16 3 continue only route one is shown here RE38 WHAT WAS THE PURPOSE OF YOUR JOURNEY PURPOSE Travelling to place of work 1 In the course of your work 2 Educational establishment 3 Shopping 4 Visit to hospital doctor or other health 5 On other personal business 6 Visiting friends or relatives 7 Eating drinking alone or at work 8 Eating drinking other occasions 9 Entertainment other public activities 10 Participating in sport 11 Coming going on holiday 12 For a day trip recreational journey 13 Other journey not coded above 14 Escorting someone home 21 Escorting someone to work 22 Escorting someone in the course of work 23 Escorting someone to an educational establishment 24 Escorting someone to
142. N EO 19 Table 4 4 Comparison of key variables relating to driving and transport sseeesssesseeeeennene 20 Table 4 5 Comparison of ethnicity in Census 2001 and 2003 2004 SHS sessssssesssseeeeeeen nennen nnns 21 Table 4 6 Comparison of all Scottish households all sampled households all eligible households and participating households by urban rural ClaSSinCaulOn ooo c et e een eges ad bod ene ue soe ted E aus ad e bud atu ede ie eco cad a desse Adee 22 Table 4 7 Comparison of 2003 2004 SE urban rural classification of eligible addresses and 2003 2004 participating NOUNS ONC eee EE LITT TEL RC REN REREEN 23 Table 4 8 Comparison of economic activity variables among adults of working age seseeseeeeeeeeeeeee 24 Table 1 1 Design factors and confidence intervals for key variables in 2003 2004 data ccccccsseeceeeeeeeeeaeeeeeseaees 26 Scottish Household Survey Fieldwork outcomes 2003 2004 1 Survey overview Background to the SHS The Scottish Household Survey SHS is a major cross sectional survey that was first commissioned by the Scottish Executive in 1998 to provide reliable and up to date information on the composition characteristics and behaviour of Scottish households both nationally and at a sub national level The specific aims of the survey are as follows e to provide household and individual information previously unavailable in Scotland partic
143. NGA if RE39 2 car van driver CONGA WAS THIS PART OF YOUR TRIP DELAYED DUE TO TRAFFIC CONGESTION Yes 1 No 2 Ask CONGB if CONGA 1 34 Scottish Household Survey Questionnaire April 2003 to December 2004 CONGB HOW MUCH TIME DO YOU THINK WAS LOST DUE TO TRAFFIC CONGESTION Don t know 999998 Refused 999999 Ask CONGC if RE39 8 or 10 bus or train passenger CONGC WAS PART OF YOUR TRIP DELAYED Yes 1 No 2 Ask CONGD and CONGE if CONGC 1 CONGD WHY WAS PART OF YOUR JOURNEY DELAYED Bus train arrived late 1 Bus train did not turn up 2 Bus train broke down 3 Bus train involved in an accident delayed by an accident 4 Bus lane blocked 5 Congestion on the roads 6 Assault on bus train crew 7 Vandals damaged vehicle or track 8 Traffic lights signals not working 9 Other reasons please specify 10 Don t know 11 CONGE HOW MUCH TIME DO YOU THINK WAS LOST BECAUSE OF THIS Don t know 999998 Refused 999999 Ask PAYA if RE39 2 car van driver PAYA DID YOU PAY FOR PARKING AT THE END OF THE JOURNEY Yes 1 No 2 Ask PAYB if PAYA 1 PAYB WHERE DO YOU PARK YOUR VEHICLE In a commercial car park 1 On the street in a space you pay for 3 Paid for in a car park provided by employer school college university 4 Residential parking permit 8 Other Write in 9 Ask PAYC and PAYD if PAYB is not 8 PAYC HOW MUCH DID YOU PAY IN PENCE Don t kn
144. NOT LIVING WITH YOU Exclude any help provided in the course of employment Yes 1 No 2 Ask those who do help care RG16 coded yes 1 at RG15 Otherwise skip to RG19 RG16 WHO IS IT THAT YOU PROVIDE REGULAR HELP OR CARE FOR Code first two mentioned CODE RELATIONSHIP TO RESPONDENT Grid 1st dependent 1 2nd dependent 2 Relationship Parent parent in law 1 Other relative 2 Friend or neighbour 3 Client of voluntary organisation 4 Other 5 No 2nd dependent 6 RG17 IN TOTAL HOW MANY HOURS DO YOU SPEND EACH WEEK PROVIDING HELP OR CARE FOR HIM HER THEM Include care both inside and outside household 1 4 hours per week 1 5 19 hours per week 2 20 or more hours per week 3 Continuous care 4 Varies 5 Don t know 6 RG18 DOES LOOKING AFTER OR CARING FOR THIS PERSON THESE PEOPLE PREVENT YOU FROM DOING PAID WORK OR AS MUCH PAID WORK AS YOU MIGHT OTHERWISE DO Yes 1 No 2 Ask all RG19 37 Scottish Household Survey Questionnaire April 2003 to December 2004 RG19 DO YOU SMOKE CIGARETTES NOWADAYS Yes 1 No 2 Ask smokers those coded yes 1 at RG19 Otherwise skip to RH1 RG20 ABOUT HOW MANY CIGARETTES A DAY DO YOU USUALLY SMOKE Don t know 1 Refused 2 RH RANDOM ADULT EMPLOYMENT Random adult employment These questions are only asked if the random adult is not the same person as the HIH about whom the information has already been collected Ask a
145. No valid ran 2000 data 05 01 00 1 00 2000 00 Fife Other urba Othe 1000100010 1 13 Complete r 1 15 No valid ran 2000 data 05 01 00 1 00 2000 00 Fife Other urba Othe 1000100011 1 00 Complete r 1 20 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100012 1 00 Complete r 60 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeen C Large urba Larg 413 1000100013 1 00 Complete r 1 20 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100014 1 00 Complete r 60 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100015 1 00 Complete r 1 80 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeen C Large urba Larg 1000100016 90 Complete r 1 10 No valid ran 2000 data 06 01 00 1 00 2000 00 Falkirk Other urba Othe 1000100017 1 03 Complete rl 1 12 No valid ran 2000 data 06 01 00 1 00 2000 00 South Ayrs Accessible Acce 48 1000100018 1 18 Complete r 67 No valid ran 2000 data 06 01 00 1 00 2000 00 Perth and K Accessible Acce 19 1000100019 1 04 Complete r 53 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeensh Accessible Acce 1000100020 1 04 Complete r 2 11 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeensh Accessible Acce 1000100021 1 04 Complete r 1 59 No valid ran 2000 data 06 01 00 1 00 2000 00 Aberdeensh Accessible Acce 10001000
146. O THE NEAREST BUS STOP OR PLACE WHERE I COULD GET ON A BUS I AM INTERESTED IN THE NEAREST ONE EVEN IF IT ISN T THE MAIN ONE YOU USE Interviewer if respondent gives a range e g 25 30 minutes then code lower group 3 minutes or less 1 4 6 minutes 2 7 13 minutes 3 14 26 minutes 4 27 43 minutes 5 44 minutes or longer 6 No bus service 7 Don t know 8 Only ask HD22 if coded 1 6 in HD21 If coded 7 or 8 skip to HE1 HD22 HOW OFTEN WOULD I BE ABLE TO GET A BUS FROM THAT BUS STOP DURING THE DAY If varies take week day off peak frequency Write in amount and code time period HD22M if coded as every X minutes HD22H if coded as every X hours HD22D if coded every X days One every Minutes 1 Hours 2 Days 3 Don t know 4 Ask HE1 if people under 18 in household see HAS If no young people skip to HF1 HE YOUNG PEOPLE IN THE HOUSEHOLD I D LIKE TO ASK SOME QUESTIONS NOW ABOUT THE YOUNG PEOPLE IN YOUR HOUSEHOLD HE1 CAN I JUST CHECK WHICH IF ANY OF THE YOUNG PEOPLE IN THIS HOUSEHOLD AGED 18 OR UNDER ARE YOU OR YOUR PARTNER RESPONSIBLE FOR HE1 1 HE1 10 Person c1 1 Person c2 2 Person c3 3 Person c4 4 Person c5 5 Person c6 6 Person c7 7 Person c8 8 Person c9 9 Person c10 10 None 11 Ask HE2 for each child aged under 16 years HE2 WHICH OF THESE CHILDCARE ARRANGEMENTS IF ANY DO YOU USE FOR NAME HE2 1A HE2 101 A
147. OR Net figure given 1 Gross figure given 2 HH48 HOW MANY HOURS A WEEK WORKED FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them NENNEN Can say 98 Continue if code of no usual pay at HH46 Otherwise go to HH52 HH49 LAST TIME PAID WHAT WAS TOTAL TAKE HOME PAY AFTER ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE AND SO ON Write in to the nearest Don t know 999998 Refused 999997 Continue if amount entered at HH49 Otherwise go to HH52 HH50 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH51 HOW MANY HOURS A WEEK WORKED FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them Ooo Can t say 98 Continue if do more than 1 job coded 2 at HH28 Otherwise go to HH56 HH52 THINKING NOW ABOUT ANY OTHER JOBS IN TOTAL WHAT IS USUAL PAY AFTER ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE AND SO ON FOR THESE OTHER JOBS Write in to nearest Don t know 999998 Refused 999997 Continue if amount entered at HH52 Otherwise go to HH54 HH53 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 Continue if coded don t know at HH52
148. OVIDE HELP HF5 1 1 HF5 10 10 WHICH HAS A SUBSTANTIAL AND LONG TERM OR CARE FOR THEM HFS_1_ NO ADVERSE EFFECT ON THEIR ABILITY TO CARRY Person 1 1 OUT NORMAL DAY TO DAY ACTIVITIES Person 2 2 HF1_1 HF1_10 Person 3 3 Disabilit Long term Both Neither Refused Person 4j 4 y AUR Person 5 5 Person 1 1 2 3 4 5 IFerson ar 6 Person2 1 2 3 4 5 Person 7 7 Person 3 1 2 3 4 5 Person 8r 8 Person 4 1 2 3 4 5 Person 9 9 Person5 1 2 3 4 5 p TOF 10 Person 6 1 2 3 4 5 Person s outside the household provides help or care 1 Person 7 1 2 3 4 5 No care is provided for household member 1 Person 8j 1 2 3 4 5 HF6 IN TOTAL HOW MANY HOURS HELP OR CARE Person 9j 1 2 3 4 5 DO HOUSEHOLD MEMBERS PROVIDE PER Person 10 1 2 3 4 5 WEEK Ask HF2 for each household member with a long standing 1 4 hours per week 1 illness or disability 5 19 hours per week 2 20 hours or more per week 3 Continuous care 4 Varies 5 Don t know 6 12 Scottish Household Survey Questionnaire April 2003 to December 2004 HF7 AND WHO OTHER THAN MEMBERS OF YOUR HG5 DID YOU HAVE A JOB OR BUSINESS THAT YOU HOUSEHOLD PROVIDE REGULAR HELP OR WERE AWAY FROM CARE FOR PERSON This could be that you were on holiday CODE ALL THAT APPLY Yes 1 Relative 1 No 2 Friend or neighbour 2 Home Help 3 HG6 DID YOU DO ANY UNPAID WO
149. Ordinary service bus Taxi minicab Rail Underground Ferry Aeroplane Other Total Missing System Total SPS55 Processor is ready Page 58 SHS Lite User Guide Version 1 0 8 6 2 Crosstab Example In this example we are going to split the data file by sex of random adult randsex We will then create a crosstab table showing how the random adult usually travels to work education rd3 by banded age of random adult agerband The output will be grouped by sex of random adult e Select Data Split File from the menu bar or click the Split File button EI on the toolbar Reset e Click if necessary to clear existing variables e Select the Compare groups option e Select the randsex variable and click gt see Figure 52 cio MN Note The data file is now grouped by sex of random adult randsex Figure 52 File split by Sex of random adult randsex il Split File dq hihagebd Analyze all cases do not create groups gb hihage f Compare groups 4b hihsex t Organize output by groups ab hih stat Groups Based on 4 eth_hih x 4 hihecon 4 agerband gt randage 4 randecon 4 randeth fe Sort the file by grouping variables 4 snaaebd File ig already sorted Current Statue Analysis by groups is off We are now going to create the crosstab table e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or cli
150. Other choices taxis underground train Origna Randomadut jind wt X Juy1999 re12x 1999 2000 Transprt RE12Do use use as often as need to TT Origna Random adult find wt X Juy1999 rel2y 1999 2000 Transpt jJREl12Smokingpolicy Original Random adult find wt Juy1999 O RE12 Dirty filthy Original Random adult ind wt July 1999 ee Whether in employment or self employment one year ago April 2003 p
151. P n EE 13 3 4 Questionnaire structure length and content nennen nnne nnne nn nnn nn nnne nnne nasa sana sns nan 14 4 Limitations OF th data MERE UE m m m m TEN 17 Quarterly data for Scotland as a Whole reir reve e putt rd pe nexis apto a eoa epa rue dope ka pb vod e te vue FEY pe aged EUE XM FEE YR ODER ETE EDIT 19 Examples of charts and tables showing quarterly fiIQUIeS cccceccceceeeeeeeeeeeeeeeeeeeeeeeeaeeeeeeeeeeeeeeeeeeeeeaeeaeeeesseaeeeessneeessaaeeeees 20 Appendix T Scottish MOSAIC odes ooo ode sieta e ud oce nt A6 oge Deo ese etu L eiae Meo ua neon eee UD ee sv oe 23 List of Tables Table 2 1 Projected two year achieved sample size by local authority cece ccccceecce sees eeseeeeeeeeseeeseeesseeeeaeeeseeees 10 Table 2 2 Procedure for allocating PSUs by month of fieldwork sesseesssseeeeseseeeneeeen nemen 12 Table A Descriptors of MOSAIC Areas ui ibdulaotadcute codo ceria uate dame Sania be adio Sete idi Paseo on bded ate d asus c tuus Appendix 1 Scottish Household Survey Methodology 2003 2004 1 Survey overview Background to the SHS The Scottish Household Survey SHS is a major cross sectional survey that was first commissioned by the Scottish Executive in 1998 to provide reliable and up to date information on the composition characteristics and behaviour of Scottish households both nationally and at a sub national level The specific aims of the survey are as follows e to
152. Q3 Q4 Q1 Q2 Q3 Q4 Aberdeen City 1 02 1 10 1 20 1 10 1 13 1 19 1 30 0 97 Aberdeenshire 0 96 1 12 0 92 1 08 1 14 1 13 0 92 1 06 Angus 0 89 1 02 1 09 1 23 0 85 1 35 1 03 1 11 Argyll and Bute 1 12 0 86 0 98 1 06 0 88 1 12 0 84 1 19 Clackmannanshire 0 57 0 52 0 64 0 43 0 49 0 52 0 39 0 55 Dumfries and Galloway 0 97 1 07 1 07 1 01 0 91 1 41 1 26 1 21 Dundee City 1 20 1 02 0 91 1 17 0 97 1 07 1 14 1 47 East Ayrshire 1 02 1 11 1 03 1 29 0 92 0 85 1 05 1 03 East Dumbartonshire 1 29 0 90 1 23 1 34 1 11 0 97 1 13 0 89 East Lothian 1 01 1 29 0 96 0 80 1 24 0 75 1 18 0 82 East Renfrewshire 0 76 0 89 0 87 0 61 0 69 1 04 0 85 1 16 Edinburgh City 1 26 1 13 1 16 1 16 1 21 0 94 1 19 1 20 Eilean Siar 0 28 0 26 0 48 0 18 0 32 0 38 0 30 0 34 Falkirk 1 24 1 34 0 99 1 02 1 01 0 98 0 93 1 05 Fife 1 06 1 15 0 85 1 06 0 91 1 11 0 97 1 04 Glasgow City 1 11 1 09 1 28 1 29 1 22 1 17 1 16 1 10 Highland 1 06 1 09 1 03 1 17 0 94 1 20 1 11 1 04 Inverclyde 1 02 0 92 1 02 1 15 1 38 0 98 0 82 0 70 Midlothian 0 81 0 82 0 72 0 88 0 84 0 85 0 86 0 73 Moray 0 73 0 65 0 96 0 98 0 77 0 82 0 78 1 00 North Ayrshire 1 07 1 03 1 26 1 23 1 35 0 81 1 20 1 09 North Lanarkshire 1 05 0 99 1 21 0 96 1 21 1 01 1 11 0 98 Orkney 0 19 0 20 0 14 0 18 0 19 0 21 0 16 0 17 Perth and Kinross 1 13 1 13 1 26 1 18 1 11 1 29 1 40 1 14 Renfrewshire 1 10 1 25 1 03 0 98 1 15 1 24 1 00 0 95 Scottish Borders 1 03 1 13 0 86 0 97 0 81 1 07 1 32 0 89 Shetland 0 20 0 21 0 17 0 24 0 17 0 21 0 17 0 22 South Ayrshire 1 10 1
153. RK IN THAT WEEK Somebody from a voluntary organisation 4 FOR ANY dec THAT YOU OWN OR THAT A Social Work Department 5 RELATIVE OWNS District Nurse 6 Yes own business 1 Health Visitor 7 Yes relative s business 2 Other 8 Neither 3 HF8 IN TOTAL HOW MANY HOURS HELP OR CARE HG7 THINKING OF THE 4 WEEKS PRIOR TO LAST DO NON HOUSEHOLD MEMBERS PROVIDE PER SUNDAY WERE YOU LOOKING FOR ANY KIND WEEK OF PAID WORK OR GOVERNMENT TRAINING 1 4 hours per week 1 SCHEME AT ANY TIME IN THOSE 4 WEEKS 5 19 hours per week 2 Yes 1 20 or more hours per week 3 No 2 Continuous care 4 Varies 5 Continue if HG7 is coded 2 If HG7 is coded 1 go to HG13 Don t know 6 HG7B WERE YOU WAITING TO TAKE UP A JOB THAT YOU HAVE ALREADY OBTAINED HG EMPLOYMENT OF HIGHEST INCOME Yes 1 HOUSEHOLDER No 2 Continue if HG7B is coded 2 If HG7B is coded 1 go to HG14 The questions in this section are written as though they are asked of the Highest Income Householder but in the interview HG8 EVEN THOUGH YOU WERE NOT LOOKING FOR they could have been asked of another householder about the WORK IN THE 4 WEEKS PRIOR TO LAST HIH In these cases text substitutions reword the questions to SUNDAY WOULD YOU LIKE TO HAVE A refer to the HIH REGULAR PAID JOB AT THE MOMENT EITHER FULL TIME OR PART TIME HG1 CAN I JUST CHECK DID YOU DO ANY PAID WORK IN THE SEVEN DAYS PRIOR TO LAST Yes 1 SUNDAY EITHER AS AN EMPLOYEE OR AS No 2 SEEM dey ae HG
154. Require regular care or help 11 5 11 1 11 9 0 18 0 20 1 09 Reporting long standing illness 33 7 33 1 34 3 0 27 0 31 1 15 disability or health problem HIH Highest income householder 26 SCOTTISH EXECUTIVE STATISTICAL SERVICES Our aim The aim of the Statistical Service is to provide relevant and reliable statistical information analysis and advice that meet the needs of government business and the people of Scotland OBJECTIVES 1 To produce statistics and analysis relevant to user needs by e Developing the range of statistics and analysis we produce e Where practicable improving timeliness e Providing more statistics disaggregated by age gender and ethnicity e Developing more data for small areas through the Neighbourhood Statistics project e Contributing to production of comparable statistics across the UK and internationally 2 To ensure effective use of our statistics by e Contributing more directly to policy processes inside and where possible outside government e Improving access to and presentation of data and analysis e Improving the advice provided on statistics 3 To work effectively with users and providers by e Maintaining arrangements to consult and involve users and providers e Involving users and providers in planning developments in outputs and processes 4 To develop the quality of statistics by e Assuring and improving quality as an integral part of data collection and analysis and through regular
155. SHS Lite User Guide A guide to using the Scottish Household Survey simplified dataset Scottish Household d ecc E Table of Contents INTRODUCTION aro cosccecacess cee tccsecscevessaseccusasevesecagascecuevawsesceatecesuacucassceaestecbosavceceacuestuaeesctanesssbesuccaveeseueoseesbos 1 2 WHEXESIN THE DONX rinia EENAA RERS 3 2 1 ws e LTE OAT ET e A 3 2 2 Be ONENI NON MTU 4 224A Short SHS Questionnaire DOE uenin uide tera insine aeaiee EEEa a AE M aT Maru Uca edd 4 222 SHS Lite Variable Listing DUE ciitecaccsseccunsocevtbaccuan cnr cstacsduencoepalartbucaiesdaneaddeebeconsicaaiebaribanddasdevadteotess 4 2 2 3 Other SHS GOCUMENUS PTRER 4 23 VARIABLE DATADAS E enuie 5 2A LIMITATIONS OF THE DATA sacace sco vcctceesecctaccssceserndenoanaesdeicsne OAA ANE OANE EEANN aa 5 3 READING THE DATA cesvccssccsiccesaevaceseccsaceceiacacessscteccssdedecusaisaadecesedacesbeccsusedeceusisaadecuseiucesbasicacasaetsssecsseietecess 7 3 1 OPENING SHS D DIEN SOROR ririn in COKEL AEE EEEE ENEE EEA EEEE EEEE EEE NA A 7 32 VIEWING THE DATA SET oir irata epos e uie da dewsdaienteassasandeadavnaCoadaie Rowstaeabeaasadnadeekawnataawalsetboesbins 7 32l Switching Between Views Tm n 8 kaa Sra Vae Noo CN mm m 8 3 2 3 Py em E MNRMECNCCKKKIE E P 8 3 2 4 NDIE cR 10 3 3 BAXTINGEEHE IO NPASET a I Soe ee er
156. ST TIME YOU WERE PAID WHAT WAS YOUR TOTAL TAKE HOME PAY THAT IS AFTER ALL DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON BUT INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estimate Don t know 999998 Hefused 999997 RI10 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI11 CODE ACCURACY Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 RI12 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them Can t say 98 40 Scottish Household Survey Questionnaire April 2003 to December 2004 HI13 LAST TIME YOU WERE PAID WHAT WAS YOUR PAY BEFORE ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Write in to nearest NENNEN Don t know 999998 Hefused 999997 RI14 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI15 CODE ACCURACY Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 RI16 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for
157. So pO pO ect pO PO fs pp iG GNE Pe Oooo Oooo Oooo 5 ae pap NN NEZ CHEER insure Insurance cover Derived Household fla wt X JFebruary1999 1 1999 2000 Household resources How the household is managing financially these days Original Household la wt February1999 incband 1999 2000 Household resources Banded net annual income with under 6000 spit Derived Household la wt February1999 incsum 1999 2000 Household resources Summary of Total income Derived Household la wt X February 1999 internet 2001 2002 Household resources Householdhasaccessto internet Derived Household la wt X anuary2001 rc5 2001 2002 Household resources Timespentusingintermet each week Original Random adult ind wt X januay2001 rc6a 2001 2002 Household resources Accesses internet using a personal computer Original Random adult ind wt X january2001 rc6b 2001 2002 Household resources__ Accesses internet using a laptop computer Original Random adult ind wt X January 2001 rc6c 2001 2002 Household resources Accesses internet using a WAP mobile phone Original Random adult ind wt X january2001 rc6d 2001 2002 Household resources Accesses internet using a atelevision Original Random adult find_wt_ X january2001 rc6e 2001 2002 Household resources___ Accesses internet using a games console Original Random adult ind wt X Ja
158. St Andrew s House Edinburgh EHI 3DG Produced for the Scottish Executive by Astron B42231 07 05 Published by the Scottish Executive July 2005 Further copies are available from Blackwell s Bookshop 53 South Bridge Edinburgh EHI 1YS The text pages of this document are printed on recycled paper and are 100 recyclable Scottish Household Survey Fieldwork outcomes 2003 2004 Contents 1 pln delia VIC W eme D RUP 1 Background to The SHS saree PU P 1 2 Fieldwork targets and outcomes s ssssssssnssnnnsnnnunnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn nnmnnn nnmnnn 3 e Injel mer mencie c D A 3 PIGIEWOPK DEN OMA CC c ETE TTL D ILLE 6 3 WY ipo pido o B M 11 Design WaN Un e t rH evade E 11 No additional cerrecuve Welgblliri ids vedete eget EIEE ee etu d Mete DR oe ee os anc AA E oq eum Haan eR MM 15 4 I Ata CLAD sesia UIN 17 5 Survey design factors and complex standard errors cccccsseeeeeeeeeeeeeeeeneeseeseeseeneeseeeeseeneesanes 25 Scottish Household Survey Fieldwork outcomes 2003 2004 List of Tables Table 2 1 Mosaic profile of sampled addresses and all Scottish households ccc ccc eeccceeeeeeeeeeeceeeteneeaeeeceneeeeeenes 4 Table 2 2 Deadwood rate assumptions and actual deadwood cccceccseeceeecececeeeseeteeeseecaueceeeeaeeeeetseeseeseeeeeeee
159. UR HOME WITH NO ALTERNATIVE ACCOMMODATION TO GO TO Yes 1 No 2 If RAY is yes continue Otherwise go to RA10n RA9B HOW MANY TIMES HAVE YOU BEEN HOMELESS IN THE PAST TWO YEARS IF AT ALL Once 1 Twice 2 Three times 3 Four times 4 Five times or more 5 Don t know 6 None 7 RA10N YOU SAY YOU HAVE NEVER ACTUALLY BEEN HOMELESS I D LIKE TO ASK YOU A MORE SPECIFIC QUESTION ABOUT DIFFERENT EXPERIENCES SOME PEOPLE HAVE HAD REGARDING HOUSING WHICH OF THESE HAS APPLIED TO YOU IN THE PAST TWO YEARS IF ANY JUST READ OUT THE LETTERS THAT APPLY A I have had to apply to the Council for housing because I was going to be asked told to leave my home i e threatened with homelessness 1 B have had to apply to the Council for housing because didn t have anywhere to live i e actually homeless 2 C have had to sleep rough 3 D have had to stay with friends or relatives because didn t have anywhere else to live 4 E I have had to stay in emergency or temporary accommodation e g hostel refuge B amp B 5 F have had to stay in some other form of insecure accommodation e g under threat of eviction with no legal rights etc 6 None of these 7 Ask RA11NA for each of RA10C to F coded RA11 YOU MENTIONED THAT YOU HAD TO ITEMRA10N FOR HOW LONG DID YOU ITEMRA10N IN TOTAL OVER THE TWO YEARS Less than two weeks 1 Over two weeks up to a month 2 Over a month up to t
160. User Guide Version 1 0 agerbnd2 will be displayed as the last variable in the list You can press CTRL V Page 63 We are now going to assign Value Labels for the agerbnd2 variable A Value Label is simply descriptive text to help you identify the value Select the Variable View tab L X Data view Variable View f e Scroll down to the agerbnd2 variable As mentioned on the previous page agerbnd2 will be displayed as the last variable in the list You can press CTRL Y on the keyboard to navigate to it e Select the values cell for the agerbnd2 variable e Click to open the Value Labels dialog box e Enter the Value e Enter the Value Label 6 to 30 see Figure 59 Note You can type anything you like as a Value Label For example we could have Note used 16 30 for the label discussed above Figure 59 First Value Label to be added Value Labels E 1 Value Labels 0 Value 1 Sm Value Label 1 b to 30 pe gem e Click e Repeat these steps to add the remaining values see Figure 60 Value 2 Label 3 to 65 Value 3 Label 66 to 100 e Click Page 64 SHS Lite User Guide Version 1 0 Note Figure 60 All 3 Value Labels added Value Labels Value Labels TB ta 30 ST ta B5 BB ta 100 Section 3 2 2 on page 8 SHS Lite User Guide Version 1 0 DK Cancel Help You can now view the Value Labels for the agerbnd2 variable in Data View see Page 65 8 7 2
161. VER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH15 INTERVIEWER PROBE IS THAT EXACT OR AN ESTIMATE Interviewer observe did respondent consult pay slip Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 HH16 HOW MANY HOURS A WEEK USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them P Can t say 98 Ask for self employed coded 2 at HG22 Otherwise got to HH22 HH17 ABOUT HOW MUCH AFTER TAX AND OTHER DEDUCTIONS TAKE OUT OF THE BUSINESS FOR USE Write in to nearest Accept gross if net not possible No usual pay 999996 Don t know 999998 Refused 999997 Continue if amount entered at HH17 Otherwise go to HH20 HH18 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH19 CODE FOR Net figure given 1 Gross figure given 2 Continue if HH17 coded no usual pay Otherwise go to HH22 HH20 CAN YOU GIVE ME AN ESTIMATE OF HOW MUCH YOU RECEIVED IN THE LAST YEAR INCLUDE SELF EMPLOYMENT AND INCOME FROM ANY OTHER EMPLOYMENT IN THE LAST YEAR Write in to nearest LL No usual pay 999996 Don t know 999998 Refused 999997 16 Scottish Household Survey Questionnaire April 2003 to December 2004 Conti
162. _wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recall button if you have previously used Crosstabs e Click if necessary to clear existing variables e Select rd3new and click gt to add it as a row variable see Figure 77 e Select agerband and click gt to add it as a column variable Figure 77 rd3new and agerband added as row and column variables Il Crosstabs d lic sus ots a 4 licence al G rd3nem aste 4 numcars ezel s numveh Columns ass cn Hn 4 agerband Lancel 4 passnane EI Help 4 passrail Layer 1 of 1 4 fiter_ 4 lanew Previous en q tegt 4 agerbnd2 al Display clustered bar charts Suppress tables Statistics Cells Format For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so we will use only column percentages e Select to display the Cells dialog box see Figure 78 e Select the column percentages option Conti e Select to return to the Crosstabs dialog box SHS Lite User Guide Version 1 0 Page 75 e Select The Viewer window now opens to display the Crosstab table see Figure 79 Figure 78 Cell Display dialog box Crosstabs Cell Display Counts Iv Observed Expected Continue Cancel Help Percentages Residuals Unstandardized Iv iColuror Standardized Soran ES Total Adj
163. abs Cell Display Counts Continue Iv Observed Expected Cancel Help Percentages Residuals Unstandardized Standardized Total Adj standardized Column Percentages option Page 80 SHS Lite User Guide Version 1 0 Figure 85 How random adult usually travels to work education by Banded age of random adult by Sex i Output3 SPSS Viewer Sele File Edit View Insert Format Analyze Graphs Utilities Window Help oF S al Ble Xe Glo 15 4 How random adult usually travels to work New banded age of random adult Sex of random adult Crosstabulation eee ee ee Sex of random adult Total How random adult Walking Count 404 443 T od se Count 1062 3738 51 4851 TY Count B 58 BB4 T 1529 ue Count 2124 545 65 T234 96 within New banded age of random adult 100 0 100 0 100 0 100 0 Female How random adult Walking Count 474 075 11 1410 Usually travels to 986 within Mew banded work age of random adult 21 8 17 5 25 6 18 8 ai 13 Count 55 within New banded age of random adult 14 556 63 5 30 2 57 896 Count faa 1009 14 1761 96 within New banded age of randam adult 33 796 19 0 44 296 23 498 Count 2177 5288 43 7515 96 within Mew banded age of random adult 100 0 100 0 100 0 100 0 7 SP55 Processor is ready 33B4 4347 There are three comments that can be made about this table e When split by sex the number of people in each of the age groups 66 100 yea
164. alk 16 it is inconvenient or why they use their own car The Dislike waiting 17 responses to the follow up are stored in same variables as Long walk to bus stop 18 RD8 and the original inconvenient and use my own car Live centrally within walking distance 19 ean Other please specify If more than one coded at RD9 Respondents who initially reply inconvenient or use my own car are asked a follow up question to understand why it is inconvenient or why they use their own car The responses to the follow up are stored in same variables as RD8 and the original inconvenient and use my own car remain Ask RD8MAIN if more than one coded at RD8 29 Scottish Household Survey Questionnaire April 2003 to December 2004 RD9MAIN AND WHAT IS YOUR MAIN REASON Takes too long 1 Inconvenient 2 No direct route 3 Use my own car 4 Need a car for at work 5 Cost 6 Work unsocial unusual hours 7 Public transport unreliable 8 Lack of service 9 Too infrequent 10 Health reasons 11 Difficult access on off steps 12 Too much to carry awkward 13 Uncomfortable 14 No need 15 Prefer to walk 16 Dislike waiting 17 Long walk to bus stop 18 Live centrally within walking distance 19 Other please specify WORKYR WERE YOU IN EMPOYMENT OR SELF EMPLOYMENT ONE YEAR AGO Yes 1 No 2 If WORKYR 2 go to Ask if just before FREDRIV MODEYR HOW DID YOU USUALLY TRAVEL TO WORK ONE YEAR A
165. analysis and advice that meet the needs of government business and the people of Scotland OBJECTIVES 1 To produce statistics and analysis relevant to user needs by e Developing the range of statistics and analysis we produce e Where practicable improving timeliness e Providing more statistics disaggregated by age gender and ethnicity e Developing more data for small areas through the Neighbourhood Statistics project e Contributing to production of comparable statistics across the UK and internationally 2 To ensure effective use of our statistics by e Contributing more directly to policy processes inside and where possible outside government e Improving access to and presentation of data and analysis e Improving the advice provided on statistics 3 To work effectively with users and providers by e Maintaining arrangements to consult and involve users and providers e Involving users and providers in planning developments in outputs and processes 4 To develop the quality of statistics by e Assuring and improving quality as an integral part of data collection and analysis and through regular reviews in line with National Statistics quality strategy e Developing statistical methods systems and classifications e Working with the rest of the Government Statistical Service to develop joint approaches solutions where appropriate To assure the integrity of statistics by e Maintaining and promoting integrity through implemen
166. and the Islands and each quarter should produce nationally representative results e results as reliable as those of a simple random sample of 500 should be available for the larger local authorities on an annual basis and for all local authorities regardless of size after 2 years e the sample should be capable of producing data representative both of Scottish households and the adult aged 16 population resident in private households With the sample designed to meet these objectives these represent the key performance criteria for the survey The survey s administration procedures are designed to minimise the impact of problems such as potential respondents not being at home or being unable to take part because of communication difficulties Interviewers are required for example to make a minimum of 6 calls at each address on different days and at different times before it is considered no contact Even then addresses will be reissued at a later stage in the fieldwork Similarly soft refusals such as too busy or going out are reissued Where interviewers are unable to conduct interviews in English or because the respondent is blind or partially sighted these addresses will be revisited by an interviewer accompanied by an interpreter and if appropriate with showcards printed in a range of languages to minimise the extent to which language and communication barriers prevent people from taking part Nevert
167. ars by Housing Tenure by Property Type Crosstab i Output SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help laa wx l t Aj Property type Detached house Semi detached house Terraced house Number of cars household has access to Number of cars household has access to Number of cars household has access to Number of cars household has access to Housing tenure Property type Crosstabulation Three or more One Two Three or more Count 96 within Housing tenure Count within Housing tenure Count within Housing tenure Count within Housing tenure Count within Housing tenure Count within Housing tenure Count within Housing tenure Count within Housing tenure Count 96 within Housing tenure Count within Housing tenure Count 96 within Housing tenure Count 96 within Housing tenure Count within Housing tenure Count KV abl ium d dba rmi m om tannya Housing tenure a secon PERS help of loan mortga Rent HA Rent private qe Rent LASH Co op landlord 175 81 6 27 3 147 47 396 42 996 56 596 2 5 5 2 4 0 1305 1275 6 52 0 36 7 t 834 1750 2 33 296 50 496 6 8 14 3 28 8 198 385 0 7 9 11 1 2 7 0 4 2 2512 3471 14 260 100 0 100 0 100 0 100 0 100 0 353 2065 555 9 20 1 7 6 43 5 43 4 20 1 4 3 0 0 1 0 3 7 QI e gt e en en sm m os 4 396 5 9 8 i 1 7 100 0 100 0 100 0 100 0 100 0 27 0 1
168. aset the variable sets will return to ALLVARIABLES and NEWVARIABLES To select consecutive sets click the first set press and hold down the Shift key on Note the keyboard and then click the last item To select non consecutive sets click the first set press and hold down the Ctrl key on the keyboard and then click each additional set Page 16 SHS Lite User Guide Version 1 0 4 4 2 Defining Sets It is possible to create further subsets of variables This can be very useful when analysing because you will only see the variables contained in currently selected sets within dialog boxes such as frequencies Set names can be up to 12 characters long and can include spaces Any combination of numeric and string variables can be included in a set and any variable can belong to multiple sets Defining variable sets e Select Utilities Define Sets from the menu bar e Select the variables you would like to add and click gt e Type a name for the new set and click puis Click Figure 11 Selected variables to be added to the new set Define Variable Sets Set Name DEMOG INVOLVE ECON HEALTH v Variables in Set rand ak iid wut kid ak kid wot dyear dateint month Note fhe button will only become available once you have typed a name for the new set SHS Lite User Guide Version 1 0 Page 17 4 Variable Recoding You can recode variables into new variables This will make it pos
169. ate Write in to nearest No usual pay 999996 Don t know 999998 Refused 999997 Rl2 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI3 INTERVIEWER PROBE IS THAT EXACT OR AN ESTIMATE Interviewer observe did respondent consult pay slip Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 RI4 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Take average if varies Note only include hours on call if paid for them at 1 3 or more of normal hourly rate Can t say 98 RI5 WHAT IS YOUR USUAL PAY BEFORE ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON AND INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estimate Write in to nearest Don t know 999998 Hefused 999997 RI6 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI7 CODE ACCURACY Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 RI8 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Take average if varies Note only include hours on call if paid for them at 1 3 or more of normal hourly rate Can t say 98 HI9 LA
170. ate to it Note e Select the values cell for the rd3new vanable e Click LI to open the Value Labels dialog box see Figure 67 e Enter the Value e Enter the Value Label Walking Figure 67 First Value Label to be added Value Labels Value Labels Value 1 Value Label walking a a cd e Repeat these steps to add the remaining values see Figure 68 Value 2 Value Label Car Value 5 Value Label Other SHS Lite User Guide Version 1 0 Page 69 e Click Figure 68 All 3 Value Labels added Value Labels Value Labels roue Cancel Value Label OF Help 1 00 walking 2 00 Car 3 00 Other N You can now view the Value Labels for the rd3new variable in Data View see e Note Section 3 2 2 on page 8 Collapsing categories like this is one way of trying to get around the problem when a small number of cases in each cell makes it difficult to detect significant differences Note Page 70 SHS Lite User Guide Version 1 0 8 7 3 Recoding la into lanew In this example we are going to recode the a variable so that we can compare Clackmannanshire with the rest of Scotland To find out what the current values are for the la variable see Section 8 5 on page 53 e Select Transform Recode Into Different Variables from the menu bar At this stage you can display the current values of the a variable by right Note clicking the variable and selecting Variable In
171. atives Go to see GP Go to the library Response options Never make that type of journey 1 Always use a car 2 Sometimes use a car sometimes use another means of transport e g walk or bus 3 Never use a car always use another means of transport e g walk or bus 4 For each coded 2 at CARDEP ask MODECHNG MODECHNG HOW EASY OR DIFFICULT WOULD IT BE FOR YOU TO WITHOUT A CAR Go shopping for small amounts of food Go supermarket shopping Go town centre shopping Go for evenings out for leisure purposes Visit friends and relatives Go to see GP Go to the library Response options Very easy 1 Fairly easy 2 Neither easy nor difficult 3 Fairly difficult 4 Very difficult 5 Don t know 6 Ask all RE6 RE6 ON HOW MANY OUT OF THE LAST SEVEN DAYS DID YOU MAKE A TRIP OF MORE THAN A QUARTER OF A MILE BY BICYCLE Read out both questions below GOING SOMEWHERE SUCH AS WORK SHOPPING OR FRIENDS ETC None 999992 Don t know 999998 30 Scottish Household Survey Questionnaire April 2003 to December 2004 RE7 JUST FOR THE PLEASURE OF CYCLING OR TO RE12 IN GENERAL WHAT DISCOURAGES YOU FROM KEEP FIT USING BUSES MORE OFTEN THAN YOU DO RE12A RE12AE Inconvenient 2 None 999992 No direct route 3 Don t know 999998 Use own car 4 Need a car for at work 5 RE8 ON HOW MANY OUT OF THE LAST SEVEN DAYS Cost 6 DID YOU MAKE A TRIP OF MORE THAN A Work unsocial unusual hours 7 QUARTER OF A
172. ay be affected by sampling errors apparent differences of a few percentage points between sub samples may not reflect real differences in the population It might be that the true values in the population are similar but the random selection of households for the survey has by chance produced a sample which gives a high estimate for one sub sample and a low estimate for the other A difference between two areas 1s significant if 1t 1s so large that a difference of that size or greater is unlikely to have occurred purely by chance Conventionally significance is tested at the 5 level which means that a difference is considered significant if it would only have occurred once in 20 different samples Testing significance involves comparing the difference between the two samples with the 9596 confidence limits for each of the two estimates If you were to scroll down in the output page for this example you would be able to see that the survey estimates that there are 8 single adult households in East Dunbartonshire 2 3 9 in Midlothian 2 596 1396 in the Highlands 32 096 and 22 in Edinburgh 1 7 We can say the following e The difference between East Dunbartonshire and Midlothian is not significant because the difference between the two 1 is smaller than either of the confidence limits In general if the difference is smaller than the larger of the two limits it could have occurred by chance and 1s not significant e The di
173. b3w 2001 2002 Neighbourhoods Poorstreetlighting problems with lighting Original Random adult ind wt X January2001 New code from question RB3_ b3x 2001 2002 Neighbourhoods Too much building development Original Random adult ind wt X Januay2001 New code from question RB3 b3y 2001 2002 Neighbourhoods Tooexpensive rates Council tax Original jRandomadut ind wt X January2001 New code from question RB3 b3z 2001 2002 Neighbourhoods jNotenough nopolie Original jRandomadut ind wt X January2001 New code from question RB3_ rb4a_ 1999 2000 Neighbourhoods Noisy neighbours loud parties Original Random adult jid wt X Februay1999 1 1 0 1 b4b 1999 2000 Neighbourhoods Vandalism graffiti damage to property Original Random adult nd wt X janury2000 b4c 1999 2000 Neighbourhoods Groups of young people hanging about Original Random adult nd wt X January 2000 0 b4d 1999 2000 Neighbourhoods People drinking or using drugs Original Random adult nd wt X janury2000 J 0 b4da 1999 2000 Neighbourhoods Agreements with statement 1 about neighbour involvement Origina Random adult J id wt X Februay1999 1 0 rb4db 1999 2000 Neighbourhoods Agreements with statement 2 about neighbour involvement Origina Randoma
174. ber 999997 If open numeric coded in RB8D ask RB8E Otherwise skip to RC1 RB8E THINKING ABOUT THE LAST TIME THAT HAPPENED IN WHICH MONTH DID THAT HAPPEN January 1 February 2 March 3 April 4 May 5 June 6 July 7 August 8 September 9 October 10 November 11 December 12 Can t remember 13 RC EDUCATION AND TRAINING Ask if AGED over 16 and not retired RC1 PLEASE LOOK AT THIS CARD AND TELL ME WHICH IF ANY OF THE FOLLOWING EDUCATIONAL QUALIFICATIONS YOU HAVE RC1A RC1J Code all that apply School Leaving Certificate new National Qualification Access Unit 1 O Grade Standard Grade GCSE CSE Senior Certificate or equivalent 2 GSVQ Foundation or Intermediate SVQ Level 1 or 2 SCOTVEC Module or equivalent 3 Higher Grade Higher Still CSYS A level Advanced Senior Certificate or equivalent 4 GSVQ Advanced SVQ Level3 ONC OND SCOTVEC National Diploma or equivalent 5 City and Guilds 6 HNC HND SVQ Levels 4 or 5 or equivalent 7 First Degree Higher degree 8 Professional qualifications e g teaching accountancy 9 None of these 10 26 Scottish Household Survey Questionnaire April 2003 to December 2004 RC2 ARE YOU CURRENTLY TAKING PART IN ANY OF THESE FORMS OF EDUCATION CLASSES OR TRAINING WHICH ONES RC2A RC2H Code all that apply None 1 On the job training 2 A Further Education college course 3 A university based course 4 Distance learning
175. ble db kid ok d kid wit 4f proptype Lancel Selected column variable g dyear gt Help 4 dateint Layer 1 of 1 4 month 4 year previous en At la 4b shs Bcla g newrural wv m Display clustered bar charts Statistics Cells Format List of Variables Figure 22 Housing Tenure by Property Type Crosstab Suppress tables i Output SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help salann w B Elele FE Output fE Crosstabs Housing tenure Property type Crosstabulation E Title Property type Detached Semi detac Terraced Flatmais house hed house house onette Other Total B Motes Housing Owned outright 49 tenure Buying with help of laan martqage Rent LASH 41 Rent HA Co op 12 Rent private landlord 12 Other 1 49 SP55 Processor is ready SHS Lite User Guide Version 1 0 Page 33 6 3 2 Creating a Three Way Crosstab Table You can add a layer variable to create a three way table in which categories of the row and column variables are further subdivided by categories of the layer variable This variable is sometimes referred to as the control variable because it may reveal how the relationship between the row and column variables changes when you control for the effects of the third variable An illustrative example can be found in Section 8 10 on page 79 For easy reference however the basic steps you would need to
176. ble values giving a total of 9 combinations We need to represent these combinations of recycling and car use one combination for each cell in the crosstab to compute the new variable These are Table 1 Combinations of recycling and car use No car never recycles numcars 0 and recycle 2 No car infrequent recycling numcars 0 and recycle 3 2 7 To create a new variable we use the compute command e Select Transform Compute from the menu bar e Type car_rec as the Target Variable see Figure 115 e Click the A oat See button Figure 115 Compute Variable dialog box W Compute Variable Target Variable car rec Car rec as PIRE Target Variable lt gt 7 8 9 Functions rand ok Type amp Label lt gt 4 5 6 ABS numexpr euh bun poses celsi romae he id a dite LAT don ASO M T xx Er Z allg db dyear 7 0 Delete cpr peBNDULL p gt dateint If d month a 4 year AL la Reset Cancel Help e Type Recycling and car access as the Label see Figure 116 e Leave Type set as Numeric SHS Lite User Guide Version lO age 9 e Click to return to the Compute Variable dialog box Figure 116 Type and Label Compute Variable Type and Label E3 Label Use expression as label Cancel Type Help t Numeric t String Il e n Numeric Expression type see Figure 117 e Click the button e Select the ncl
177. blic transport 8 Renfrewshire Y Public transport unsuitable 9 Shetland Z Good exercise fresh air 10 South Ayrshire 1 No car transport 11 South Lanarkshire 2 Cheapest method 12 Stirling 3 It is free 13 West Dumbartonshire 4 On way to work 14 West Lothian 5 Too young to travel any other way 15 Western Isles 6 Relative meets child 16 Don t know 7 Ask HE15 if coded 2 or 3 at HE10 11 Scottish Household Survey Questionnaire April 2003 to December 2004 HE15 WOULD IT BE POSSIBLE FOR CHILD TO USE HF2 WHICH OF THE CONDITIONS LISTED ON THIS PUBLIC TRANSPORT FOR THE JOURNEY TO OR CARD BEST DESCRIBES THE ILL HEALTH OR FROM SCHOOL DISABILITY THAT NAME HAS HF2_1A HF10_T Yes 1 No 2 A speech impairment 1 f Chest or breathing problems 2 Ask HE16 if coded yes 1 at HE15 If coded no 2 skip to Diabetes 3 HE17 Difficulty hearing 4 HE16 WHAT ARE THE MAIN REASONS CHILD DOES Difficulty seeing even when wearing glasses lenses 5 NOT USE PUBLIC TRANSPORT eee 6 HE16A HE16H Epilepsy P 7 Probe fully Heart blood pressure or circulation problems 8 Learning or behavioural problems e g autism 9 Too young to travel on own 1 Mental health problems 10 No service available 2 Problems or disabilities related to arms or hands 11 Inconvenient 3 Problems or disabilities related to legs or feet 12 Too far to bus stop 4 Problems or disabilities related to back or neck 13 Cost to
178. bus Works Bus Ordinary service bus Taxi rminicab Fail Underground Ferry Aeroplane Other Total Missing System Total 7 SP55 Processor is ready Page 110 SHS Lite User Guide Version 1 0 10 Contact Details Full datasets are available from the UK Data Archive at UK Data Archive University of Essex Wivenhoe Park Colchester Essex CO4 3SQ Telephone 01206 872143 Email help esds ac uk Web http www data archive ac uk General enquiries on the Scottish Household Survey should be addressed to Project Manager Scottish Household Survey ASD Development Department Scottish Executive Victoria Quay Edinburgh EH6 6QQ Telephone 0131 244 8420 Email shs scotland gsi gov uk Web http www scotland gov uk shs General enquiries on Scottish Executive Statistics should be addressed to Office of Chief Statistician 3WR St Andrews House Scottish Executive Edinburgh EHI 3DG Telephone 0131 244 0442 Email statistics enquiries scotland gsi gov uk Web http www scotland gov uk stats Note As stated in the Introduction we cannot offer support on using SPSS SHS Lite User Guide Version 1 0 Page 111 11 SHS Publications in 2004 11 1 General 11 1 1 Scotland s People Results from the 2003 Scottish Household Survey Published August 2004 This report is divided into five substantive chapters Chapter 3 Who we are provides information on the population of Scotland covering topics such as
179. can use the scrollbars to navigate through the window s contents both vertically and horizontally in either pane or you can click an item in the outline pane to display it in the contents pane Note A small red arrow is displayed in the outline pane to the left of the selected item 7 1 3 Hiding a Table or Chart An open book icon in the outline pane indicates that this item is currently visible in the Viewer although it may not currently be in the visible portion of the contents pane Double clicking the item s open book icon will hide the item in the contents pane The icon now displays as a closed book Double clicking the item s closed book icon will redisplay the item in the contents pane 7 1 4 Changing the Output Order You can change the order in which the output 1s displayed e Click on the item s you want to move e Drag the selected item s to a new location and release the mouse button While dragging the selected items you will see the small red arrow to the left of Note the outline When you release the mouse the selected items will be inserted below the item marked with the red arrow Page 40 SHS Lite User Guide Version 1 0 7 2 Working with Pivot Tables The results from most statistical procedures are displayed in pivot tables The default tables produced may not display information as neatly as you would like or the information may not clearly make your point With pivot tables you can transpose rows and
180. caring and childcare Count nurseryorplaygroup TT Derived Household la wt X April 2003 he2c 2003 2004 Health caring and childcare Count before school care Derived Household X la wt April 2003 Ihe2d_ 2003 2004 Health caring and childcare Count afterschoolcare Derived Household la wt April 2003 he2e 2003 2004 Health caring and childcare Count holiday dub care Derived Household la wt X April 2003 Ihe2f_ 2003 2004 Health caring and childcare Count friend Derived Household la wt X jJAprl2003 he2g 2003 2004 Health caring and childcare Count relative or partner CC Derived Household la wt X April 2003 Ihe2h_ 2003 2004 Health caring and childcare Count other arrangements Derived Household X la wt April 2003 he2i 2003 2004 Health caring and childcare Count none Derived Household X la wt X jJAprl2003 P O he3a 1999 2000 Health caring and childcare Childcare to enable respondent partnertotake part in employment Original Househod la wt February 1999 December2002 1 he3b 1999 2000 Health caring and childcare Childcare to enable respondent partner to take part in education or training Orignal Househod la wt February 1999 December 2002 Ihe3c_ 1999 2000 Health caring and childcare Childcare used for some other reason TT O
181. ccess to and presentation of data and analysis e Improving the advice provided on statistics 3 To work effectively with users and providers by e Maintaining arrangements to consult and involve users and providers e Involving users and providers in planning developments in outputs and processes 4 To develop the quality of statistics by e Assuring and improving quality as an integral part of data collection and analysis and through regular reviews in line with National Statistics quality strategy e Developing statistical methods systems and classifications e Working with the rest of the Government Statistical Service to develop joint approaches solutions where appropriate To assure the integrity of statistics by e Maintaining and promoting integrity through implementation of the National Statistics Code of Practice and related protocols e Safeguarding the confidentiality of data subjects To ensure the efficient and effective delivery of statistics products and services by Making best use of all sources including administrative sources Minimising the burden on data providers through Survey Monitoring amp Advice Ensuring value for money Making best use of Information and Communications Technology Working with other analysts Ensuring effective communication within the Statistician Group e e o eo o0 eO Q9 To develop our workforce and competences Ensuring recruitment of staff with the necessary skills and potential
182. ch Religious activities Original Randomadut jind wt X January2000 4 O rfl2bh2_ 1999 2000 Community involvement jResidents tenants groups ororganisation amp Origna Random adult jind wt X January2000 O rfi2bi2_ 1999 2000 Community involvement Local economic employment initiatives credit unions food co ops etc TT Orignal Randomadult jind wt X January2000 O rfl2bj2_ 1999 2000 Community involvement Promoting equal opportunities race gender disability etc Origna Randomadut jind wt X January2000 O fl2bk2 1999 2000 Community involvement Tackling social inclusion poverty member of research panel social inclusion Partnership projects etc Original Randomadult ind wt X January 2000 rfi2bl2_ 1999 2000 Community involvement Arts culture Original Random adult jJind wt X Januay2000 O fl2bm2 1999 2000 Community involvement Sports activities Original Random adult find wt X January2000 O fl2bn2 1999 2000 Community involvement Other Origna Random adult find w Januay2000 J O fl2bo2 1999 2000 Community involvement Localcommunity group Original Random adult find wt X Januay2000 O rfl2bp2_ 1999 2000 Community involvement Charity shop Origina
183. ck the OF Paste Reset Cancel Help Dialog Recall button if you have previously used Crosstabs Reset Ps e Click if necessary to clear existing variables e Select rd3 and click gt to add it as a row variable see Figure 56 SHS Lite User Guide Version 1 0 e Select agerband and click gt to add it as a column variable For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so on this occasion we display no percentages e Select to display the Cells dialog box see Figure 54 e Uncheck the row percentages option if necessary Cont e Select to return to the Crosstabs dialog box e Select The Viewer window now opens to display the crosstab table see Figure 55 In Section 8 10 which starts on page 79 we created a three way crosstab table Note The results of this table are displayed in Figure 85 on page 81 and are exactly the same as the results from this example shown in Figure 55 on page 61 Figure 53 rd3 and agerband added as row and column variables Il Crosstabs Haw s DK gt dateint amp month x ab d3 m 4 year ezel l k la Columns hs bcl NM E agerband Lancel 4 numbhh Ld Help 4 totads Layer 1 af 1 4i totkids 4 hhtype LE uer dq famtype 4 Family gt 4 ethnichh Display clustered bar charts Statistics Cells Format Suppress tables Page 60 SHS Lite User Guide Ve
184. contact re winter maintenance lOrignal Random adult ind wt February 1999 December2002 1 1 1 1 Local council Satisfaction with contactre trading standards Original Random adult ind wt February 1999 December2002 1 1 11 Local council Glass bottles 4 Orgia Random adult ind wt January2000 December 2002 1 1 Local council Plastic Original Random adult ind wt January2000 December2002 1 Local council Metalcans Original Random adult ind wt January2000 December 2002 1 1 rfd 1999 2000 Local council Newspaper magazine paper cardboard Original X jRandomadult ind wt january2000 December2002 1 rfe 1999 2000 jLocalcoumcl jNoneofthese Original Random adult ind wt january2000 December2002 CC Local council No facilities available Original Randomadult ind wt January2000 December2002 1 1 rf b2 1999 2000 Local council Facilities too far away Original X jRandomadult ind wt january2000 December2002 CC rfoco 1999 2000 Local council Dontknow where facilities are Original X Random adult ind wt january2000 December2002
185. d in the Viewer The types of output can vary from tables to charts depending on the choices you make The Output window is divided into two panes The outline pane contains an outline of all the information stored in the Viewer The contents pane contains statistical tables charts and text output Figure 27 The Viewer Window i Output11 SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help salse amp olele 2 amp amp GIO s 8 E Output M ue Frequencies Title Notes LE Statistics E Frequency Table Statistics Title LE Banded age of random How random LE How random adult usua adult usually Log Banded age travels to amp Crosstabs of random work educati 4 Title adult on Notes N Valid 28266 14803 LEJ Case Processing Summary Missing 1469 14931 a How random adult usually t Log Frequency Table Banded age of random adult you Cumulative Sizing symbol Frequency Percent Valid Percent Percent used to change damos 25 to 34 the width of the 35 to 44 outline pane 4510 59 60 to 74 75 plus Total Missing System Total v gt SPSS Processor is ready The outline pane The contents pane SHS Lite User Guide Version 1 0 Page 39 7 1 1 Changing the Width of the Outline Pane Click and drag the right border of the outline pane to change its width see Figure 27 7 1 2 Navigating to a Table or Chart You
186. d or where the required number of call backs has not been 13 Scottish Household Survey Methodology 2003 2004 made there is an on going programme of reissuing non contacts in a bid to maximise the response rate At the end of each fieldwork year a significant number of valid but non contact addresses remain live The response rates for the SHS need to take account of the continuous nature of the survey The data file for each year will contain a small proportion of interviews conducted on sample drawn the previous year Similarly some of the addresses issued during any year will not be carried out until after the data file has been closed for analysis These interviews are carried into the next data file The response rates therefore report the outcomes for addresses sampled for a given period regardless of when the interview was carried out Details of the most recent response rates are given in Fieldwork outcomes 3 4 Questionnaire structure length and content It was noted earlier that the questionnaire falls into two parts the first collecting information about the composition and characteristics of the household from the Highest Income Householder or their spouse partner the second focusing mainly on the attitudes and experiences of a random adult member of the household The former is intended to generate data representative of Scottish households and the latter data representative of the Scottish adult population res
187. d wt February1999 rg12c 1999 2000 Health caring and childcare Other home help Original Random adult ind_wt___ February 1999 rg12d 1999 2000 Health caring and childcare Don t know about home help Original jRandomaduit ind wt X February1999 Oooo C i fe re ante How Satisfied or dissatisfied are you with the help service you receive from the Local council social ERE 1999 2000 Health caring and childcare work departme Original Random adult ind wt February 1999 F rgl 1 rgi6 2 rg17 December 2002 rg20 1999 2000 Health caring and childcare Number of cigarettes smoked each day Original Random adult ind wt February1999 rg20band 1999 2000 Health caring and childcare Banded cigarettes smoked per day Derived X Randomaduit ind wt February1999 1999 2000 Health caring and childcare Whether respondent currently has adaptations equipment to help them Random adult February 1999 Does looking after or caring for this person these people prevent you from doing paid work or as Norm poll 1999 2000 Health caring and childcare much paid work Original Random adult ind wt February 1999 i F 1999 2000 Health caring and childcare Do you smoke cigarettes nowadays Random adult ebruary 1999 rM ho pO eee i fs ee Ps E Oooo Oooo Ls p 1999 2000 Health caring and childcare Have wheelchair Original Random adult ind wt Feb
188. data would account for the design factors associated with most variables in the survey The 95 confidence intervals shown are based on complex standard errors 25 Scottish Household Survey Fieldwork outcomes 2003 2004 Table 5 1 Design factors and confidence intervals for key variables in 2003 2004 data SRS error SHS for the Complex 95 Confidence same size Standard Design Characteristics Estimate Intervals of sample Error Factor Lower Upper Tenure Owner occupied 64 9 64 1 65 6 0 27 0 39 1 45 Social rented Sector 26 9 26 2 21 1 0 25 0 38 1 51 Privately rented 6 3 6 0 6 7 0 14 0 16 1 17 Below bedroom standard 3 0 2 8 3 2 0 10 0 10 1 08 Property type Detached house 20 4 19 6 21 3 0 24 0 42 1 78 Semi detached house 21 6 21 0 22 3 0 24 0 33 1 41 Terraced house 22 3 21 5 23 2 0 24 0 42 1 79 Flat maisonette 35 3 34 5 36 1 0 27 0 42 1 58 Economic status of working age adults Full time employee 48 7 47 9 49 6 0 36 0 42 Part time employee 13 8 13 2 14 3 0 24 0 28 Self employed 5 8 5 4 6 2 0 17 0 20 1 17 Unemployed 4 4 3 5 0 0 16 0 17 1 06 HIH or partner has a bank 89 3 88 9 89 7 0 17 0 20 1 17 building society account Marital status of all adults Married cohabiting 49 3 48 8 49 7 0 19 0 23 1 23 Separated divorced 5 9 5 7 6 1 0 09 0 10 1 15 Single never married 37 8 37 4 38 2 0 18 0 20 1 11 Widowed 7 0 6 8 7 2 0 10 0 12 1 19 Access to the internet 45 2 44 4 46 0 0 29 0 40 1 37 Travel to work in a car 61 7 60 8 62 7 0 42 0 48 1 15
189. de Version 1 0 Page 20 Note You can click the button to clear any variables used in previous analyses Figure 17 Frequencies dialog box showing one selected variable El Frequencies E hd D db hd21 P db hd on 4b hell mn hel sale 4 he15 Help d rd NT iw Display frequency tables Statistics Charts Format Figure 18 How the random adult usually travels to work education Frequency table i Output SPSS Viewer File Edit View Insert Format Analyze Graphs Lltilities Window Help lalan a Eel E 1 aa 3 5 3 fE Output How random adult usually travels to work education JE Frequencies E Title Cumulative gl Mates Frequency Perce Valid Percent Percent nt L Statistics Walking iU L How random Driver car van 23 3 Passenger car van Motorcycle moped Bicycle school bus Works bus Ordinary service bus Taxi minicab Fail Underground Ferry Aeroplane Other Total Missing System SP55 Processor is ready Figure 18 illustrates a number of things e The number of people giving each response frequency column Page 30 SHS Lite User Guide Version 1 0 e The percentage of the whole sample giving each response percent column e The percentage of people who answered the question giving each response valid percent column This is different from the total sample because some people do not complete the random adult section of
190. dent s own classification of their economic activity collected at the start of the interview rather than on the full International Labour Organisation definition which is not classified by the respondent and is the basis for official estimates of unemployment The SHS is not an official source of statistics on employment see Methodology section 4 on limitations of the data Table 4 8 Comparison of economic activity variables among adults of working age 2003 Annual Scottish 2003 2004 Labour Force Survey SHS Yo Males n214 980 n 9 140 Employed 16 4 13 7 Unemployed 5 f 6 6 Economically inactive 17 9 19 6 Females n215 207 n210 405 Employed 70 3 66 6 Unemployed 3 4 2 9 Economically inactive 26 2 30 5 All adults n 30 187 n219 545 Employed 13 4 70 0 Unemployed 4 6 4 Economically inactive 22 0 25 4 weighted by number of adults and local authority size Figures in this table have been calculated using all working age people as the denominator headline unemployment statistics are not calculated on this basis 24 Scottish Household Survey Fieldwork outcomes 2003 2004 5 Survey design factors and complex standard errors Data collected in surveys are always an estimate of the true proportions in the population The accuracy of these estimates the sampling error can be calculated for any estimate in the survey using information about the proportion of people giving the response and the number of people in the
191. dressed to SHS Team Analytical Services Division Scottish Executive Development Department 1 F Victoria Quay Edinburgh EH6 6QQ Telephone 0131 244 8420 Fax 0131 244 7573 e mail shs scotland gsi gov uk W www scotland gov uk shs General enquiries on Scottish Executive statistics can be addressed to Ryan Stewart Office of the Chief Statistician Scottish Executive 3 Floor West Rear St Andrews House EDINBURGH EH1 3DG Telephone 0131 244 0442 Fax 0131 244 0335 e mail statistics enquiries scotland gsi gov uk Advice on specific areas of Scottish Executive statistical work can be obtained from staff at the telephone numbers given below Other contacts for Scottish statistics Forestry Commission 0131 314 6337 The Scottish Funding Councils for 0131 313 6575 Higher and Further Education Scottish Executive Statistics contacts Schools qualifications 0131 244 0313 Schools pupils and teachers 0131 244 1689 amm Further and Higher Education 0141 242 0273 government staffing Transport 0131 244 7255 Health 0131 244 3432 Community Care 0131 244 3777 bM Social Justice 0131 244 0442 ocottish Executive personnel 0131 244 3926 Agricultural census and labour force 0131 244 6150 0131 244 6441 General Register Office for Scotland Vital statistics and publications Population statistics census statistics or digital boundary products 0131 3
192. ds but with some apparent wobbliness in the lines Given the nature of car ownership and household tenure one would not expect sudden short term departures from the long term trend such as a sharp fall in the percentage of homes which are owned outright However the survey results sometimes suggest very surprising quarter to quarter changes For example the table below the first chart shows that in 2004 the weighted percentage of households with 3 cars appeared to increase from 3 0 in Q1 to 3 9 in Q2 then appears to fall to 3 1 in Q3 The cause cannot be any such change in car ownership across Scotland it must just be sampling variability the luck of the draw regarding which households were included in the sample in each quarter and which of them agreed to take part in the survey In the Annual Report s Appendix on confidence intervals and statistical significance Table A3 1 indicates that the 95 confidence limits for an estimate of 5 based on a sample of 4 000 cases are about 0 8 The apparent fluctuation in the percentage of households with 3 cars in the sample in the first three quarters of 2004 is a good illustration of such sampling variability The quarterly charts and tables also cover the following topics e rating of the neighbourhood as a place to live e people who hold a full driving licence e employed adults who work at or from home 19 Scottish Household Survey Methodology 2003 2004 e usual method o
193. dut J id wt X Februay1999 J 0 1 0 rb4dc 1999 2000 Neighbourhoods Agreements with statement 3 about neighbour involvement Original Random adult j id wt X Februay1999 J b4e 1999 2000 Neighbourhoods Rubbish or litter hanging around Original Random adult nd wt X janury2000 A 2 0 rb4e2_ 1999 2000 Neighbourhoods Number of neighbour disputes in past year Original Random adult j id wt X Februay1999 rb4za 2001 2002 Neighbourhoods Safety when walking in neighbourhood after dark Original Random adult nd wt X janury2002 b zb 2001 2002 Neighbourhoods Safety at home atnight Original Random adult nd wt X January 2002 _ J 0 ZA b5 1999 2000 Neighbourhoods Number of times anyone entered house flat without permission Original Randomaduitt ind wt X February 1999 December2001 1 1 1 1 1 1 1 b 1999 2000 Neighbourhoods Month that last break in occured JOrigna jRandomadut ind wt X February 1999 December2001 1 1 1 1 1 1 b7 1999 2000 Neighbourhoods Number of times motor vehicle stoleninlastyear Original Random adult ind wt February 1999 December2001 1 1 1 1 1 1 b8 1999 2000 Neighbourhoods Month last vehicle was stolen Original X jRandomadut ind wt X February 19
194. e only include hours on call if paid for them at 1 3 or more of normal hourly rate Can t say 98 Continue if HH1 coded no usual pay Otherwise go to HH17 HH9 LAST TIME YOUR WERE PAID WHAT WAS YOUR TOTAL TAKE HOME PAY THAT IS AFTER ALL DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON BUT INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estimate pou Don t know 999998 Refused 999997 Continue if amount entered at HH9 Otherwise go to HH13 HH10 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH11 INTERVIEWER PROBE IS THAT EXACT OR AN ESTIMATE Interviewer observe did respondent consult pay slip Exact consulted pay slip 1 Exact did not consult pay slip 2 Estimate 3 HH12 HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THAT PAY EXCLUDING MEAL BREAKS BUT INCLUDING PAID OVERTIME Note only include hours on call if paid for them Can t say 98 Continue if HH9 coded don t know Otherwise go to HH17 HH13 LAST TIME YOU WERE PAID WHAT WAS YOUR PAY BEFORE ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Write in to nearest oo Don t know 999998 Refused 999997 Continue if amount entered at HH13 Otherwise go to HH17 HH14 HOW LONG A PERIOD DOES THAT PAY CO
195. e 8 IRight Scale f8 famtype Numeric 8 2 Family type K 00 Couple None 8 Right Scale 19 famiy Numeric l8 2 Children in diff 1 10 One adu None l8 lRight Scale ethnichh Numeric 8 2 Wholly white 1 00 Wholly None 8 Right Scale couple Numeric 8 2 Whether marri K 00 Married None B Right Scale samesex Numeric E 2 Whether coupl 1 00 Couple 9 00 8 Right Scale hhwork Numeric 8 2 Household wor 1 00 single w None 45 Right Scale numgen Numeric 8 2 Number of gen None None i8 Right Scale generate Numeric 8 2 Generations in 100 00 No ot None IB Right Scale hihagebd Numeric 10 2 Banded age of 1 00 16 to 24 None IB Right Scale hihage Numeric 10 2 Age of highest 80 00 Aged 8 None 8 Right Scale hihsex Numeric 10 2 Sex ofHIH 1 00 Male None ig Right Scale hih stat Numeric B l2 Marital status 1 00 Married None 8 Right Scale eth hih Numeric 8 2 Ethnicity of HI 1 00 White None 7 Right Scale hihecon Numeric 10 2 HIH economic 1 00 Self em None 8 Right Scale Mirimaric Manna A Rinht Srale 4O anmerhand i gt XData View Va riable View Page 10 n PT 4 SPSS Processor is ready SHS Lite User Guide Version 1 0 3 3 Saving the Dataset File You can save the changes you have made to the SHS Lite dataset file in a location of your choice However it is not advisable to save changes made to the actual data in case mistakes
196. e HA9_1 to HA9 10 Ethnic origin Some questions allow the respondent to select a number of responses that reflect their views For example question RB2 asks respondents to say what it is about their area that they like There are 15 variables recording these options with Yes No responses for each case These types of multiple response variables are named by taking the root from the question name RB2 and adding letters to indicate each response option in this case a o The variables are therefore named RB2a to RB20 4 2 Viewing Variable Information A Variables dialog box 1s available that displays definition information for the currently selected variable see Figure 5 on page 14 This includes data format variable label user missing values and value labels Viewing Variable Information e Select Utilities Variables from the menu bar or click e Select the desired variable from the variable list on the left SHS Lite User Guide Version 1 0 Page 13 Figure 5 The Variables dialog box MS Variables Varable Information la Label Local authority identifier Type Ag Missing Values none Measurement Level Maminal Hor aA Definition Information 2 South Lanarkshire 3 Stirling 4 west Dunbartonshire A west Lothian b western Isles hn To Paste Close Help While in Data View you can use this dialog box to quickly navigate to one of the e Note variables by selecting it in the variable list and c
197. e environment 4 Providing adult education 5 Working in the area of health 6 Providing advice 7 Working with animals 8 Political party 9 Professional societies or organisations 10 Trade Union 11 Playgroups or children s activities 12 Activities or organisations working with young people 13 School board 14 Parent teacher association 15 Community Council 16 Community Safety 17 Church religious activities 18 Residents tenants groups or organisations 19 Local economic employment initiatives 20 35 Scottish Household Survey Questionnaire April 2003 to December 2004 Promoting equal opportunities 21 Tackling social inclusion poverty 22 Arts culture 23 Sports activities 24 Other record fully 25 RF12C AND WHAT IS IT THAT YOU ACTUALLY DO FOR THAT CLUB CHARITY CAMPAIGN ORGANISATION MULTICODE OK RF12CA RF12CF2 Fundraising 1 Management committee 2 Provide some kind of service 3 Help with campaigning 4 Help with administration 5 Other 6 HF12D2 AND MORE SPECIFICALLY OVER THE PAST FOUR WEEKS ABOUT HOW MANY HOURS WOULD YOU SAY YOU HAVE GIVEN IN THIS WAY IN TOTAL Ask all RF13 HF13 AM GOING TO READ OUT A NUMBER OF DIFFERENT TYPES OF SERVICES BEARING IN MIND WHERE THEY ARE AND YOUR OWN CIRCUMSTANCES PLEASE TELL ME HOW CONVENIENT OR INCONVENIENT YOU WOULD FIND IT TO MAKE USE OF THEIR SERVICES DURING THEIR NORMAL OPENING HOURS ASSUMING YOU NEEDED TO INTERVIEWER
198. e for the Syntax file e Specify a location to save the file e Click the button 9 3 Opening a Syntax File To open a syntax file e Choose File Open Syntax from the menu bar e Select the location of the file e Select the file to be opened e Click the button Note When you paste syntax it will be pasted in the currently open syntax file Page 108 SHS Lite User Guide Version 1 0 9 4 Running Syntax To run syntax e Open the relevant syntax file see Section 9 3 e Select the syntax you want to run see Figure 127 e Choose Run Current from the menu bar or click on the toolbar Note You can also press Ctrl R to run the current syntax The Viewer window will now open to display the output for the syntax see Figure 128 Figure 127 Selected syntax E amp My Syntax SPS SPSS Syntax Editor File Edit View Analyze Graphs Utilities Run Window Help ael 8 S E3je e aj Ea FREQUENCIES fORDER ANALYSIS CROSSTABS TABLES rd3 BY agerband F RMAT AVALUE TABLES CELLS2 COUNT COLUMN 7 5P55 Processor is ready SHS Lite User Guide Version 1 0 Page 109 Figure 128 Output for selected syntax i Qutput4 SP55 Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help os id a Sl Bel o Bl gt OO 15 How random adult usually travels to work education Walking Driver carvan Passenger carvan Motorcycle moped Bicycle school
199. e go to RE15 travel diary TDTIME ROUGHLY HOW MANY TIMES HAVE YOU USED TRANSPORT DIRECT IN THE PAST MONTH TDWHY1 WHAT HAVE YOU USED TRANSPORT DIRECT FOR To find out about routes 1 To find out about prices 2 To check arrival departure times 3 To find out whether train plane bus is on time running late or early 4 To check for possible delays on the roads on your route 5 To buy tickets 6 Other please specify 7 Ask TDWHY 2 if more than one coded at TDWHY1 TDWHY2 FOR WHICH ONE OF THE ABOVE WOULD YOU SAY THAT YOU HAVE USED TRANSPORT DIRECT MOST To find out about routes 1 To find out about prices 2 To check arrival departure times 3 To find out whether train plane bus is on time running late or early 4 To check for possible delays on the roads on your route 5 To buy tickets 6 Other 7 TDMOD1 FOR WHICH TYPE S OF JOURNEY HAVE YOU USED TRANSPORT DIRECT Aeroplane 1 Train 2 Long distance bus 3 Ferry 4 Local bus 5 Underground 6 Taxi 7 Car or private van 8 Commercial driving e g goods vehicle excursion bus etc 9 Motorcycle 10 Cycle 11 Walking 12 Other please specify 13 Ask TDMOD 2 if more than one coded at TDMOD1 TDMOD2 TDFOR WHICH ONE OF THE ABOVE WOULD YOU SAY THAT YOU HAVE USED TRANSPORT DIRECT MOST Aeroplane 1 Train 2 Long distance bus 3 Ferry 4 Local bus 5 Underground 6 Taxi 7 Car or private van 8 Commercial driving
200. e ipse Ee Output Variable Mame recycle Change Label How often respondent recuc If Old and New Values Reset Cancel Help f Old and New Values e Click to recode the values e Select the first Old Value Range option and specify the values through 3 see Figure 101 e For the New Value enter see Figure 101 SHS Lite User Guide Version 1 00 age OT Click LAs Figure 101 Using the Range through option Recode into Different Variables Old an Old Value Mew Value Value f Value C System missing Sustem missing t Copy old value s n Nu Of USer missing gt Mew First Old Value Range option is variables are strings showing 1 through 3 t All other values Continue Cancel Helo e Repeat using the Old Value Range of 4 through 6 and New Value of 2 e Click e Repeat using the Old Value Range of 7 through 6 and New Value of 5 e Click see Figure 102 e Click to return to the Recode dialog box Click Note The new recycle variable will be displayed at the end of the dataset Figure 102 All Old Values have been assigned New Values Recode into Different Variables Old and New Values Old Value New Value t Value cy Value System missing C Sustem missing C Copy old value s Swstemr or user missing Old gt Mew f Range 1 thru 3 gt 1 EN Athu6 gt 2 Al 3 ranges added cate bus 1 7
201. e on the website WWW gro scotland gov uk Most recent Statistical Publications relating to the Scottish Household Survey ISBN no Title Lastpublished Price 0 7559 4288 4 Scotland s People results from the 2003 Scottish Household Survey August 2004 20 00 0 7559 4284 1 Scottish Household Survey Methodology 2003 2004 August 2004 2 00 0 7559 4285 X Scottish Household Survey Fieldwork outcomes 2003 August 2004 2 00 ISHS Lite User Guide S O 0 7559 4287 6 SHS Lite User Guide August 2004 20 00 Additional copies of these publications may be purchased from Scottish Executive Publication Sales The Stationery Office Bookshop 71 Lothian Road Edinburgh EH3 9AZ Telephone 0131 228 4181 Fax 0131 622 7017 Cheques should be made payable to The Stationery Office Limited Complaints and suggestions If you are not satisfied with our service please write to the Chief Statistician Mr Rob Wishart 4 Floor East Rear St Andrews House Edinburgh EH1 3DG Telephone 0131 244 0302 e mail rob wishart scotland gsi gov uk We also welcome any comments or suggestions that would help us to improve our standards of service ISSN 0950 2254 ISBN 0 7559 4286 8 Price 2 00 Crown Copyright Brief extracts from the Crown Copyright material in this publication may be reproduced provided the source is fully acknowledged 2 Se m AE JENNI TP im GE ter Zl ya
202. e or Range of values e Specify the New Value and click Page 18 SHS Lite User Guide Version 1 0 e Repeat these steps for all values or value ranges to be recoded Figure 13 Old and New Values showing 2 ranges added as new values 1 and 2 Recode into Different Variables Old and Mew Values FS x Old Value New Value C Malue fe Value System missing System missing Pop old value s System ar user missing Old gt Mew O Bere 344 Oth 15 71 Enter old value or range of values through Range Bem Range Output variables are strings m 2 C All other values Continue Cancel Helo Note The new variable will be displayed at the end of the dataset 4 6 Defining Value Labels Value labels provide us with a useful description for each of the variable s values For example if you have recoded a variable this will allow you to give meaningful labels to the new values Figure 14 below shows some sample Value Labels These labels can be used to view the information in Data View see Section 3 2 2 on page 8 Define Value Labels e Select the Variable View tab L Data View A Variable View e Select the values cell for the variable you want to modify e Click E to open the Value Labels dialog box e Enter the Value e Enter the Value Label s Clee e Repeat these steps for the remaining values cio MN SHS Lite User Guide Version 1 0 Page
203. e process of allocation in paragraph 3 are simply allocated to the remaining local authorities with probability proportionate to household population See Fieldwork outcomes for an explanation of design factors and estimates for the 2003 2004 data Scottish Household Survey Methodology 2003 2004 5 The number of addresses required is then calculated using information on likely deadwood and response rate assumptions for each area This calculation is rounded up to the next multiple of 18 the number of addresses in an interviewer work allocation and the interview target recalculated using the actual number of addresses to be issued and the assumptions about deadwood and response rates Finally the 95 confidence interval for the revised interview target is then calculated As can be seen from the final column in the table the projected accuracy of the sub samples in the different areas over two years ranges from 1 6 in the largest authority Glasgow City to 4 4 in the smaller authorities which are over sampled to bring them up to the accuracy threshold In terms of the projected number of interviews the range was from 520 to 3 662 This degree of variation is felt to be appropriate given the need for finer grained analysis within the larger local authorities Scottish Household Survey Methodology 2003 2004 Table 2 1 Projected two year achieved sample size by local authority Rounded two year 2001 Census Wholly total wit
204. ee eee ee eer eee ere ere ene eee erence ere ee eer e 11 4 VARIABLES AND WEIGHTS seseesesecscsesccsesescesescoseseocoseseoscseosesecceseseosesesecsesecsesescoseseososesesseseseoseseseeseseo 13 4 1 DANDI NEP NN CNET E AAEN E ER E E EE 13 4 2 VIEWING VARIABLE INFORMATION cccsceccececcececcsceccececcececcececcscscscecscscesescesescecesceseecssescscesescesesees 13 4 3 DISPLAY VARIABLE NAMES IN DIALOG BOXES ccecesceccececccceccscscscsceccscsccsceceecucescscscecesescuseeces 14 4 4 OPE 24 1 iy id DS Fae esu II IMMER LI EMI E 16 AA USNE Sensara E o om 16 LE PME Welcome 17 4 5 NMARIABEBARE CODIN S occides GUI UEM LR MEL RU MEUSE 18 4 6 DEFINING ALUE LABE cise teszcters esis nse SU eld DESEE IM PEE CINE DELPLC IM IPM DD I DOE INDE LI PESE EEIE 19 4 7 GS NT E E 20 5 CONFIDENCE INTERVALS AND STATISTICAL SIGNIFICANCE ee ee eee eee eee eene ne oooe 23 5 1 THE REPRESENTATIVENESS OF THE SCOTTISH HOUSEHOLD SURVEY ccceccsceccececcececescececcscecesces 23 5 2 CONFIDENCE INTERV AES ec i dedero uoce exces cock tse b dox rad ure buta dva Pts ENTARA ENNEA NEARNE ENT AAEE 23 5 3 STATISTICAL SIGNIFICANCE ie eoeee besote dee tespides E EEEO uve Re ripe p LUE pU DURO EE E DELE EVE 25 5 4 STATISTICAL SIGNIFICANCE AND REPRESENTATIVENESS sceccececcececcececcecccscesescecescucescecescecscncecs 26 5 5 ESTIMATED SAMPLING ERROR TABLE cccsceccececcececcsceccececcececcscscescscscscsscscesescnceec
205. eeaeees 5 Table 2 3 Summary of outcomes at issued addresses for 2003 2004 sample cc cccccceececeeceeeeeeeeeececeeeeseeeesaneeees 6 Table 2 4 Trends in SHS response rates 1999 to 2004 sesssessessseeeseeneeenene nennen nennen nnne nnns 7 Table 2 5 Household interview targets and numbers achieved in each local authority 2003 2004 8 Table 2 6 Random adult RA response rates 2003 2004 sssssssssssesssesseseeen enne nnne nnne nens nsns na nn 9 Table 3 1 Weights to account for disproportionate sampling and differences in household response rates by local authority and quarter 2003 2004 ssssssssssssssssssssseseseeeee nenne nnnnnn nnne nnne n nsea siiis isses sias sisse a sises si ass s ssa sine sss ea ns 12 Table 3 2 Weights to account for disproportionate sampling and differences in random adult response rates by local authority and quarter 2009 20042 21 99 0 0 1t aac Vest sae ce cect hed cae editas Pales DON Nd De tot be cer rides ne Ges UON 14 Table 4 1 Comparison of household types in the 2001 Census and the 2003 2004 SHS eeeeeeeeeeeeese 18 Table 4 2 Comparison of key variables in the 2001 Census and the 2003 2004 SHS seeeeeseeseeeeee 18 Table 4 3 Comparison of weighted and unweighted age and sex profile of 2003 2004 SHS data with 2001 Census ISI SYM ICD TUO DOTT I EN a ERNEIET MEO NE SPRPIUE DRESS CR CREE E
206. ehold Survey Ref no Title hast published Price fScotland s People Results from the 2003 2004 Scottish Household Survey August2005 20 00 Scottish Household Survey Methodology 2003 2004 August205 200 Scottish Household Survey Questionnaire April 2003 to December 2004 August2000 200 fScottish Household Survey Questionnaire 2005 August2005 200 Additional copies of these publications may be purchased from Scottish Executive Publication Sales Blackwell s Bookshop 53 South Bridge Edinburgh EH1 1YS Telephone 0131 622 8283 Fax 0131 622 8258 or 0131 557 81480 Cheques should be made payable to Blackwell s Bookshop Complaints and suggestions If you are not satisfied with our service please write to the Chief Statistician Mr Rob Wishart 4 Floor East Rear St Andrews House Edinburgh EH1 3DG Telephone 0131 244 0302 e mail rob wishart scotland gsi gov uk We also welcome any comments or suggestions that would help us to improve our standards of service ISSN 0950 2254 ISBN 0 7559 4737 1 Price 2 00 Crown Copyright Brief extracts from the Crown Copyright material in this publication may be reproduced provided the source is fully acknowledged ISBN 0 7559 4737 1 j FF ite Mears Oo fim Misa Sem M TE Kd 3 im QE LEER B ct 2 oo ray i Na F O l 4 o NM 3
207. elect Data Split File from the menu bar or click the Split File button IE on the toolbar Reset f gt e Click if necessary to clear existing variables e Select the Compare groups option e Select the agerband variable and click gt see Figure 49 cuo MN Note The data file is now grouped by banded age of the random adult agerband Figure 49 File split by Banded age of random adult agerband lil Split File gt hhwiark f Analyze all cases do not create groups DK 4 numgen f Compare groups a Senes t Organize output by groups 4 hihagebd Groupe Based arr Heset 4 hihage E g hihses ud Paste b hih stat me 4 eth hih ge hihecon 4 randage fe Sort the file by grouping variables a randecon of File is already sorted Current Status Analysis by groups is off We are now going to create the frequency table e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Frequencies from the menu bar or click the Dialog Recall button if you have previously used Frequencies e Click if necessary to clear existing variables e Select the rd3 variable and click gt Page 56 SHS Lite User Guide Version 1 0 You can select a variable by typing the start of its name instead of scrolling through the list of variables For example type rd to select the rd3 variable Note Figure 50 The Frequencies dialog box El Frequencies E hd Variables
208. ements of the sample for the survey are as follows e it should provide an achieved national sample of 31 000 interviews over two years e interviews should be spread evenly across the 24 months of interviewing e the sample should be fully national in character i e covering the whole of mainland Scotland and the Islands and that each quarter should produce nationally representative results e results as reliable as those of a simple random sample of 500 should be available for the larger local authorities on an annual basis and for all local authorities regardless of size after 2 years e the sample should be capable of producing data which are representative both of Scottish households and the adult aged 16 population resident in private households These objectives were met by e selecting the survey sample from the Postcode Address File e distributing interview targets by local authority area to achieve the stated accuracy requirements e minimising design effects by using random sampling in the more densely populated areas and clustered sampling in other areas e stratifying the clustered sample within local authorities to ensure coverage and representativeness e using computer assisted interviewing to control the selection of individuals for interview within households 2 1 Sampling from the Postcode Address File Since the mid 1980s the Small User File of the Postcode Address File PAF has emerged as the most widely used
209. en local authorities This aspect of the survey has been subject to review by the Office for National Statistics as part of a major study comparing non respondents to the SHS with Census data This study concluded that while comparison with the Census showed some bias in the SHS this was not substantial although some corrective weighting would be recommended Work is currently underway to determine the best way to carry out corrective weighting taking account of the timetable for data delivery 3 http www scotland gov uk Topics Statistics 16002 47 12 Freeth S and Sparks J 2004 The Scottish Household Survey Report of the 2001 Census linked study of survey non response Full report available at http www scotland gov uk topics statistics 16002 22861 15 Scottish Household Survey Fieldwork outcomes 2003 2004 4 Data quality The issue of bias arises in every survey of the population There are a number of sources of bias some of which reflect aspects of the survey design such as the sampling frame or who is deemed eligible for interview However bias is also a reflection of those aspects of fieldwork outcomes mentioned above e the quality of survey administration procedures e whether potential respondents can be found at home at times when interviewers call e whether they are able to participate in the interview i e not restricted by ill health disability or communication barriers e the willingness of members of t
210. ences of neighbourhood disputes e health problems and caring responsibilities e employment status e individual income from employment and other sources 15 Scottish Household Survey Methodology 2003 2004 4 Limitations of the data There are a number of important methodological and data issues that users need to be aware of when using the SHS data Like all sample surveys the SHS can only produce estimates and these estimates are limited by a number of factors e Sample coverage although there are no geographical exclusions to the survey the sampling frame does not cover the whole population because of a combination of inherent limitations and administrative errors and delays e Sampling variability all samples can differ from the population by chance This is often referred to as sampling error e The number of cases that analysis is based on estimates based on large samples are more accurate than those based on small samples e Bias in the achieved sample if a sample under represents sections of the population or if a large proportion of people do not answer some questions the estimates may differ substantially from the population for reasons that are not a result of chance For example in 2003 2004 the unweighted sample of adults is 56 female and even after weighting 54 of the sample is female but the true figure in the population is only 51 This is an example of bias caused by young males in
211. encies from the menu bar or click l ene the Dialog Recall button if you have previously used Frequencies e Click if necessary to clear existing variables e Select the agerband variable and click gt see Figure 40 You can select a variable by typing the start of its name instead of scrolling Note through the list of variables For example type ag to select the agerband variable SHS Lite User Guide Version 1 00 Page49 Figure 40 Multiple variables selected Ell Frequencies Al la V ariable s 4 shs Bcla 4 agerband dq newrural dq numbhh Reset g totads G totkids Cancel 4 hhtype Help 4 famtype SA f 2L Paste wt iw Display frequency tables Statistics Charts Format e Select the randsex variable and click gt cio MN The Viewer window now opens to display both Frequency tables see Figure 41 Figure 41 agerband and randsex frequencies i Output SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help oF d Go 9 Ble b 1 zijn x a 8 ig Output E Frequencies Banded age of random adult E Title ly Notes Cumulative Ej Statistics Frequency Percent Walid Percent Percent B Title 25 tn 34 15 5 16 3 21 3 Lg Banded age of random ad 35 to 44 18 4 198 3 4h 7 L Sex of random adult 45 to 58 24 0 25 2 71 8 M Log BO to 74 18 8 18 8 91 5 75 plus 79 8 4 100 0 Tatal q5 1 100 0 Missing System
212. ends interest interest from savings 7 Student grant 8 Student loan 9 Regular non work income from any other organisation please specify 10 Ask RI70 to RI71 for each additional income source as necessary RI70 HOW MUCH DID YOU RECEIVE IN INC LAST TIME YOU RECEIVED IT Don t know 98 Refused 97 RI71 WHAT PERIOD DID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 Don t know 98 RANDOM ADULT PERMISSION TO BE RECONTACTED Consent given 1 Consent refused 2 SCOTTISH EXECUTIVE STATISTICAL SERVICES OUR AIM The aim of the Statistical Service is to provide relevant and reliable information analysis and advice that meet the needs of government business and the people of Scotland OBJECTIVES To produce statistics and analysis relevant to user needs by Developing the range of statistics and analysis we produce Where practicable improving timeliness Providing more statistics disaggregated by age gender and ethnicity Developing more data for small areas through the Neighbourhood Statistics project Contributing to production of comparable statistics across the UK and internationally e e o o O6 m z 2 Toensure effective use of our statistics by e Contributing more directly to policy processes inside and where possible outside government e Improving a
213. eofjobs Original Randomchid jrankidwt April 2003 P IheSne_ 2003 2004 Health caring and childcare Uses childcare to earn more money TT Orignad Random child rankidwt April 2003 O IheSnf_ 2003 2004 Health caring and childcare Uses childcare to study study more Origna Randomchid jrankidwt April 2003 IheSng_ 2003 2004 X Health caring and childcare Uses childcare to give self partner more time to do otherthings Original Randomchid jrankidwt April 2003 IheSnh_ 2003 2004 Health caring and childcare Uses childcareforotherreasons Origna Randomchid rankidwt April 2003 IheSni_ 2003 2004 Health caring and childcare Health reasons respite Origmad Randomchid jrankidwt April 2003 loversat 2003 2004 Health caring and childcare Overall view of childcare Derived Household la wt April 2003 December2002 Cd kidcare 2003 2004 Health caring and childcare Number of children receiving childcare Derived Household la wt April 2003 dis 2003 2002 Health caring and childcare Number of people in household with disability only Derived Household la wt X January 2001 O liti 1999 2000 Health caring and childcare Peo
214. er of eligible adults in the household however one should see the profile correct itself significantly In most surveys of this kind however some under representation of younger people and males and over representation of older people and females is likely to remain because of the effects of non response bias Depending on the extent of the remaining skew it may be necessary to adopt further corrective measures but this has not been the case so far Analysis of data based on the random adult also requires a further weight to take account of differences between the number of such interviews completed in each local authority area and the actual adult population of such areas Like the element of the household data weight which adjusts for differences in fieldwork outcomes by local authority this is intended not to compensate for unequal probabilities of selection but to ensure that the final profile of individual data correctly reflects the relative populations of the different local authority areas once variations in fieldwork outcomes have been assessed This is not identical to the weight described for analysis of household data since variation in response rates for the second part of the interview may have produced a slightly different distribution from that of householder interviews The weights required for each local authority which are then multiplied by the number of adults in the household to create the weight for each ca
215. erences in sampling fractions and response rates between local authorities This should be used when analysing household household member or vehicle variables This includes all variables beginning with H except those from HE6 to HE17 and derived household variables about the household the highest income householder HIH or the spouse of the HIH IND_WT This contains the individual weight to be used when analysing the Random Adult data This includes all variables beginning with R and the derived random adult variables KID_WT This contains the individual weight to be used when analysing the Random Schoolchild data variables from questions HE6 to HE17 and the derived random schoolchild variables Page 20 SHS Lite User Guide Version 1 0 The weighting 1s straightforward when the variables being analysed all need the same weight In cases where you want to mix household and random adult data the weight needs to be IND_WT For example tenure is a household variable and travel to work is a random adult variable A table of tenure by travel to work would be weighted by IND_WT because tenure is being used as a characteristic of the random adult The rules to adopt are e Household variables use LA_WT e Random adult variables use IND WT e Combination of household and random adult variables use IND WT e Combination of household and random schoolchild variables use KID WT Note You can only choose 1 weight IND WT and KID WT
216. es 5 00 One car infrequent recyclir SHS Lite User Guide Version 1 0 Page 103 This variable can now be used for further analysis We are now going to create a frequency table using the car_rec variable and the values should match the entries in Table 1 on page 99 e Select View Data from the menu bar or Click a gt Data View Variable View f at the bottom left of the screen e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Frequencies from the menu bar or click the Dialog Recall button if you have previously used Frequencies e Click if necessary to clear existing variables e Select the car_rec variable and click gt see Figure 123 You can select a variable by typing the start of its name instead of scrolling through the list of variables For example type ca to select the car_rec variable Note Figure 123 The Frequencies dialog box Ill Frequencies E pesi V ariable s d filler dg car rec g lanew d test 4 agerbnd2 lt gt rd 3new 4 recycle Y i Display frequency tables Statistics Charts Format i OF Click LOK The Viewer window now opens to display the Frequency table see Figure 124 Page 104 SHS Lite User Guide Version 1 0 Figure 124 Recycling and Car Access Frequency i Output13 spo SPSS Viewer File Edit view Insert Format Analyze Graphs Lltilibies Window Help laal e
217. es to variable variable External introduced removed ind wt ind wt Februay1999 1 0 0 0 0 b3b 1999 2000 X Neighbourhoods Poor public transport Original Random adult j nd wt X Februay1999 Poor outlook view Original Randomadut X j ind wt X February 1999 11 1 0 b3d 1999 2000 Neighbourhoods Problem with neighbours Original Random adult nd wt X Februay1999 amp 0 b3e 1999 2000 Neighbourhoods Problems with dogs Original Random adult nd wt X Februay1999 1 b3f 1999 2000 Neighbourhoods jUnsafelrime Origna Random adult nd wt X Februay1999 1 b3g 1999 2000 Neighbourhoods Poor local shops 1 1 1 1 1 1 1 1 1 1 Origna Random adult nd wt X Februay1999 1 0 Vandalism Original Randomadut X jid wt X February1999 1111 04 b3i 1999 2000 Neighbourhoods Poor local leisure facilities Original Random adult jid wt X Februay1999 rb3j_ 1999 2000 X Neighbourhood Drug abuse Original Random adult nd wt X February 1999 1 0 1 1 1 Poor local schools Original Randomadut X jind wt X February1999 1111 0 b3 1999 2000 Neighbourhoods Alcohol abuse Original Random adult nd wt X February 1999 1
218. esponse Sets d rh3n z dq rbze Ens V arables Are Coded As Dichotomies Counted value E ETEA Dichotomies Counted value f Categories ma Mame ib2 4 Multiple response set Label Aspects liked within local area Multiple response set label Page 84 SHS Lite User Guide Version 1 0 e Click e Click 8 12 2 Multiple Response Frequency e Select Analyze Multiple Response Frequencies from the menu bar e Select the rb2 multiple response set and click see Figure 90 e Click see Figure 91 Figure 90 Multiple Response Frequencies Ill Multiple Response Frequencies Mult Response Sets Table s Far Dk Paste Reset Cancel Help Missing Values Exclude cases listwise within dichotomies Exclude cases listwise within categories Figure 91 rb2 Multiple Response Frequency i Output SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help Ga 2 Go Ei e gt L alc 1513 Multiple Response Group RB2 aspects liked within Value tabulated 1 Pct of Pct of Dichotomy label Name Count Responses Cases Area well maintained RBZA 2766 Good public transport RBZB 4969 Nicely landscaped open spaces RB2C 5172 Safe low crime RB2D 4925 Good outlook view REZE 4507 Quiet peaceful RB2F 15984 Friendly people RB2G 6264 Convenient shop amenities RBZH 8853 Good local shops REZI 3940 Good local leisure facilities RBZJ 1628 Good local sc
219. essing or distributing etc and main good produced materials used wholesale or retail etc P HG21 WHAT DO DID YOU MAINLY DO IN YOUR JOB E HG22 ARE WERE YOU WORKING AS AN EMPLOYEE OR WERE YOU SELF EMPLOYED Employee 1 Self employed 2 Continue if HG22 is coded 1 Otherwise go to HG25 HG23 DO DID YOU SUPERVISE ANY OTHER EMPLOYEES A supervisor or foreman is responsible for overseeing the work of other employees on a day to day basis Yes 1 No 2 HG24 HOW MANY EMPLOYEES OF YOUR FIRM ORGANISATION ARE WERE THERE AT THE PLACE WHERE YOU ACTUALLY WORK WORKED 1 24 1 25 499 2 500 or more 3 Continue if HG22 is coded 2 Otherwise go to HG27 14 Scottish Household Survey Questionnaire April 2003 to December 2004 HG25 ARE WERE YOU WORKING ON YOUR OWN OR DO DID YOU HAVE EMPLOYEES On own with partners but no employees 1 With employees 2 Continue if HG25 is coded 2 Otherwise go to HG27 HG26 HOW MANY EMPLOYEES ARE WERE THERE AT THE PLACE WHERE YOU WORK WORKED 1 24 1 25 499 2 500 or more 3 HG27 IS WAS YOUR MAIN JOB FULL TIME OR PART TIME Full time 1 Part time 2 HG28 AND IS WAS THAT JOB PERMANENT OR TEMPORARY temporary means fixed term contract or seasonal Permanent 1 Temporary 2 Ask for all in paid work coded 1 at HG1 or HG5 Repeat relevant questions from HH1 to HH16 for each job Self employed go to HH17 HH HOUSEHOLD INCOME The routing in the inc
220. et to car rec so no need to type it again e Edit the Numeric Expression to 2 e Click the button e Select the Include if case satisfies condition option if necessary e Click within the white box below this option and edit the current expression to numcars 0 and recycle 2 see Figure 119 SHS Lite User Guide Version 1 0 Page 101 Figure 119 Edited expression Compute Variable If Cases 4 uniqid Include all cases d la wt Include if case satisfies condition 4 rand ok numcars and recycle 4 db ind wi Edited expression gt kid ok d kid wt 4 dyear gt EIEIEI Functions Men m os 4 5 6 ABS numexpr mon 3 1121 3 AM vr testi value value db year Bl EM E 2121 ARSIM numespr la ll 0 _ AR TAN numexpr paz COFNORM z al 4 shs Bcla Bil E nu Delete aaa 4 newrural gt numbhh kal Cancel Help Cont e Select to return to the Compute Variable dialog box e Select e Select again to confirm the change to the existing variable see Figure 120 Figure 120 Change existing variable SPSS for Windows The Viewer window will open automatically again when you select the OK button As before simply close it without saving the changes Note We are now going to repeat these steps by recalling the Compute Variable dialog box to create the remaining 7 combinations which are listed in Table 1 on page 99 Note Remember to change the Numeric Expre
221. f travel to work e adults who make personal use of the internet e adults who have given up their time to help as an organiser or a volunteer e whether the household respondent partner spouse has a bank building society account e households with individuals who need regular help or care They can all be found on the SHS Web site www scotland gov uk shs under Publications Examples of charts and tables showing quarterly figures Households with or without a car Percentage 1999 2000 2001 2002 2003 2004 Two cars 3 Cars No car One car 9 Available at http www scotland gov uk topics statistics 16002 14050 20 Scottish Household Survey Methodology 2003 2004 Number of cars available for private use Year Qtr All None 1 2 3 households percent of households 1999 Qtr 1 38 7 44 3 14 7 2 3 100 Qtr 2 35 5 46 5 15 5 2 5 100 Qtr 3 37 9 44 4 15 4 2 4 100 Qtr 4 37 1 44 5 16 1 2 3 100 2000 Qtr 1 35 5 44 9 17 2 2 4 100 Qtr 2 37 1 45 0 15 7 2 2 100 Qtr 3 34 2 46 6 16 5 2 100 Qtr 4 36 4 45 1 16 4 2 0 100 2001 Qtr 1 36 1 46 4 15 5 2 0 100 Qtr 2 37 2 44 3 15 9 2 6 100 Qtr 3 34 6 46 5 16 2 2 100 Qtr 4 34 2 45 1 17 7 2 9 100 2002 Qtr 1 34 7 46 0 16 8 2 4 100 Qtr 2 35 5 43 9 18 0 2 6 100 Qtr 3 35 9 42 3 19 2 2 6 100 Qtr 4 33 9 44 9 18 8 2 4 100 2003 Qtr 1 34 0 45 4 18 2 2 5 100 Qtr 2 32 7 44 0 19 8 9 9 100 Qtr 3 33 3 44 5 19 1 3 1 100 Qtr 4 32 1 44 6 20 3 3 0 100 200
222. fference between East Dunbartonshire and Edinburgh is significant because the difference 14 1s greater than the sum of the limits 2 3 1 7 4 In general a difference that is greater than the sum of the limits 1s significant e If the difference is greater than the larger of the two confidence limits but less than the sum of the two limits the difference might be significant although the test 1s more complex Statistical sampling theory suggests that the difference is significant if it is greater than the square root of the sum of the squares of the limits for the two estimates The difference of 4 between Midlothian and the Highlands is greater than the largest confidence limit 22 590 in Midlothian but it is less than the sum of the two limits 2 5 2 0 4 5 so it might be significant In this case 2 5 6 25 and 2 4 giving a total of 10 25 The square root of this is 3 20 which means that the difference of 4 is significant Similar calculations will indicate whether or not other pairs of estimates differ significantly SHS Lite User Guide Version 1 0 Page 25 5 4 Statistical Significance and Representativeness Calculations of confidence limits and statistical significance only take account of sampling variability The survey s results could also be affected by non contact non response bias If the characteristics of the people who should have been in the survey but who could not be contacted or who refused to
223. fied by the geo demographic indicator Scottish MOSAIC The purpose of this is to ensure that the sample correctly reflects the population structure in terms of area or neighbourhood type Given the likely relationship between such variables and the topic coverage of the survey stratification should lead to an increase in survey precision It cannot in any case result in a sample which is less effective than an unstratified one since 10 Scottish Household Survey Methodology 2003 2004 Stratification does not imply any departure from randomness or from the principle of equal probabilities of selection within a local authority Although the full Scottish MOSAIC classification runs to 47 types for the purposes of stratification it is sufficient to use the main summary groups A full description of these is included in Appendix 1 An additional advantage of using Scottish MOSAIC for the purpose of stratification is that it can be applied not only at ED level but at unit postcode level 2 9 Allocating sample across the calendar year As the fieldwork for the survey runs throughout the calendar year it is important to ensure an even distribution of PSUs and in the high population density local authorities interviewer assignments by geographic area and Scottish MOSAIC type over time There are two main reasons for this an uneven distribution would jeopardise the requirement for the sample to be representative of the national populat
224. find wt X JApril2003 iptplane 2003 2004 Transprt Contactedthe venue attraction you are visiting Origna Randomadut find wt X JApril2003 iptplanf 2003 2004 Transprt UsedTransportDirect internet portal Origna Random adult find wt X JApril2003 lptplang 2003 2004 Transprt Teletex Ceefax Original Random adult jind wt April 2003 lptplanh_ 2003 2004 Transprt jDigital TVinteractiveservices J Origna Random adult jind wt X April 2003 iptplani 2003 2004 jTransprt Electronic kiosks terminas TT Origna Random adult find wt X April 2003 Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed ind wt tplanj 2003 2004 Iranspot Intermetaccess Original Random adult ind wt X Aprl2003 tplank 2003 2004 Transport None someoneelsefindsoutfor me Original Random adult ind wt X Aprl2003 tplanl 2003 2004 Transport Haven t made journeys by bus train or underground Original Random adult J ind wt X Aprl2003 tplanm 2003 2004 Transport Other 1 0 1 1 0 0 1 1 0 POrigna Random adult jind wt X Aprl2003 rb4xa rb4xb rb4xc rb4ya rb4yb Links to RB4za from Jan 2002 rb4yc rd6a rd6b rd c I TL T I
225. formation from the shortcut menu see Figure 69 and Figure 70 e Select the la variable and click gt e Enter the name anew for the output new variable e Enter the optional label Clackmannanshire or rest of Scotland identifier for the output new variable e Click see Figure 71 Figure 69 Right clicking the a variable lll Recode into Different Variables Input Variable gt Output Variable Output Variable ET NR 4 dateint gt month What s This Variable Information Figure 70 la variable information Local authority identifier Right clicking the a variable and selecting Variable Mame la Information as shown in Measurement KMorninal Figure 69 displays the information in Figure 70 Value labels 1 South Ayrshire D Argyll and Bute E Borders F Clackmannanshire G Dumfries and Galloway H Dundee Cit SHS Lite User Guide Version 1 0 Page 71 Figure 71 Recoding a into new variable lanew lll Recode into Different Variables String Variable Output Variable A Pee ge eS esl Output Variable Name lanew I Label Clackmannanshire or rest af IF e Old and New Values she bcla ea Reset Cancel Help Old and New Values e Click to recode the values e Select the Old Value option and enter F see Figure 72 e For the New Value enter see Figure 72 cua 5 Figure 72 Old Value of F and New Value of 1 4 Old value
226. g Whetherlowriseorhighriseflat Derived Household la wt February1999 O hb3b 1999 2000 Housng jNumberoffloorsinbuildng Origma Household la wt X February1999 hhcla 1999 2000 Housng Shareanyrooms with otherhouseholds Original Household la wt X February1999 Inclb 1999 2000 X j Houing jYeskithen Orginal Household X a wt X February1999 hcic 1999 2000 Housing Yes bathroom Original Household la wt X February1999 hcid 1999 2000 Houing Yes WC Origna Household X l wt X jFebruary1999 Incle 1999 2000 Houing Other J Origna Household X l wt X February1999 Ine2_ 1999 2000 Housing Whichroomsareshared Origna Household la wt X February1999 hhca 1999 2000 X Housng With how many other households are rooms shared Original Househod la wt February 1999 Inca 1999 2000 Housing Number of bedrooms 1 Origna Household la wt X jFebruay1999 O Inc4b 2001 2002 Housng Whether property has central heating Origna
227. g Count 404 usually travels to 96 within New banded 19 0 Work age of random adult l 6 895 count 1052 3739 within Mew banded age of random adult 50 0 74 1 Count B58 apd So within New banded age of random adult 31 058 17 1 count 2124 545 100 0 100 0 within Mew banded age af random adult Sex of random adult drop down list You can click the drop down arrow to change the sex of random adult which automatically updates the results in the table Figure 88 shows the results for females in the table Figure 88 Sex of random adult showing Female in the Layer dimension How random adult usually travels to work New banded age of random adult Sex of random adult Crosstabulation Sex of random adult How random adult walking Court usually travels to 96 within New banded work age of random adult aad i Count gri 33B4 within New banded age of random adult 44 56 63 5 Count Tad 1004 55 within Mew banded age of random adult 33 17 19 0 Court A177 5298 within New banded age of random adult 100 0 100 0 Try experimenting with some other layouts For example drag the sex of random adult icon to the Column dimension and the banded age of random adult to the Layer dimension New banded age af random adult m 16 to 30 31 to Ea Pivoting Trays 474 SHS Lite User Guide Version 1 0 Page 83 8 12 Example 12 Multiple Responses In previous examples survey respondent
228. g aid 13 Bath shower seat 14 Hearing aid 15 Bath lifts 16 Adapted toilet seat 17 Other 18 Nothing none 19 RG11 DO YOU HAVE A HOME HELP AT THE MOMENT THAT IS SOMEONE WHO REGULARLY COMES IN TO HELP WITH CERTAIN TASKS LIKE CLEANING COOKING OR SHOPPING WHICH YOU FIND IT DIFFICULT TO MANAGE ON YOUR OWN Yes 1 No 2 Don t know 3 Ask those who have a Home Help If coded yes 1 at RG11 Otherwise skip to RG15 RG1i2 CAN YOU TELL ME IS IT THE COUNCIL SOCIAL WORK DEPARTMENT WHO PROVIDES THIS SERVICE OR IS IT PROVIDED BY SOMEONE ELSE IF SOMEONE ELSE PROBE IS IT PAID FOR PRIVATELY RG12A RG12D Multicode OK Local council social work department 1 Hired someone privately 2 Other 3 Don t know 4 If RG12 is coded 3 or 4 go to RG15 If RG12 is coded 1 ask RG13 If RG12 is coded 2 go to RG14 RG13 HOW SATISFIED OR DISSATISFIED ARE YOU WITH THE HELP SERVICE YOU RECEIVE FROM THE LOCAL COUNCIL SOCIAL WORK DEPARTMENT Very satisfied 1 Fairly satisfied 2 Neither satisfied nor dissatisfied 3 Fairly dissatisfied 4 Very dissatisfied 5 No opinion 6 RG14 HOW SATISFIED OR DISSATISFIED ARE YOU WITH THE PRIVATELY PROVIDED HELP SERVICE YOU RECEIVE Very satisfied 1 Fairly satisfied 2 Neither satisfied nor dissatisfied 3 Fairly dissatisfied 4 Very dissatisfied 5 No opinion 6 Ask all RG15 RG15 DO YOU PROVIDE ANY REGULAR HELP OR CARE FOR ANY SICK DISABLED OR ELDERLY PERSON
229. h projected Width of 95 household proportionate achieved minimum confidence interval population allocation sample size Authorities with systematic random sampling Aberdeen City 97 013 1 400 1 309 2 7 Dundee City 66 908 968 850 3 9 East Dunbartonshire 42 206 599 564 4 1 East Renfrewshire 34 950 481 543 4 1 Edinburgh City of 204 683 2 890 2 33 1 9 Glasgow City 2 1 596 3 911 3 662 1 6 Inverclyde 36 691 540 539 4 4 Renfrewshire 75 355 1 091 1 014 3 1 West Dunbartonshire 40 781 583 520 4 2 Authorities with clustered sampling Aberdeenshire 90 736 1 281 1 217 2 8 Angus 46 945 666 612 3 9 Argyll and Bute 38 969 545 587 4 0 Clackmannanshire 20 558 292 588 4 0 Dumfries and Galloway 63 807 902 843 3 4 East Ayrshire 00 346 122 667 3 8 East Lothian 38 157 531 588 4 0 Eilean Siar 11 275 169 566 3 9 Falkirk 62 598 860 793 3 4 Fife 150 274 2 109 1 971 2 2 Highland 89 533 1 257 1 199 2 8 Midlothian 32 922 448 576 4 0 Moray 35 803 505 600 4 0 North Ayrshire 58 726 841 796 3 5 North Lanarkshire 132 619 1 867 1 728 2 3 Orkney Islands 8 342 118 596 4 0 Perth and Kinross 58 323 802 167 3 6 Scottish Borders 47 371 652 605 4 0 Shetland Islands 9 111 129 602 4 0 South Ayrshire 48 749 689 624 3 8 South Lanarkshire 126 496 1 777 1 630 2 4 Stirling 35 508 483 578 4 0 West Lothian 64 896 891 866 3 3 All Scotland 2 192 247 31 000 31 333 2 8 Stratification within local authorities As indicated at section 2 4 within local authorities the sample is strati
230. he standard error associated with an estimate produced from a random sample Statistical sampling theory states that on average e Only about one sample in three would produce an estimate that differed from the unknown true value by more than one standard error e Only about one sample in twenty would produce an estimate that differed from the true value by more than two standard errors e Only about one sample in 400 would produce an estimate that differed from the true value by more than three standard errors SHS Lite User Guide Version 1 0 Page 23 By convention the 95 confidence interval is defined as the estimate plus or minus about twice the standard error because there is only a 5 chance on average that a sample would produce an estimate that differs from the true value of that quantity by more than this amount There is no simple rule of thumb for the size of standard errors The standard error of the estimate of a percentage depends upon several things e The value of the percentage itself e The size of the sample or sub sample from which it was calculated i e the number of sample cases corresponding to 100 e The sampling fraction i e the fraction of the relevant population that is included in the sample e The design effect associated with the way in which the sample was selected for example a clustered random sample would be expected to have larger standard errors than a simple
231. he public to participate in the survey A high response rate is generally viewed as one of the key measures of data quality and all other things being equal a high response rate and a large sample should ensure accurate estimates However to the extent that non response to the survey is not spread evenly either geographically or between sub groups of the population the resulting bias will limit the accuracy of the survey s estimates The question of bias is considered by comparing key results from the SHS with comparator data Since the publication of the 2001 Census this source is the most accurate comparator for population data and in spite of being a few years behind the current SHS population measures such as age distribution and household types change little from year to year Achieved interviews and data files The following sections compare SHS data with other sources These comparisons are based on the full 2003 2004 data file containing 30 822 interview records This is made up from Interviews on 2003 2004 sample 30 661 161 interviews carried out on 2001 2002 sample 161 Total 30 822 Household type property type tenure and number of bedrooms Single adult and large adult households are under represented and single pensioner and older smaller households over represented when household types in the 2003 2004 SHS are compared with the Census Table 4 1 17 Scottish Household Survey Fieldwork outcomes 2003 2004 Table 4 1
232. heless participation in surveys is voluntary and some potential respondents refuse to take part Similarly no contact may be made at an address This often reflects combinations of household types single adults of working age lifestyles long working hours active social lives particular types of neighbourhoods and passive refusal reluctance to open doors to strangers Sample performance The first stage in assessing the performance of the sample is to determine the extent to which the sample selected for the survey matches the population from which the sample was drawn Although it is unlikely there is a theoretical possibility that a random sample will be significantly unrepresentative of the population This possibility is increased by clustering the sample as well as disproportionate sampling between local authorities Scottish Household Survey Fieldwork outcomes 2003 2004 The table below therefore assesses the extent to which the sample drawn for 2003 2004 reflects the Mosaic profile of Scotland after taking account of disproportionate sampling Table 2 1 Mosaic profile of sampled addresses and all Scottish households 2003 2004 sample Scotland Urban establishment 12 3 12 8 Burdened borrowers 10 3 10 3 Better off tenants 14 6 14 4 Industrial success 6 6 6 9 Low rise council 9 1 9 0 Council flats 5 8 5 8 Low spending elders 7 9 7 6 Hi rise and tenements 5 5 5 2 Metro lifestyles 9 2 8 8 White collar owners 12 1 1
233. hildren in the household and the relevant local authority weight and scaling the result so that the number of weighted cases is the same as the total number of random schoolchildren about whom the questions were asked Weighting for the selection of a random child receiving childcare In households with more than one child using some form of childcare one child is selected randomly by the CAPI script and questions about the use of childcare are asked in relation to that person This data needs to be weighted to account for the lower probability of each child being selected in households with multiple children The weight for the random child is created by combining the number of children in the household using childcare and the relevant local authority weight and scaling the result so that the 14 Scottish Household Survey Fieldwork outcomes 2003 2004 number of weighted cases is the same as the total number of children about whom the questions were asked Weighting for analysis based on the Travel Diary Examination of the SHS data suggests that significantly fewer interviews take place on Fridays Saturdays and Sundays than on other days of the week As differences in the proportions of adults interviewed on each day of the week will affect the Travel Diary data s representativeness of travel patterns for the week as a whole it was decided to introduce a weight to compensate for this This simply up weights interviews carried out
234. hools RBZK 2523 Good facilities for children RB2L 977 Good neighbours RBZM 7280 Other RB2N 2612 Nothing RB20 ui Q 45 Ui C C E 9 0 O CO X O OO AVVO i QO O0 P c amp o P P9 ce D Total responses 76262 2 220 missing cases 26 007 valid cases SPSS Processor is ready SHS Lite User Guide Version 1 0 Page 85 8 12 3 Multiple Response Crosstab e Select Analyze Multiple Response Crosstabs from the menu bar e Click if necessary to clear existing variables e Select the multiple response set rb2 and click gt to add it as a row variable e Select tenure and click gt to add it as a column variable see Figure 92 Figure 92 Multipe Response Crosstabs E Multiple Response Crosstabs How s rey the 4 bedstand gt 4 fires m ese Hattype cm L alumn s gt insure renurel 7 Cancel 4f proplype a Help b gt ursres ci heg Note 1s displayed initially Mult Response Sets Define Ranges e Enter a minimum value of and a maximum value of 99 see Figure 93 The range of values used should be the variable s actual range of values i e 7 to Note for tenure however using J to 99 will use all the available values of the variable if there are fewer than 99 Figure 93 Define Ranges Multiple Response Crosstabs Define Vari EJ basin Maximum of 99 L ancel Help Page 86 SHS Lite User Guide Version 1 0 The Viewer window now open
235. hostels for the homeless and old people s homes e mobile homes e Sites for travelling people Households in these types of accommodation are included in the survey if they are listed on the Small User file of the PAF and the accommodation represents the sole or main residence of the individuals concerned People living in bed and breakfast accommodation are similarly included if the accommodation is listed on PAF and represents the sole or main residence of those living there otudents term time addresses are taken as their main residence in order that they are counted by where they spend most of the year Since halls of residence were excluded however there will be some under representation of students 2 3 Multiple dwellings There are potential problems associated with the fact that a single entry on the PAF may actually represent multiple dwellings or that a dwelling may contain multiple households For example an address listed as 14 Milton Street may consist of a tenement block containing 8 separate flats Often the existence of these additional addresses is indicated in the PAF in a field known as the Multiple Occupancy Indicator MOI To ensure that such households had an equal chance of inclusion it is necessary to weight the address when drawing the sample Thus 14 Milton Street would appear 8 times In the address listings issued to interviewers such addresses appear as 14 Milton Street 3 of 8 etc with inte
236. households 0 096 Percentage of SHS households 0 096 Descriptor Professional Elites Captains of Industry Manicured Hideaways Grey Affluence Leafy Fringes Newly Built Homes First Time Mortgages Mobile Careerists Brand New Areas Showcase Estates Model Inter War Semis City Terraces Empty Nester Tenants Craft Based Industry Blue Collar Buoyancy Smokestack Survivors Mature Blue Collar De Industrial Legacy Mixed Flats Houses Small Town Poverty Low Density Estates Better Council Flats Poor City Families Welfare Dependency Vertical Villages Self Reliant Elders Sheltered Elderly System Built Schemes Low Income Tenements Shipyard Legacy Young Influentials Multicultural Solos Gentrified Tenements Cosmopolitan Chic Urban Renaissance Upscale Older Villas Middle Class Caution Agricultural Centres Rural Commuters Rural Enterprise Farmers amp Crofters Non Private Housing Totals C10 C11 C12 C13 D14 D15 D16 E17 E18 E19 E20 E21 F22 F23 F24 G25 G27 H28 H29 H30 I31 I32 133 134 I35 J36 J37 J38 J39 K40 K41 L42 of all households 2 1 100 of SHS households 2 2 100 0 The descriptors are those used by Experian and reflect the marketing origins of the MOSAIC classification system 24 SCOTTISH EXECUTIVE STATISTICAL SERVICES Our aim The aim of the Statistical Service is to provide relevant and reliable statistical information
237. hree months 3 Over three months up to six months 4 Over six months up to one year 5 More than one year 6 Continue if RAY is Yes or any of RA10n 1 6 is coded 23 Scottish Household Survey Questionnaire April 2003 to December 2004 RA11AN WHAT KIND OF ACCOMMODATION OR TENURE RA11F FROM WHAT YOU KNOW WHY WERE YOU WERE YOU LIVING IN IMMEDIATELY BEFORE UNABLE TO RECEIVE HELP FROM SOME OF YOU BECAME HOMELESS THE INDIVIDUALS AGENCIES YOU f f om APPROACHED Local Authority or Housing Association Tenancy 1 Private rented tenancy 2 Not eligible for support 1 Tenancy with voluntary organisation 3 Waiting period for support too long 2 Owner occupied property 4 Support not available i e lack of resources 3 Other institution e g care prison 5 Support not available i e unwilling to help 4 Other Write in 6 Available support did not match needs 5 Other Write in 6 RA11BN AND WHAT WAS THE FIRST TYPE OF PERMANENT ACCOMMODATION OR TENURE RA12 IS THERE ANYONE CURRENTLY LIVING IN THIS YOU MOVED INTO AFTER BEING HOMELESS HOUSE FLAT OR STAYING HERE SOMETIMES f Lt BECAUSE THEY HAVE NO HOME OF THEIR Local Authority or Housing Association tenancy 1 OWN OR NO STABLE BASE OF THEIR OWN Private rented tenancy 2 Tenancy with voluntary organisation 3 Owner occupied property 4 Interviewer note this does not include lodgers Other institution e g care prison 5 Yes 1 Other Write in 6 No 2 R
238. i Output SPSS Viewer fc fol Fie Edit View Insert Format Analyze Graphs bilities Window Help salak w 3 Eelk O Bl i Gio 5 5 3 How random adult usually travels to work New banded age of random adult Crosstabulation Mew banded age af randam adult 16 to 30 31 ta 55 BB ta 100 Tatal How random adult Walking Count arg 1358 18 22645 usually travels to within New banded work S 20 496 13 2 16 7 15 4 Count 2032 T102 h4 4198 95 within Mew banded age of random adult Ay 2 B8 7 568 396 52 396 Count 1382 1873 2B 3241 95 within Mew banded age of random adult 32 395 16 1 24 1 272 396 Count 4303 10343 108 14754 25 within Mew banded age of random adult 100 0 100 0 100 0 100 0 5P55 Processor is ready Collapsing categories like this is one way of trying to get around the problem Note when a small number of cases in each cell makes it difficult to detect significant differences Page 78 SHS Lite User Guide Version 1 0 8 10 Example 10 Three Way Crosstab This example shows how the random adult usually travels to work education by banded age of random adult by sex of random adult We are using the new variables rd3new and agerbnd2 We created these variables by recoding rd3 and randage see Sections 8 7 1 and 8 7 2 on pages 62 and 66 e Weight the data using ind_wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recal
239. ident in private households It should be noted however that for reasons of space a handful of household questions are also asked of the random adult These address household events or characteristics which any adult member of the household would be likely to Know about e g recent experience of break ins A simplified version of the questionnaire can be found in the third part of this series Questionnaire The broad topic areas however are as follows In the first half of the interview with the highest income householder or spouse partner respondents are asked about e household composition and characteristics of household members e type of property accommodation e cars in household and access to public transport e children in the household childcare satisfaction with schooling and travel to school e employment status of the highest income householder e household income from employment and other sources e savings and household finances In the second half of the interview with the random adult respondents are asked about their own e housing experiences including homelessness e education qualifications e perceptions of the local area 14 Scottish Household Survey Methodology 2003 2004 e experience of crime and victimisation and fear of crime e travel to work or education e use of private and public transport e travel on the previous day e perceptions of services and local government e experi
240. if HG14 is coded 1 Otherwise go to HG18 HG15 INCLUDING ANY CURRENT SPELL OF UNEMPLOYMENT HOW MANY TIMES IN THE LAST 5 YEARS HAVE YOU BEEN UNEMPLOYED AND LOOKING FOR WORK FOR 4 WEEKS OR MORE Don t know 999998 Hefused 999999 HG16 HOW DID YOU COME TO LEAVE YOUR LAST JOB WAS IT Head out That the job was temporary seasonal 1 If female to have a baby 2 That you they decided to leave 3 That you they were made redundant 4 That you they had to leave because of sickness injury or disability to yourself 5 That you they had to leave because of sickness injury or disability to another member of your household 6 Or that you they were dismissed 7 Retired from work 8 Problems with childcare 9 Other 10 Refused 11 HG17 FOR HOW LONG DID YOU WORK IN THAT JOB Less than 6 months 1 More than 6 months but less than 12 months 2 12 months but less than 2 years 3 2 years but less than 5 years 4 5 years but under 10 years 5 10 years or more 6 Don t know 7 Ask for each who has paid job coded 1 at HG1 or HG5 HG18 A HOW MANY PAID JOBS DID YOU HAVE IN THE WEEK ENDING LAST SUNDAY Jobs Don t know 999998 Refused 999999 HG19 THINKING ABOUT YOUR LAST CURRENT PAID JOB WHAT WAS IS THE NAME OR TITLE OF THAT JOB fp HG20 WHAT DOES DID THE FIRM ORGANISATION YOU WORK ED FOR MAKE OR DO AT THE PLACE WHERE YOU WORK ED Describe fully probe for the manufacturing or proc
241. ifferent respondent THE FIRST PART OF THE INTERVIEW WITH NAME WAS MAINLY ABOUT THE HOUSEHOLD IN GENERAL THIS PART OF THE INTERVIEW IS MORE ABOUT YOU PERSONALLY AND YOUR VIEWS AS AN INDIVIDUAL INTRODUCTION If random adult is the same respondent SO FAR I VE ASKED YOU MAINLY ABOUT THE HOUSEHOLD IN GENERAL THE REST OF THE INTERVIEW IS MORE ABOUT YOU AND YOUR VIEWS AS AN INDIVIDUAL RA ACCOMMODATION RA1 HOW LONG HAVE YOU LIVED AT THIS ADDRESS If less than a year use pre code NENNEN Less than one year 1 If answer at RAT is less than 1 year go to RA2 Otherwise go to RA3 HA2 HOW MANY MONTHS HAVE YOU LIVED AT THIS ADDRESS O Ask RAS if currently owner occupiers coded 1 or 2 at HB5 Others go to RAO RAS DID YOU OR ANYBODY ELSE IN THIS HOUSEHOLD PREVIOUSLY RENT THIS ACCOMMODATION Yes 1 No 2 Don t know 3 If yes 1 go to RA4 Otherwise skip to RA9 RA4 WHO WAS IT PREVIOUSLY RENTED FROM Local authority Council 1 Scottish Homes 2 Housing Association co operative or charitable trust 3 Employer of a household member organisation 4 Another organisation 5 Relative friend of household member 6 Employer of a household member individual 7 Individual private landlord 8 Other 9 RA4B AND DID YOU THEY BUY THIS ACCOMMODATION WITHIN THE LAST YEAR OR WAS IT LONGER AGO Within the last year 1 Longer ago 2 Don t know 3 HA9 HAVE YOU EVER BEEN HOMELESS THAT IS LOST YO
242. igna Randomadut find wt X April 2003 allbn 2003 2004 Housing First permanent accommodation after homelessness o Original Randomadult jind wt X JApril2003 P ralica 2003 2000 9 Housing jramly Original Random adult jind wt April 2003 rallcb 2003 2000 JjHousing Friends Original Random adult jind wt April 2003 P 0 allcc 2003 2004 Housing LAhousing homelessness department Origna Randomadut find wt X April 2003 ralicd 2003 2004 Housing LA social work department Original Random adult find wt X April 2003 P allce 2003 2004 Housng Adviceservice voluntary or statutory Origna Random adult find wt X JApril2003 ralicf_ 2003 2004 Housing Voluntary specialist homelessness accommodation or support agency Orignal Random adult find wt X JApril2003 P ralicg 2003 20004 Housing jHealhcareservices Original Random adult jind wt X April 2003 rallch 2003 2000 X Housing Other Original Randomadut X find wt April 2003 ralldi 2003 2000 Housing jNoneofthese Original Random adult jind wt April 2003 rallda 2003 2000 9 Housing Family Original Random adult jind wt April 2003 alldb 2003 2000 Housing Friends Original Random adult jind wt April 2003 P
243. income that can be obtained from more specialised surveys such as the Labour Force Survey and the Family Resources Survey which have questions and procedures which are designed to obtain much more reliable information on those matters than the SHS can collect The SHS has questions on such topics only for selecting the data for particular groups of people such as the unemployed or the low paid for further analysis or for use as background variables when analysing other topics such as the means of travel or the frequency of driving Although the SHS has a large sample that covers the whole of Scotland it has some geographical limitations because of the sample sizes in small local authorities and because it is designed to be representative only at national and local authority level This means Details of the imputation process can be found in the SHS Annual Report Scotland s People results from the 2003 2004 Scottish Household Survey Raab G MacDonald C amp Macintyre C 2004 Comparison of income data between surveys of Scottish households Research commissioned by Communities Scotland Copies are available on the SHS website or via the SHS Team 18 Scottish Household Survey Methodology 2003 2004 e users need to be mindful of the sampling errors for analysis but especially when this is based on breakdowns within a single local authority e itis not appropriate to undertake geographical analysis below local authority leve
244. ind wt February1999 Economic activity Frequency of random adult driving Derived Random adult ind wt February 1999 From April 2003 original variable for RA Economic activity HIHSICsector Derived Household X a wt X February1999 Economic activity Broad SOC codesforHIH Derived Household la wt X February1999 Economic activity HiHsodalcass ooo ooo Derived Household la wt February 1999 December2002 gt 1 1 1 Economic activity Economic activity HIH NS SEC classification Derived Household la wt lAprl2003 Replaced SEG April 2003 Economic activity Highest educational qualification Derived Random adult find wt February1999 Economic activity Highers or equivalent Derived Random adult find wt X Februay1999 1 Economic activity HiH Hours worked Derived Household la wt X February1999 Economic activity HiH Hours worked banded Derived X Household a wt X February1999 Economic activity O Grade or equivalent Derived Randomadult find wt X February1999 Economic activity Has any qualifications i eerived Random adult find wt X February1999_ Economic activity Professional qualifications Derved Random adult find wt February1999_
245. interviewing as few respondents as practical in each PSU e stratifying the PSU selection by status measures because within a stratified survey the variation between PSUs is examined separately for each stratum affluent areas are compared with similar areas and poorer areas are compared with others and design effects are reduced The approach is therefore to aim for an average of 11 achieved interviews per PSU in order to have a minimum of about 50 PSUs within each local authority The use of stratification by Scottish MOSAIC also has the effect of reducing the extent of variability within each stratum and thus limiting the size of the design effect Although it was impossible to predict design factors accurately without knowing the exact topic coverage and the variability of response it was envisaged that for most variables the design factors would be in the range 1 1 1 2 for the survey as a whole 2 6 Procedures for dealing with very small enumeration districts There is a further issue relating to enumeration districts EDs that are too small to sample from It would for example have been undesirable and impractical to try to obtain 11 or 12 interviews from an ED containing only 30 households because of the impact on variance between households within the PSU the possibility of potential respondents discussing the survey and the practical difficulty of obtaining sufficient numbers of interviews Two questions therefore arise
246. ion Scottish Household Survey Fieldwork outcomes 2003 includes information about response rates weighting factors establishing the quality of the SHS results by comparing them with those of the Census and other surveys the survey s design factors and complex standard errors Scottish Household Survey Questionnaire April 2003 to December 2004 shows all the questions apart from repetitive details within the Travel Diary and sections which identify and correct errors to whom they relate and the circumstances in which certain questions are not asked Scottish Household Survey Questionnaire April 2003 to December 2004 2 Questionnaire for 2003 2004 The following pages contain an edited version of the questionnaire for the 2003 2004 Scottish Household Survey SHS derived from the computerised script for the survey There were two versions of the questionnaire used in 2003 The first three months of 2003 continued to use the script from 2002 Changes to the questionnaire were introduced in April 2003 The 2002 script was published with the Technical Report for 2001 2002 and can be accessed on the Scottish Executive web site The questionnaire in this document was used for the period April 2003 to December 2004 Question numbers in the script and variable names in the data In most cases the question number used in the script matches the relevant variable in the data However where there are multiple parts to a question or the q
247. ion on a quarterly basis and some of the variables measured by the survey are likely to exhibit seasonal patterns e g rates of economic activity modes of transport The procedure for allocating PSUs to months of the year is derived from that developed by the Office for National Statistics ONS in managing the Family Expenditure Survey FES and differs only in the need for the SHS sample to be spread evenly across 24 rather than 12 months This approach operates in the following way Firstly a full listing is prepared of the PSUs drawn as part of the two year sample These are listed by local authority and then by MOSAIC type within local authority Secondly this is split into random yearly allocations Thirdly within each year the listing of PSUs is then labelled with a random permutation of the numbers 1 to 12 representing the twelve months covered by the fieldwork This permutation is generated with certain properties to avoid bunching of interviews within particular quarters e the first four months are from different quarters e every subsequent month is from the same quarter as the one four places before The example given by ONS and used to allocate the 1996 FES is as follows i See C Lound Allocating primary sampling units for annual surveys to months of the year Survey Methodology Bulletin No 39 July 1996 11 Scottish Household Survey Methodology 2003 2004 Table 2 2 Procedure for allocating PSUs by
248. ionnaire April 2003 to December 2004 RE10E TOWHAT EXTENT DO YOU AGREE OR DISAGREE WITH EACH OF THE FOLLOWING STATEMENTS GENERALLY WHEN USE THE TRAIN RE10E2A RE10E2K Statements The trains are on time The trains are frequent The service runs when need it The service is stable and isn t regularly changing The trains are clean The trains are comfortable feel personally safe and secure on the train It is simple deciding the type of ticket need Finding out about routes and times is easy It s easy changing from train to other forms of transport The fares are good value Response options Strongly agree 1 Tend to agree 2 Neither agree nor disagree 3 Tend to disagree 4 Strongly disagree 5 No opinion 6 CARPLAN IWOULD LIKE YOU TO THINK ABOUT THE JOURNEYS YOU HAVE MADE BY CAR VAN OR MOTORCYCLE OR BICYCLE IN THE LAST MONTH OR SO WHICH IF ANY OF THESE HAVE YOU DONE TO PLAN A JOURNEY BEFORE SETTING OUT Looked at a road map 1 Asked a friend 2 Telephoned the AA or RAC 3 Contacted the venue attraction you are visiting 4 Used route planning software or a journey planner on the Internet 5 Used Transport Direct internet portal 6 Checked Teletext Ceefax for roadworks congestion 7 Never planned ahead relied on road signs 8 Never go out housebound 9 None never go to unfamiliar places 10 None someone else plans the route for me 12 haven t made journeys by car van moto
249. isplay the Cells dialog box see Figure 113 e Select the column percentages option Continue e Select to return to the Crosstabs dialog box 0 e Select The Viewer window now opens to display the Crosstab table see Figure 114 Figure 113 Cell Display dialog box Crosstabs Cell Display Counts Continue W Observed Expected Cancel Help Percentages Residuals Unstandardized Standardized Total Adi standardized Column Percentages option Figure 114 How often respondent recycles reduced rf5 by Number of cars household has access to Output SPSS Viewer Sele File Edit View Insert Format Analyze Graphs Utilities Window Help alal S E2 allel l El gt aol alse How often respondent recycles reduced rf5 Number of cars household has access to Crosstabulation Number af cars household has access to Total How ofen respondent Frequent 838 2352 1373 4573 Infrequent 38g 1045 5T8 2027 2934 3010 1194 T138 Total 4171 Bad 3145 13733 SP55 Processor is ready Page 98 SHS Lite User Guide Version 1 0 This table shows the relationship of recycling and car access more clearly but there might be other factors that influence the relationship To explore this further we want to create a new variable that combines the frequency of recycling and household access to a car that we can then use for further analysis The variables numcars and recycle both have 3 possi
250. isqualified from driving 3 Licence suspended on medical grounds 4 Never held a UK driving licence 5 Did not reapply for licence at age 70 6 Ask RD1 if employed or self employed coded at HA7 otherwise go to only ask just before RD2 Ask for the postcode or the address of most recent place of work if person says it varies or not working at present 27 Scottish Household Survey Questionnaire April 2003 to December 2004 RD1 WHAT IS THE POSTCODE OF THE PLACE WHERE YOU WORK INTERVIEW PROBE IF FULL POSTCODE NOT KNOWN PLEASE TELL ME ANY PART OF THE POSTCODE THAT YOU DO KNOW AND THE NAME AND ADDRESS OF EMPLOYER Interviewer this is so we can calculate distance from home Organisation shop Postcode Number street road District area Post town city Work at or from home 1 Works at sea or off shore 2 Works outwith Scotland but not at sea offshore 3 FLEX1 DO YOU WORK FLEXIBLE HOURS OR FLEXI TIME THIS IS WHERE YOU CAN VARY THE TIMES WHEN YOU START AND FINISH WORK WITHIN LIMITS AND CHOOSE TO WORK LONGER ON SOME DAYS AND TAKE OTHER DAYS OFF Yes 1 No 2 Ask FLEX if RD1 is not coded 1 FLEX ARE SOME OF YOUR WORKING HOURS SPENT AT HOME Yes 1 No 2 Continue if RD1 coded 1 or FLEX coded 1 Otherwise go to FLEXCAR RD1B WHICH OF THE FOLLOWING BEST DESCRIBES HOW YOU WORK IN A NORMAL WEEK READ OUT work only at home 1 work mainly at home but sometimes work elsewhere 2
251. k RB4H2 Others go to RB8N RB4H2 SHOW CARD REGARDLESS OF WHETHER THEY WERE ABLE TO SOLVE IT WERE YOU SATISFIED OR DISSATISFIED WITH THE WAY THE COUNCIL RESPONDED TO YOUR PROBLEM Satisfied 1 Dissatisfied 2 Neither 3 No opinion 4 RB8N MOST OF US WORRY AT SOME TIME OR OTHER ABOUT BEING THE VICTIM OF A CRIME USING ONE OF THE PHRASES ON THIS CARD COULD YOU TELL ME HOW WORRIED YOU ARE ABOUT THE FOLLOWING HOW WORRIED ARE YOU ABOUT RB8NA RB8NH Having your home broken into and something stolen Being mugged and robbed Having your car stolen Having things stolen from your car Being sexually assaulted or raped Being physically attacked or assaulted in the street Being insulted or pestered by anybody while in the street or any other public place Being subject to a physical attack because of your skin colour ethnic origin or religion Response options Very worried 1 Fairly worried 2 Not very worried 3 Not at all worried 4 Not applicable 5 RB8BN HOW MUCH IS YOUR OWN QUALITY OF LIFE AFFECTED BY FEAR OF CRIME ON A SCALE FROM 1 TO 10 WHERE 1 IS NO EFFECT AND 10 IS A TOTAL EFFECT ON YOUR QUALITY OF LIFE 1 No effect 1 2 2 3 3 4 4 5 5 6 7 8 9 10 Total effect 10 HB8D IN THE LAST YEAR HAVE YOU PERSONALLY BEEN A VICTIM OF ANY KIND OF PHYSICAL ASSAULT ATTACK OR MUGGING IN THIS NEIGHBOURHOOD IF YES HOW MANY TIMES HAS THAT HAPPENED Ld None 999992 Can t remem
252. king with older people Origna Random adult jind wt X January2000 1 O fl2ab2 1999 2000 Community involvement Working with people with disabilities Origma Randomadut jind wt X January2000 1 O flaco 1999 2000 Community involvement Working with vulnerable people eg Women s refuge AIDS charities foster organisations Original Randomadult ind wt X January2000 O rflzad2_ 1999 2000 Community involvement Working in support ofthe environment Origna Randomadut jind wt X January2000 O rfl2ae2_ 1999 2000 Community involvement Providing adult education Original Random adult jind wt X January2000 1 O fl2af2 1999 2000 Community involvement Working in the area of health eg hospices hospitals clinics projectts Original Randomadult find wt X January2000 O fl2ag2 1999 2000 Community involvement Providing advice eg Citizens Advice Origna Random adult jind wt X January2000 1 O fl2ah2 1999 2000 Community involvement Working with animals Original Random adult jJind w X Januay2000 O fl2ai2 1999 2000 Community involvement Political Party Original Random adult jJind wt X Januay2000 O rfl2aj2_ 1999
253. know 98 Statutory Maternity Pay 1 2 3 Refused 97 Widow s Pension or Parent s Allowance 1 2 3 HH64 WHAT PERIOD DID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 Don t know 98 20 Scottish Household Survey Questionnaire April 2003 to December 2004 Continue if coded don t know for any benefits at HH61 or HH63 Others go to HH67 HH65 YOU HAVE SAID THAT YOU ARE NOT SURE HOW MUCH YOU RECEIVED IN ONE OR MORE OF THE BENEFITS ADDING ALL OF THE BENEFITS ON THESE TWO CARDS TOGETHER HOW MUCH DID YOU AND YOUR PARTNER RECEIVE IN TOTAL LAST TIME YOU RECEIVED YOUR BENEFITS If both respondent and partner receive add two together Enter to nearest NENNEN Don t know 98 Refused 97 HH66 WHAT PERIOD DID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 Don t know 98 ASK ALL HH67 DO YOU OR YOUR PARTNER RECEIVE ANY OTHER REGULAR INCOME OR PAYMENT FROM ANY SOURCES ON THIS CARD Yes 1 No 2 Don t know 3 Hefused 4 Continue if HH67 coded 1 Otherwise go to HI1 HH68 FROM WHICH OF THESE SOURCES WHICH OTHERS Code all that apply Occupational employer non State pension s 1 Benefit from annuity
254. l Random adult nd wt January 2002 3 el3 1999 2000 Neighbourhoods Have you been injured in a road accident in the past year Original Randomaduit ind wt February 1999 December2002 1 1 1 1 1 1 badg age 1999 2000 X Transprt Ageof youngest holder of Orange Blue badge in household Derived Household la wt X jFebruay1999 J 0 badgband 1999 2000 Transprt Bandedage of youngest Orange Blue badge holder Derived Household l wt X February 1999 0 1 cardepa 2003 2004 Transpot Use of car for shopping for small amounts offood Original Random adult nd wt Aprl2003 1 0 0 0 0 cardepb 2003 2004 Transprt Use of car for supermarket shopping Original Random adult nd wt X April 2003 1 1 1 cardepc 2003 2004 Transprt Use of car for town centre shopping Original Random adult nd wt X Aprl2003 1 1 1 cardepd 2003 2004 Transprt Use of car for leisure evenings out Original Random adult nd wt X Aprl2003 1 1 0 0 cardepe 2003 2004 Transpot Use of car for visiting friends andrelatives Original Random adult nd wt X Aprl2003 1 0 1 cardepf 2003 2004 Transprt Use of car to see GP 1 1 1 j Origna Random adult nd wt X Aprl2003 1 0 0 cardepg 2003 2004 Transport
255. l Random adult jJind w Januay2000 O fl2bq2 1999 2000 Community involvement Other charity Original Random adult jJind w X Januay2000 O fl2ca2 1999 2000 Communityinvolvement X Fundraising Original Random adult jJind wt X Januay2000 O fl2ch2 1999 2000 Community involvement Management committee Original Random adult jJind wt X Januay2000 O rfl2cc2_ 1999 2000 Community involvement Providesome kind of service Origna Random adult jind wt X January2000 1 O rfl2cd2_ 1999 2000 Community involvement Help with campaigning Original Random adult find wt Januay2000 O fl2ce2 1999 2000 Community involvement X Help with administration Original Random adult find wt X January2000 1 O rfl2cf2_ 1999 2000 Community involvement Other Original Random adult find w Januay2000 O ifl2d2 1999 2000 Community involvement Hoursofvoluntary activity Origna Random adult jind wt X January2000 1 O volhouurs 1999 2000 Community involvement Banded number of hours spent volunteering Derived Randomadut jind wt X January2000 O Economic activity First or higher degree Derived Random adult f
256. l Value 2 00 Value Label Two or more 00 Mane 11 00 One Ehange Change Page 96 SHS Lite User Guide Version 1 0 Figure 111 All changes made Value Labels Value Labels LIE L ancel Leg Help We are now going to create a crosstab to show how often respondent recycles reduced rf5 recycle by our modified number of cars household has access to numcars e Weight the data using ind wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recall button if you have previously used Crosstabs e Click if necessary to clear existing variables e Select recycle and click gt to add it as a row variable see Figure 112 e Select numcars and click gt to add it as a column variable Figure 112 recycle and numcars added as row and column variables Bl Crosstabs 4 uniqid Rawls at db lamt D g recycle Ese 4 rand ak Heset ee Colurnn st kid ok n m d niumcars Cancel a dear gt Help 4 dateint Layer 1 of 1 4 month 4 year Previous Hes AL la 4b shs Bcla 4 newrural ni Display clustered bar charts Suppress tables Statistics Cells Format For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so we will use only column percentages SHS Lite User Guide Version 1 0 Page 977 e Select to d
257. l button if you have previously used Crosstabs e Click if necessary to clear existing variables e Select rd3new and click gt to add it as a row variable see Figure 83 e Select agerbnd2 and click L to add it as a column variable e Select randsex and click gt to add it as a layer variable Figure 83 rd3new agerbnd2 and randsex added as row column and layer variables Il Crosstabs 4 unigid d la wt 4 rand ak d ind wt d kid ok d kid wt gt dyear gt dateint 4 month 4 year At la 4 shs Bcla 4 newrural Haw s DK gt g rd 3new ae eset Colurnn s 4 agerbnda Lancel L T Layer 1 of 1 Next gt randsex Im Display clustered bar charts Statistics Cells Format Suppress tables For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so we will use only column percentages e Select to display the Cells dialog box see Figure 84 e Select the column percentages option SHS Lite User Guide Version 1 0 Page 79 Cont e Select to return to the Crosstabs dialog box e Select The Viewer window now opens to display the Crosstab table see Figure 85 It is adviseable to save your output within this viewer window in order to complete the following illustrative example Alternatively you could simply leave this window OPEN and switch to the data file Figure 84 Cell Display dialog box Crosst
258. l since the sampling techniques used in some local authorities cannot guarantee representativeness in smaller areas 4 1 Quarterly data for Scotland as a whole The SHS was designed to provide results which are representative for Scotland as a whole for each quarter of the year Although based on a large sample nearly 4 000 households per quarter they are still subject to sampling errors so may well fluctuate from one quarter to the next Therefore apparent quarter to quarter changes should be interpreted cautiously as they may well be due to sampling variability rather than representing genuine change This can be seen if one looks at the apparent quarter to quarter changes in some figures which one would expect to change only gradually from one quarter to the next especially figures which show trends that one would not expect to be subject to short term reversals The SHS s quarterly Statistical Press Notices provide a set of quarterly tables and charts Examples of two of these which were published in Spring 2005 appear on the following pages The first example shows quarter by quarter since the survey started the weighted percentages of households in the sample with various numbers of cars available for private use the second shows quarter by quarter figures for household tenure In both cases the quarterly charts and tables show the kinds of long term trends that one would expect e g a gradual increase in two car househol
259. lating to one single stage journey is included here There are also questions catering for multi stage journeys and journeys which involve a series of calls A full set of the questions in the travel diary is available from the SHS Project Manager on request Any changes to the questionnaire between 2002 and 2003 are indicated in bold in the text to highlight which variables have changed The question number is also highlighted The routing given in this script is a much simplified version of the very complex computer assisted personal interviewing CAPI programme used for the survey For example there are many places where the CAPI script checks the credibility of an answer to a question produces an error message if the interviewer has made an invalid entry or combination of entries and requires that the error be dealt with before proceeding The script also produces warning messages in http www scotland gov uk library5 finance svp8 00 asp Scottish Household Survey Questionnaire April 2003 to December 2004 some cases where a response appears very improbable e g if the interviewer has recorded that a household has more than five cars in which case the interviewer can either confirm the entry or go back and key in the correct value Users of the data are advised to consult the full CAPI script for the detail of the more complex routing in circumstances where the basic script given here does not fully explain the routing involved Scot
260. ld has access to oo Derived Household la wt X February1999 pass co 1999 2000 Transprt People with a bus rail company pass Derived Household la wt X February1999 pass la 1999 2000 Transprt jPeoplewith a LA SPTE concessionary pass Derived Househod la wt X February1999 lpass oth 1999 2000 Transprt People with another concessionary fare pass Derived Househod la wt X February1999 passnone 1999 2000 Transprt jPeople with no concessionary fare pass Derived Househod la wt X February1999 1 7 O lpassrail 1999 2000 Transprt JPeoplewiharailcard Derived Household la wt X jFebruay1999 7 O iptplana 2003 2004 Transport jAskedafr end Original Random adult jind wt April 2003 iptplanb 2003 2004 Transprt TelephonedTraveline Original Random adult jind wt X JApril2003 P iptplanc 2003 2004 Transprt Timetable delivered through your door picked up at stations Original Random adult jind wt X JApril2003 P lptpland 2003 2004 Transprt Timetable displayed at stations and stops Origna Random adult
261. ld questioned is a separate case e Columns are variables For example each item on a questionnaire is a variable If you position the mouse over a variable name a more descriptive variable label is displayed if one has been defined see Figure 2 for illustrative boxes Note Page 8 SHS Lite User Guide Version 1 0 Figure 2 Data View displaying Values shs lite reduced flat file 180204 sav SPSS Data Editor File Edit View Data Transform Analyze Graphs Utilities Window Help S 3 l gt A El Ets BLO dateint Variable Label aga h3 h2 P2 R2 R2 2 Mp 2 ho o 0 46 0400 u 1 gt 15 Ceo 4 A ll 4 Ca h3 Figure 3 Data View displaying Value Labels 1 unigid 10001 00001 unigd rand ok month year la shs Bcla nen 4 1000100001 1 27 1 00 1 50 00 aera 00 2000 00 P 1 1000100002 127 1 00 1 50 oo Date of interview D0 2000 00 P 1 1000100003 ior 1 00 75 oo 200 05 01 00 1 00 2000 00 P 1 1000100004 1 27 1 00 75 00 2 00 05 01 00 1 00 2000 00 P 1 1000100005 1 21 1 00 B5 oo l 200 05 01 00 1 00 2000 00 V 1 1000100006 121 1 00 1331 1 00 1 20 200 0501 00 1 00 2000 00 V 1 1000100007 1 13 1 00 57 00 2 00 05 01 00 1 00 2000 000 2 1000100008 113 1 00 1 15 oo 2 00 05 01 00 1 00 2000000 2 1000
262. ld value s System ar user missing Old New f Range t Range First Old Value Range option Output variables are strings showing 16 through 30 m f All other values Continue Cancel Help e Repeat using the Old Value Range of 51 through 65 and New Value of 2 Click AM e Repeat using the Old Value Range of 66 through 00 and New Value of 3 Although the Old and New Values dialog box will allow you to say 66 through highest for Group 3 this is not recommended Values of 99999 and similar are often used for responses like refused or don t know and these might be included in your recode The best way to avoid this is to produce a frequency of AGERBAND and see what the highest real value is for the variable and use this to set the range of values to be used in the recode e Click Add see Figure 58 e Click to return to the Recode dialog box Click on the keyboard to navigate to it Figure 58 All old values have been assigned new values Recode into Different Variables Old and New Values Old Value New Value Malue y Value System missing System missing Copy old value s System ar user missing Old gt New Range ss 16 thru 30 1 31 thru B5 gt 2 through RES c c1 t Range Output variables are strings All 3 ranges added Range t Al other values Continue Cancel Help SHS Lite
263. le m Ask RE10C if RE10B is not coded 7 Too infrequent 10 Health reasons 11 RE10C TO WHAT EXTENT DO YOU AGREE OR Difficult access on off steps 12 DISAGREE WITH EACH OF THE FOLLOWING TOomnuchtocarrviawkweard 13 STATEMENTS GENERALLY WHEN I USE THE Uncomfortable y 14 BUS RE10C2A RE10C2K N need 15 Statements Prefer to walk 16 The buses are on time Dislike waiting 17 The buses are frequent Long walk to bus stop 18 The service runs when I need it Live centrally within walking distance 19 The service is stable and isn t regularly changing Use buses all the time 20 The buses are clean Other The buses are comfortable feel personally safe and secure on the bus RE10D HOW OFTEN HAVE YOU USED A TRAIN SERVICE It is simple deciding the type of ticket need IN THE PAST MONTH IF AT ALL NB THIS DOES Finding out about routes and times is easy NOT INCLUDE THE UNDERGROUND IN It s easy changing from buses to other forms of transport GLASGOW OR LONDON The fares are good value Every day 1 Almost every day 2 Response options 1 Two or three times per week 3 rong y agree M About once a week 4 ee ea ae 2 About once a fortnight 5 Neither agree nor disagree 3 Abcut onesaqnonth 6 ZENONO disagree 4 Not used the local train service in the previous month 7 Strongly disagree 5 No opinion 6 Ask RE10E if RE10D is not coded 7 Ask RE12 if RE10B coded 4 to 7 infrequent bus users 31 Scottish Household Survey Quest
264. licking the button 4 3 Display Variable Names in Dialog Boxes By default SPSS displays Variable Labels in dialog boxes instead of Variable Names see Figure 7 and Figure 8 on page 15 You may want to change this setting because it can be much easier to select the variable by viewing the name rather than its lengthy label To change this you need to set the options in SPSS as follows e Select Edit Options from the menu bar see Figure 6 e Choose the General tab e Within Variable Lists select the Display Names option e Click e Click again to accept these changes Page 14 SHS Lite User Guide Version 1 0 Figure 6 The Options dialog box Options Data Currency Scripts General Tab Viewer Draft Viewer Output Labels Charts Interactive Pivot T ables m Variable Lists 4 Output Variable Lists options t Display labels f Display names M B scientific natation For small numbers Alphabetical File BaD r Session Journal Viewer Type at Startup M Record syntax in Journal Regular C Drait f Append C Dwerwrite 2 Measurement System P int CAWINDOMWS STEMPSspss nl Mit EE Browse Language Engish Notification C 20034024L0 LALS 71 Temp iY Raise viewer window M Scroll to new output Recently used file list E Sound None System beep C Sound Browse Temporary directory Open syntax window at start up Figure 7 Frequencies dialog box showing Labels lll
265. ling 2003 2000 Housing None ofthese 1 Origna Randomadult ind wt X lAprl2003 ral2 2001 2002 Housing jEverhadtosleep rough because of homelessness 1 Orignal jRandomadult ind wt jJanuary2001 December2002 CC ral2a 2001 2002 Housing Have you ever had to sleep rough because you were homeless Original Randomadult ind wt january2001 Aprl2003 1 11 Anyone living in house flat because they homeless Original Random adult jid wt X Aprl2003 Cd ral3 2001 2002 Housing jLookingto move out of current household Original X Random adult ind wt January 2001 J ral4 2001 2002 Housing How long looking for separate home 1 jOrigna X jRandomadult ind wt January 2001 J ral5 1 2001 2002 Housing Name on waiting list Council Orignal Random adult id wt January 2001 ral5 2 2001 2002 Housing Name on waiting list Housing Association Original X jRandomadult id wt January 2001 J ral5 3 2001 2002 Housing Name on waiting list Refused answer Original X jRandomadult
266. ll RH1 if not asked in part one HH1 I WOULD NOW LIKE TO ASK YOU SOME QUESTIONS ABOUT PAID WORK DID YOU DO ANY PAID WORK IN THE WEEK PRIOR TO LAST SUNDAY EITHER AS AN EMPLOYEE OR AS SELF EMPLOYED Yes 1 No 2 Hefused 3 Ask RH2 if RH1 is coded 2 otherwise skip to RH18 HH2 LAST WEEK THAT IS THE SEVEN DAYS PRIOR TO LAST SUNDAY WERE YOU ON ANY OF THE FOLLOWING SCHEMES Read out Youth Training YT 1 New Deal including on the Gateway 2 Training for Work 3 Any other kind of scheme 4 None of these 5 If RH2 coded 1 to 4 continue Otherwise skip to RH4 HH3 MAY JUST CHECK WAS THAT Read out A scheme in Scotland run by a Local Enterprise Council 1 Or was it some other scheme 2 Don t know 3 HH4 IN THE WEEK ENDING LAST SUNDAY DID YOU DO ANY PAID WORK OR HAVE ANY OTHER PAID JOB OR BUSINESS IN ADDITION TO THE GOVERNMENT SCHEME S YOU HAVE JUST TOLD ME ABOUT Yes 1 No 2 Ask those not on a scheme and not done paid work in last 7 days Otherwise skip to RH18 HH5 DID YOU HAVE A JOB OR BUSINESS THAT YOU WERE AWAY FROM Yes 1 No 2 If RH5 is coded 2 continue others go to RH18 RH6 DID YOU DO ANY UNPAID WORK IN THAT WEEK FOR ANY BUSINESS THAT YOU OWN OR THAT A RELATIVE OWNS Yes own business 1 Yes relative s business 2 Neither 3 RH7 THINKING OF THE FOUR WEEKS PRIOR TO LAST SUNDAY WERE YOU LOOKING FOR ANY KIND OF PAID WORK OR GOVERNMENT TRAINING SCHEME AT ANY TIME IN
267. lues Continue Cancel Help e Select the first Old Value Range option again and specify the values 4 through 5 see Figure 65 e For the New Value enter 3 see Figure 65 e Click see Figure 66 e Click to return to the Recode dialog box Click Note The new variable will be displayed at the end of the dataset Figure 65 Using the Range through option Old Value t Value is Suystem missing 5ystememissing Copy old values System ar user missing Old Mew f Range 1 1 4 through 15 o 2 thru 3 2 First Old Value Range option Output variables are strings e showing 4 through 15 All other values Continue Cancel Help Page 68 SHS Lite User Guide Version 1 0 Figure 66 All old values have been assigned new ones Recode into Different Variables Old and New Values Old Value Mew Value Value r Value System missing Sustem missing f Copy old value s System or user missing Old gt Mew 3 7 2 thru 3 3 2 through 4thru 15 gt 3 Range Bemeve f Range Output variables are strings em All other values Continue Cancel Help We are now going to assign Value Labels for the rd3new variable Select the Variable View tab LL Data view Variable View f e Scroll down to the rd3new variable rd3new will be displayed as the last variable in the list You can press CTRL V on the keyboard to navig
268. lyze Graphs Utilities Window Help S amp 5 I a e SIRI Slo Name Type Width Label Values Missing Columns Align Measure 1 unigid Numeric 10 0 Unique identifi None None 10 Right Scale la wt Numeric 10 2 Local authority None None IB Right Scale rand_ok Numeric 8 2 Complete inter 1 00 Complet None 8 Right Ordinal 4 ind wt Numeric 40 2 Individual weig None None 8 Right Scale B5 kid ok Numeric B 2 Whether there 00 No valid r None 8 Right Scale B kid wt Numeric 8 2 Random schoo None None 8 Right Scale dyear Numeric 8 2 Data year sur 1 00 1999 dat None 8 Right Scale B dateint Date 110 lo Date of intervie None None 8 Right Scale 9 menth Numeric 11 2 Month of intervi None None 8 Right Ordinal 10 year Numeric 15 2 Year of intervie None None 8 Right Ordinal la String 8 lo Local authority 1 South Ayrs None 8 Left Nominal shs_6cla Numeric 43 D Urban rural cla 1 Large urban None 8 Right Ordinal newrural Numeric 8 2 Revised 8 cla 1 00 Large ur None 8 Right Scale 14 numbhh Numeric 8 l2 How many peo 1 00 TE None 8 Right Ordinal 15 totads Numeric 10 2 Number of adul None None 8 Right Scale 16 totkids Numeric 10 2 Total number o None None i8 Right Scale hhtype Numeric 40 l2 Household typ K DO Single a Non
269. m adult ind wt February 1999 December2002 1 1 1 11 1 Local council Contacted Council about Street lighting fOrignal Random adult ind wt February 1999 December2002 1 1 11 Local council Contacted Council about Street cleaning dog fouling fOrignal Random adult ind wt February 1999 December2002 1 rfihn 1999 2000 Local council Contacted Council about Road repairs pot holes Original Randomadult ind wt February 1999 December 2002 CC rfli 1999 2000 Local council Contacted Council about Pavements jOrignal X jRandomadult ind wt fFebruary 1999 December 2002 CC Local council Contacted Council about Winter maintenance 1 Original Random adult ind wt February 1999 December2002 1 rflk 1999 2000 Local council Contacted Council about Trading standards Original jRandomadult ind wt fFebruary1999 December 2002 CC fil 1999 2000 Local council Contacted Council about None of these Orignal jRandomadult ind wt February 1999 December 2002 CC Local council Satisfaction with contact re refuse Original Random adult ind wt February 1999 December2002
270. m the menu bar or click e Select the a variable and take note of Clackmannanshire value If you scroll down through the list of values in the variable information box you will find that F is used for Clackmannanshire e Select Figure 45 la variable information Note MS Variables Varable Information la Label Local authority identifier Type Ag Missing Values none Measurement Level Nornnal Value Labels 1 South Ayrshire 2 South Lanarkshire west 4 west Dunbartonshire UNEME ya Ues A West Lothian b Western Isles Go To Paste Close Help To select the Clackmannanshire cases e Select Data Select Cases from the menu bar or click i e Select the If condition is satisfied option see Figure 46 SHS Lite User Guide Version 1 0 Page 53 Figure 46 Select Cases All cases option ll Select Cases Select t All cases f condition is satisfied 4 If condition is satisfied option Random sample of cases Based on time or case range Use filter variable gt shs Bcla gt newrural g numbhh 4 tatads LInzelected Cases Are totkids 3 f Filtered t Deleted Current Status Do nat filter cases click Le e Select the a variable and click gt e Click Le and then type F for Clackmannanshire s value see Figure 47 Note All text entered must be enclosed in double quotes Figure 47 Local authority equal to Clack
271. mannanshire Select Cases If la Fy ABS numexpr a ANY test value value as 1 212 ARSIM numexpr alil 80 ARTAM numespr lt LDFNORHM zvalue L _Delete CDF BERMDULLIIg p la variable 4 shs Bcla v Continue Cancel Help xx e Click to return to the Select cases dialog box e Click Page 54 SHS Lite User Guide Version 1 0 In Data View all cases where the local authority does not equal Note Clackmannanshire are now displayed with a diagonal line through 3 the case number If you now create the crosstab table in Example 4 which starts on page 51 you will see the following results Figure 48 How random adult usually travels to work education by Banded age in Clackmannanshire i Output1 SPSS Viewer File Edit wiew Insert Format Analyze Graphs Utilities Window Help S S S Elk gt DIG 31513 How random adult usually travels to work education Banded age of random adult Crosstabulation How random Walking adult usually travels to workeducation Driver car van Passenger carvan Bicycle School bus Works bus Ordinary service bus Taxi minicab Count within Banded age of random adult Count within Banded age of random adult Count within Banded age of random adult Count within Banded age of random adult Count within Banded age of random adult Count within Banded age of random adult Count wi
272. md04dec IMD deciles xternal April 2003 y MDO4PC15 IMD most deprived 15 ternal po April 2003 MDO4QUIN IMD quintiles ternal April 2003 y mos00 47 osaic types ternal anuary 2000 Mosaic classification changed mosaicOO Mosaic groups 10 xternal anuary 2000 Mosaic classification changed newrural Revised 8 class rural urban indicator xternal ebruary 1999 numbhh How many people are there in your household including any children or babies riginal la wt ebruary 1999 numgen Number of generations in household Derived ebruary 1999 randage Age of random adult Derived ebruary 1999 randecon andom adult economic status Derived ebruary 1999 Derived Random adult 6892 December 2002 erived Random adult ebruary 1999 xternal PCS April 2003 eS y randeth1 2001 2002 Demographics Ethnic group of random adult HEC EMI isd xternal pril 2003 en sd a sd randsex Sex of random adult rurfroz6 Frozen 6 fold urban rural classification using 2003 settlement file rurfroz8 Frozen 8 fold urban rural classification using 2003 settlement file samesex Whether couple of same or opposite sex oimimio m m mim mj m erived ebruary 1999 shs 6cla rban rural classification Derived ebruary 1999 sip IP area of respondent Derived ebruary 1999 sp ethl thnic group of HIH spouse Derived la wt anuary 2001 December 2002 sp stat arital status of the HI H s spouse Derived ebruary 1999 spage ge of HIH spouse partner
273. mes document 2 2 Accuracy and completeness In local authorities where clustered sampling is used Enumeration Districts EDs are used as the Primary Sampling Units PSUs as is described in a later section In some cases particularly in areas subject to sizeable population change entire EDs have sometimes been demolished since the PAF was last updated To accommodate this the MORI Sampling Unit arranges for a substitute PSU to be drawn from the remaining pool of EDs within the same local authority area and with the same MOSAIC type see Appendix 1 for each ED found to be unusable In areas where random sampling is used the full sample for the survey is drawn for each two year fieldwork period in advance and so may exclude households in newly built housing entering the PAF during the period of the survey However data suggests that new housing accounts for only around 1 of the housing stock in any year Moreover the impact of this is further reduced by the fact that new properties are often entered onto the PAF some time before they are actually completed This should not be a problem in areas of clustered sampling because although the PSUs are selected for two years at a time the actual address lists are not drawn until nearer the time of the fieldwork One further point relating to the accuracy of the PAF is that some postcodes straddle the border with England and it is possible for Scottish addresses actually to be in England
274. month of fieldwork Position in list Month Quarter 1 13 25 etc 10 4 2 14 26 etc 8 3 3 15 27 etc 5 2 4 16 28 etc 1 1 5 17 29 etc 11 4 6 18 30 etc 7 3 7 19 31 etc 4 2 8 20 32 etc 2 1 9 21 33 etc 12 4 10 22 34 etc 9 3 11 23 35 etc 6 2 12 24 36 etc 3 1 As this sequence can be added automatically to the sampling procedures for the survey no time is spent manually assigning PSUs to particular months The same approach is applied to the sample for the SHS 2 10 Respondent selection As the survey is intended to collect information both about the structure and characteristics of Scottish households and about the people who occupy those households the interview has a two part structure The respondent for the first part of the interview is the Highest Income Householder or their spouse or partner For the second part of the interview one adult aged 16 member of the household is selected at random by the CAPI script If this person is not available at the time the interviewer will call back to complete the interview at a later date if necessary The Highest Income Householder HIH is taken as the household reference person for the first part of the interview This must be a person in whose name the accommodation is owned or rented or who is otherwise responsible for the accommodation In households with joint householders the person with the highest income is taken as the household reference per
275. nd childcare Community alarm emergency phone Original Random adult ind wt X February1999 rg8y 1999 2000 Health caring and childcare Deaffaciliies Original Random adult ind wt February1999 rg8z 1999 2000 Health caring and childcare Mobility scooter Original Randomaduit ind wt X February1999 rg8aa 1999 2000 Health caring and childcare Aids for blind Original Random adult ind wt X February1999 rg8ab 1999 2000 Health caring and childcare Adapted sockets taps etc Original Random adult find_wt___ February1999 rgo 1999 2000 Health caring and childcare Adaptations or equipment that respondent does not have that would help jOriginal Randomaduit ind wt February1999 annetinc 1999 2000 Household resources Annualnetinoome Derived Household la wt X February1999 andinc 1999 2000 Household resources Banded net annual income Derived X Househod la wt February1999 c5c cod c7ba Reinstated also in 1999 2000 data C I c7bb 2003 2004 Household resources Laptop computer Household la wt April 2003 c7bc 2003 2004 Household resources WAP mobile phone Household la wt April 2003 c7bd 2003 2004 Household resources Household la wt April 2003 c7be 2003 2004 Household resources Household a wt April 2003 c7bf c7bg c7bh c7c ila ilb ilc ild ile o t pO pO fs
276. ng and childcare Artificial limbs Original Random adult jind wt X February 1999 11 O igloh 1999 2000 Health caring and childcare Handrail Original Random adult jind wt X February 1999 O gl i 1999 2000 Health caring and childcare Stairlift Original Random adult jind wt X February 1999 1 1 11 O igloj 1999 2000 Health caring and childcare Hoists Original Random adult jind wt X February 1999 1 O Special Utensils Original Random adult ind wt X j February1999 S O Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced ind wt rg10l Pick up aid ind wt February 1909 rg10m 1999 2000 Health caring and childcare Dressing aid Original Random adult ind wt X February1999 rg10n 11999 2000__ Health caring and childcare Bath shower seat Original Random adult ind wt X February1999 rg100 1999 2000 Health caring and childcare Bath lift Original Random adult ind wt X February1999 rg10p 1999 2000 Health caring and childcare Adapted toilet seat Original Random adult ind wt February1999 rg10q 1999 2000 Health caring and childcare Hearing aid Original Random adult ind wt X February1999 rg10r 1999 2000 Health caring and childcare Other Original Random adult ind wt X February1999
277. ng the SHS Lite data Like all sample surveys the SHS can only produce estimates and these estimates are limited by a number of factors such as e Sampling variability all samples can differ from the population by chance This is often referred to as sampling error see Section 5 1 on page 23 e The number of cases that analysis is based on estimates based on large samples are more accurate than those based on small samples e Bias in the sample if a sample under represents sections of the population or if a large proportion of people do not answer some questions the estimates may differ substantially from the population for reasons that are not a result of chance For example in 1999 2000 54 of adults interviewed were female but the true figure in the population is only 51 This is an example of bias caused by young males in particular being difficult to contact or refusing to take part in the survey The SHS is limited in the amount of detail it can collect about some topics and often cannot collect data to the standards of official statistics This applies to measures such as e Economic status the variables containing the economic status of the highest income householder the random adult etc are based on self reported questions and do not conform to official definitions of employment unemployment While these variables can be used to look at how responses vary between people with different economic classifications
278. nhelpfu poor drivers Origna Random adult jind wt Juy1999 ei2ai 1999 2000 Transprt jREl2Otherpasenges Orignd Random adult find wt Juy1999 O rel2b 1999 2000 Transport JREI2Takestoolog Original Random adult find w Juy1999 rel2c_ 1999 2000 Transport JREl12Incowvenient Original Randomadut X find w Juy1999 rel2d 1999 2000 Transport JjRE12Nodiectroue Original Random adult find wt X Juy1999 rel2e 1999 2000 Transport jREl2Usemyowncar Origmad Randomadut X find wt Juy1999 ei2f 1999 2000 Transport jREl2Needacarfonatwork Orignad Random adult jind wt X Juy1999 ei2g 1999 2000 X Transptt JRE12Cost 0 Original Randomadut X find w X Juy1999 ei2h 1999 2000 Transprt jRE12Workunsoca unusud hours Origna Random adult find wt X Juy1999 ei2i 1999 2000 Transprt jREl12Publictransportunreliable Origna Random adult jind wt X Juy1999 ei2j 1999 2000 Transport jREl2Lackofservce Original Random adult find wt Juy1999 O el2k 1999 2000 Transport JRE12Tooinfrequent Original Random adult find wt Juy1999 ei2
279. nnns 40 7 2 WMOBRISG ANA NOT TABEES a ree ee at cen D SD nT MERI I eee ee 41 J2 Acvit beP Ad DIC oto i EE HDI aside he dee coats sateen snails fate dis oce d Tete aaa L GEO 41 a2 Usne Pivoting Way Sisco sais s dena a E 42 Velo Chansen Tabe PODDOU oiov E A Mec OR 44 7 3 SAVING AN OIN JUIN PEE aene a a e a 45 TA vOPENING AN OUTPUT EILE merrie nonn e E E N eain a itc upe 45 9 IELUSTRATIVE EXAMPLES wsisciceccusierace sacs enir e EEO EE 47 8 1 EXAMPLE t USING WEIGHT S cetera naar N an ek ict ae ete cable DU UL UHR eu sn ani UP E tnt 47 8 2 EXAMPLE 2 SF RE OUR ING Y oaee ten DoD ces Gace enw e Ma DID D M MEE CL D M ED en dane Meu e 48 8 3 EXAMPLE 3 MULTIPLE FREQUENCIES csccssccecccccescsscssccecceaceccceccsscsceccceceacceccsssesseccesccecescesssesscs 49 4 JXAMPLES OROS SAB 50 pp ei RM PR Meses La E DES MEUS Dot L E UCET CU salah 5 8 5 EXAMPLES SELECTING SPECIFIC CASES oria REO Uap ciaula Reape clusn nasal cowl Detto Obr Lor ac Sue in d 53 5 00 EXAMPLE O SPENT RING THE EIBE a oieibidp a Usi e OEC tust Debet ts cER LE b satel asians 56 04 cPbreguenci BXaipleuctaste stein Usu ho mean vasa seus scum uo vs orco menos tuU dEE IT 56 SO SCITOBSLOD EX Ap Seton bo ook ie cua a ona ede hen bes Boca buds boda mico on ta Met uenfiGt cadena boda ao etie ds 59 8 7 EXAMPLE 7 RECODING INTO A NEW VARIABLE 000ssssseseeeereeeeceeesseccoceesteecsceetteeeeeeessneeooeensees 62 SA L Kecodins trandage iO agerbidea Pe dans e a
280. nse rates weighting factors establishing the quality of the SHS results by comparing them with those of the Census and other surveys the survey s design factors and complex standard errors Scottish Household Survey Questionnaire April 2003 to December 2004 shows all the questions apart from repetitive details within the Travel Diary and sections which identify and correct errors to whom they relate and the circumstances in which certain questions are not asked Scottish Household Survey Fieldwork outcomes 2003 2004 This document deals with fieldwork outcomes and data quality for 2003 2004 Reporting conventions In tables showing percentages as whole numbers zero values are displayed as a dash values between 0 and 0 5 are displayed as 0 and values between 0 5 and 1 are rounded to 1 Where percentages are shown to one or more decimal place the final digit will have been rounded up or down As a result of rounding within tables the sum of individual items may not equal the totals for rows or columns Scottish Household Survey Fieldwork outcomes 2003 2004 2 Fieldwork targets and outcomes The requirements of the sample for the survey are as follows e it should provide an achieved national sample of 31 000 interviews over two years e interviews should be spread evenly across the 24 months of interviewing e the sample should be fully national in character i e covering the whole of mainland Scotland
281. nuary 2001 Oooo GNE PO ect pO pO Ls Oooo GNE pO ect p pO Oooo qum I T I g g rcof 2001 2002 Household resources Accesses internet using a PDA Random adult anuary 2001 rc6g 2001 2002 Household resources Accesses internet using a combination mobile PDA Random adult anuary 2001 rc6h 2001 2002 Household resources Accesses internet using a other method Random adult anuary 2001 pag g rc7a rc7b rc7b2 rc7c rc7d rc7e rc7f pa T I a a rc7g rc7h rc7i rc7j rc7k rc7l rcm anuary 2001 rc7n anuary 2001 I TL T I I 1999 2000 Household resources Period covered by actual rent payment Household February 1999 Dla o uu amp NS S U S B S 2 i Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed rco 2001 2002 Householdresources Uses the internet for Using or accessing government official sites Original Randomadult find wt X January2001 O irczp 2001 2002 Householdresources Uses the internet for Voting Origna Random adult jind wt X January2001 1 O c q 2001 2002 Householdresources Uses the internet for Noneofthese Origna Randomadut jind wt X January2001 O rc8a 2001
282. nue if amount entered at HH20 or if coded no usual pay Otherwise go to HH22 HH21 HOW MANY HOURS A WEEK DO YOU USUALLY WORK Can t say 98 Ask if more than 1 job coded more than 1 at HG18 Otherwise go to HH27 HH22 THINKING NOW ABOUT ANY OTHER JOBS IN TOTAL WHAT IS YOUR USUAL PAY AFTER ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE AND SO ON FOR THESE OTHER JOBS Don t know 999998 Refused 999997 Continue if amount entered at HH22 If coded don t know go to HH24 Otherwise go to HH27 HH23 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 Continue if HH22 coded don t know Others go to HH27 HH24 CAN YOU TELL ME YOUR USUAL TOTAL GROSS PAY BEFORE DEDUCTIONS FOR THESE OTHER JOBS Write in to nearest Don t know 999998 Refused 999997 Continue if amount entered at HH24 Otherwise go to HH27 HH25 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 HH26 AND HOW MANY HOURS A WEEK DO YOU USUALLY WORK FOR THIS PAY Can t say 98 Questions HH27 are for householders who are not the Highest Income Householder HH27 CANI CHECK ARE YOU IN PAID WORK FOR 1 OR MORE HOURS A WEEK Yes 1 No 2 Don t know 3 Continue if HH27 coded 1 Otherwise go to HH5
283. o expensive 5 Severe disfigurement skin condition or allergies 14 Too short a distance not worth it 6 Severe stomach liver kidney or digestive problem 15 Prefer to use car 7 Some other progressive disability or illness 16 Other Some other health problem or disability 17 Refused 18 HE17 WHY WOULD IT NOT BE POSSIBLE FOR Arthritis 19 PERSON S TO USE PUBLIC TRANSPORT HE17A HE17H HF3 IS THERE ANYBODY IN THE HOUSEHOLD Probe fully INCLUDING YOURSELF WHO NEEDS REGULAR HELP OR CARE BECAUSE THEY ARE SICK Too young to travel on own 1 DISABLED OR ELDERLY No service available 2 Inconvenient 3 Yes 1 Too far to bus stop 4 No 2 Cost too expensive 5 Too short a distance not worth it 6 If yes at HF3 ask HF4 if no skip to HG1 Prefer to use car 7 HF4 WHO IN THE HOUSEHOLD NEEDS REGULAR Other HELP OR CARE HF4 1 TO HF4A 10 Identify individuals from household grid Code up to first three mentioned HF HEALTH AND DISABILITY Person 1 1 Person 2 2 Person 3 3 Ask all HF1 teeter 4 Person 5 5 HF1 COULD YOU TELL ME WHETHER EACH OF THE Person 6 6 PEOPLE IN THE HOUSEHOLD HAS ANY LONG Person 7 7 STANDING ILLNESS HEALTH PROBLEM OR Person 8 8 DISABILITY THAT LIMITS YOUR THEIR DAILY Person 9 9 ACTIVITY OR THE KIND OF WORK THAT Person 10 10 UM GBESaeR TO ILL HEALTH HF5 WHO IS IT THAT PROVIDES HELP OR CARE FOR MEAN A PHYSICAL OR MENTAL IMPAIRMENT PERSON DOES ANYONE ELSE PR
284. o have a baby 2 That you decided to leave 3 That you were made redundant 4 That you had to leave because of sickness injury or disability to yourself 5 That you had to leave because of sickness injury or disability to another member of your household 6 Or that you were dismissed 7 Retired from work 8 Problems with childcare 9 RH17 FOR HOW LONG DID YOU WORK IN THAT JOB Less than 6 months 1 6 months but less than 12 months 2 12 months but less than 2 years 3 2 years but less than 5 years 4 5 years but under 10 years 5 10 years or more 6 Don t know 7 Only ask RH18 to those in employment coded 1 at RH1 Otherwise skip to RH19 HH18 HOW MANY PAID JOBS DID YOU HAVE IN THE WEEK ENDING LAST SUNDAY Don t know 1 Refused 2 Only ask if respondent has been in paid employment in the past five years Others go to RI56 RH19 THINKING ABOUT YOUR CURRENT LAST PAID JOB WHAT IS WAS THE NAME OR TITLE OF THAT JOB RH20 WHAT DOES DID THE FIRM ORGANISATION THAT YOU WORK ED FOR MAKE OR DO AT THE PLACE WHERE YOU WORK ED DESCRIBE FULLY PROBE FOR MANUFACTURING OR PROCESSING OR DISTRIBUTING ETC AND MAIN GOOD PRODUCING MATERIALS USED WHOLESALER OR RETAIL ETC Pd RH21 WHAT DO DID YOU MAINLY DO IN YOUR JOB P RH22 ARE WERE YOU WORKING AS AN EMPLOYEE OR WERE YOU SELF EMPLOYED Employee 1 Self employed 2 RH23 DO DID YOU SUPERVISE ANY OTHER EMPLOYEES A SUPERVISOR OR
285. o return to the Recode dialog box Click Note The new variable will be displayed at the end of the dataset We are now going to assign Value Labels for the anew variable e Select the Variable View tab LL I Data View Variable View e Scroll down to the lanew variable lanew will be displayed as the last variable in the list You can press CTRL V on the keyboard to navigate to it Note e Select the values cell for the lanew variable e Clickl ito open the Value Labels dialog box see Figure 75 e Enter the Value SHS Lite User Guide Version 1 0 Page 73 e Enter the Value Label Clackmannanshire Figure 75 First Value Label to be added Value Labels Value Labels K Value 1 Value Label Clackmannanshire e Click e Enter the Value 2 e Enter the Value Label Rest of Scotland e Click see Figure 76 Cancel E Figure 76 Both value labels added Value Labels Value Labels Clackmannanshire est of Scotland cio MN You can now view the Value Labels for the anew variable in Data View see t e Note Section 3 2 2 on page 8 Page 74 SHS Lite User Guide Version 1 0 8 8 Example 8 rd3new by agerband Crosstab This example shows how the random adult usually travels to work education by banded age of random adult We are using the new variable rd3new We created this variable by recoding rd3 see Section 8 7 2 on page 66 e Weight the data using ind
286. o the nearest whole number zero values are shown as a dash values greater than zero but less that 0 5 are shown as zero and values of 0 5 but less than 1 are rounded up to 1 Percentages are removed from columns where the base on which percentages would be calculated is less than 100 This data is judged to be insufficiently reliable for publication Note Itis advisable to follow these reporting conventions in your own analyses 6 2 Frequencies Frequencies provide statistics and graphical displays that are useful for describing many types of variables They display both the number and percentage of cases for each observed value of a variable For a first look at your data the frequencies procedure is a good place to start An illustrative example can be found in Section 8 2 on page 48 For easy reference however the basic steps that you would need to take are given below 6 2 1 Creating a Frequency Table e Select Analyze Descriptive Statistics Frequencies from the menu bar e Select one or more of the variables and click gt see Figure 17 for an example that uses rd3 how the Random Adult usually travel to work education e Click see Figure 18 Frequency tables are displayed in the Viewer window This will open automatically on your screen An example of this window can be seen on page 39 Sections 7 1 1 to 7 1 4 demonstrate how to manipulate this window to fit your needs Note SHS Lite User Gui
287. o to HG13 Yes 1 No 2 If HG2 5 continue Otherwise go to HG6 13 Scottish Household Survey Questionnaire April 2003 to December 2004 HG11 HOW LONG IS IT SINCE YOU PERMANENTLY RETIRED FROM WORK Under a year 1 1 4 years 2 5 years or more 3 Don t know 4 If coded 1 or 2 at HG11 go to HG19 others go to HH56 HG12 WHY DID YOU NOT SEEK WORK IN THE LAST 4 WEEKS ANY OTHER REASON HG12A HG12M Do not prompt Code all that apply Waiting for the results of an application for a job being assessed by a training agent 1 In full time education student 2 Looking after the family home 3 Temporarily sick or injured 4 Long term sick or disabled 5 No jobs available 6 Do not need employment 7 Not yet started looking for work 8 Hetired from paid work 9 Lack of available childcare 10 Cannot afford childcare 11 Needs training additional education 12 Other reason please specify 13 Continue if HG7 is coded 1 Otherwise go to HG14 HG13 FOR HOW LONG HAVE YOU BEEN LOOKING FOR PAID WORK A PLACE ON A GOVERNMENT TRAINING SCHEME Under 3 months 1 3 months but less that 6 months 2 6 months but less than 12 months 3 1 year but less than 2 years 4 2 years but less than 5 years 5 5 years or more 6 Don t know 7 Continue if HG10 is not coded 9 and HG5 is not coded 1 Otherwise go to HG18 HG14 A HAVE YOU HAD A PAID JOB IN THE LAST FIVE YEARS Yes 1 No 2 Continue
288. of driving licences and their frequency of driving people s frequency of walking and cycling travel to work travel to school adults with limited mobility and adults with Orange Blue Badges 11 2 2 Transport across Scotland some Scottish Household Survey results for parts of Scotland Published February 2004 This provides information about the transport facilities available to private households and about some travel by household members for parts of Scotland Statistics are provided for each Council area and for each category of the SHS urban rural classification The topics covered include those noted above and in addition the accessibility and frequency of bus services people s views on the convenience of public transport and how safe they would feel travelling by bus and train in the evenings whether car commuters could use public transport and where people who drive to work park 11 2 3 Bus and Coach Statistics Published March 2004 This provides information about the trends in bus and coach services in Scotland with some related Scottish Household Survey SHS results The SHS statistics include the accessibility and frequency of bus services views on the quality of public transport frequency of use of local bus services views on various different aspects of local bus services travel to work by bus and the possible use of public transport by those who travel to work by car or van reasons for not using buses more often the fre
289. ofF fREUEMULE New value of 1 Old salue Mew Value f Value F f Walue 1 System missing D L3 Es Of user mizsing a asus E zBemove Output variables are strings Convert numeric strings to numbers H 4h t All other values Continue Cancel Help e Select the Old Value All other values option see Figure 73 e For the New Value enter 2 see Figure 73 e Click see Figure 74 Using the All Other Values option breaks the rule we established earlier about knowing exactly what the variable s values are However we know that every case has a value and every value represents another local authority so in this instance it s acceptable Note Page 72 SHS Lite User Guide Version 1 0 Figure 73 Using the All Other Values option Petter OMA EWERICEMIUEE New value of 2 Old Value New Value C Value f Yale System missing o ij System or user missing Old gt Mew mm DO Old Value All other values Output variables are strings Convert numeric strings to numbers 5 5 Continue Cancel Help Figure 74 All old values have been assigned new ones Recode into Different Variables Old and Mew Values Old Value New Value t Value ie Value C Sustem missing System or user missing Output variables are strings Convert numeric strings to numbers 5 5 f All other values Continue Cancel Help e Click t
290. ome section is particularly complex Income information is gathered about the Highest Income Householder his or her spouse or partner and the Random Adult The routing will depend on who is being interviewed HIH or partner and whether or not they are also the Random Adult Those undertaking analysis of this section are advised to contact the SHS Project Manager see contacts at page 45 INTRO THE NEXT GROUP OF QUESTIONS IS ABOUT YOUR HOUSEHOLD S INCOME THIS WILL HELP US ANALYSE THE INFORMATION ON THE SURVEY S MAIN TOPICS FOR EXAMPLE TO FIND OUT THE EXTENT OF HOME OWNERSHIP CAR DRIVING AND INTERNET USE BY PEOPLE WITH DIFFERENT LEVELS OF INCOME IN ORDER TO MAKE BEST USE OF THE SURVEY S INFORMATION WE NEED TO ASK ABOUT VARIOUS TYPES OF INCOME OTHERWISE OUR RESULTS COULD BE MISLEADING BUT PLEASE REMEMBER THAT EVERYTHING YOU TELL ME IS COMPLETELY CONFIDENTIAL AND WILL ONLY BE USED FOR THE PURPOSE OF PRODUCING STATISTICS HH1 NOW I D LIKE TO ASK YOU ABOUT THE PAY IN THIS JOB WHAT IS YOUR USUAL TAKE HOME PAY THAT IS AFTER ALL DEDUCTIONS FOR TAX NATIONAL INSURANCE UNION DUES AND SO ON BUT INCLUDING OVERTIME BONUSES COMMISSION OR TIPS Probe for best estimate No usual pay 999996 Don t know 999998 Refused 999997 Continue if amount entered at HH1 If coded don t know at HH1 go to HH5 If coded no usual pay go to HH9 HH2 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3
291. ost to you 2 A car sharing scheme where you take a turn driving 3 A car sharing scheme where you pay the driver 4 A work s van or minibus 5 Other 6 If RD4 coded 1 go to RD5 otherwise go to RD6 RD5 WHERE DO YOU PARK YOUR VEHICLE IS IT In a commercial car park 1 On the street at no cost 2 On the street in a space you pay for 3 Paid for in a car park provided by employer school college university 4 Free in a car park provided by your employer school college university 5 Free in another car park 6 Other 7 28 Scottish Household Survey Questionnaire April 2003 to December 2004 RD6 WHAT ARE THE MAIN REASONS YOU USE THIS RD8MAIN AND WHAT IS YOUR MAIN REASON METHOD OF TRAVEL TO WORK SCHOOL COLLEGE UNIVERSITY RD6A RD6U Takes too long 1 Probe fully Inconvenient 2 No direct route 3 Close nearby not far away 1 Use my own car 4 Most convenient 2 Need a car for at work 5 Travel with friends 3 Cost 6 Safest method 4 Work unsocial unusual hours 7 Quickest method 5 Public transport unreliable 8 Only method available 6 Lack of service 9 Too far to walk 7 Too infrequent 10 bs pupie anspor 8 Health reasons 11 d Ru iie n Difficult access on off steps 12 ee ome Too much to carry awkward 13 NO car Hansport 1 Uncomfortable 14 Laziness No ne d 15 Distance 13 Too much to carry 14 ae to oe Al Parking problems 15 ISUSE Waning 17 Need car at work 16 Long walk
292. ot already visible from the menus choose e Pivot Pivoting Trays Figure 29 Pivot menu File Edit View Insert Bt Format Analyze Graphe Ublities Window Help Bookmarks Transpose Rows and Columns Move Layers to Hows Move Layers to Columns Reset Pryvots to Defaults Gada Trays If the Pivot menu Is not available the table has not been activated Double click the table to activate it Note Figure 30 Pivoting Trays window g4 Pivoting Trays When you click and hold the mouse over one of the pivot icons the shaded area in the table indicates what is represented by that icon see Figure 31 A screen tip also indicates what the icon represents in the table Page 42 SHS Lite User Guide Version 1 0 Figure 31 Pivot icon clicked to show what is represented by it How random adult usually travels to work education Banded age of random adult Crosstabulation Banded age af random adult 1B ta 24 25 to 34 SS e Tatal PG Sy Pivoting Trays bd 22B5 Haw random adult usually travels to wark education 7 57 78 18 D 3936 4363 583 14 Grey shaded area You can drag the banded age of random adult pivot icon from the Column dimension to Row dimension to dramatically change the layout of the table see Figure 32 The order of the pivot icons in a dimension reflects the order of the elements in the table Figure 33 demonstrates changing the order of the icons in the Row dimension
293. ousehold Survey Questionnaire April 2003 to December 2004 HE5AN TO WHAT EXTENT DO YOU AGREE OR HE6B HOW FAR WOULD YOU SAY IT IS BETWEEN DISAGREE WITH EACH OF THE FOLLOWING YOUR HOME AND THE SCHOOL THAT YOUR STATEMENTS IN RELATION TO RANDOM CHILD ATTENDS CHILD INTERVIEWER STRESS THAT THESE QUESTIONS RELATE SPECIFICALLY TO THAT Pe CHILD ONLY Miles A lam satisfied with the quality of the childcare that use B It is difficult for me to get to the childcare that use Don t know 999998 C Given my family income find it hard to pay for the Under 1 mile 999985 childcare that use EE D The childcare that I use meets the needs of my child nter here i Is dont know E It was easy to get a place in the childcare that I use for HE7 PLEASE ENTER NAME AND ADDRESS OF my child SCHOOL THAT YOUR CHILD ATTENDS F The times of the childcare that is available to me are G It is difficult to find out what childcare is available around here Enter here if HE6 is A to 6 Response options HE8 PLEASE ENTER NAME AND ADDRESS OF Strongly agree 1 SCHOOL THAT YOUR CHILD ATTENDS Tend to agree 2 Neither agree nor disagree 3 PF Tend to disagree 4 Strongly disagree 5 Don t know 6 HE9 HOW SATISFIED OR DISSATISFIED ARE YOU At this point the script asks about a schoolchild in the AUTE TRE SEPOOEINO NAME TS REGENG household The school attended by the schoolchild is Very satisfied 1 usually selected from a lis
294. ousing stock the reference is retained in the questionnaire in case some tenants continue to think Scottish Homes is their landlord Age and sex profile of the random adult sample When a single adult is randomly selected within households the unweighted sample of adults always under represents those living in multi adult households since they have a smaller chance of selection for interview As Table 4 3 shows weighting to equalise probabilities of selection generally has the effect of bringing the profile of the random adult sample closer to that of the adult population The SHS data 18 Scottish Household Survey Fieldwork outcomes 2003 2004 shown have been weighted both by the number of adults resident in the household and by the local authority weight described in the previous section These two weights tend to act in the same direction since those larger local authority areas which are weighted up also tend to be ones with a higher average household size Table 4 3 Comparison of weighted and unweighted age and sex profile of 2003 2004 SHS data with 2001 Census estimates Census estimates SHS random adults SHS random adults SHS all adults for 2001 unweighted weighted weighted Male 16 24 7 0 3 5 4 9 6 3 25 59 29 3 25 1 26 3 27 8 60 plus 11 0 14 0 13 1 12 6 Total 47 3 42 6 44 3 46 7 Female 16 24 6 9 4 5 5 7 6 6 25 59 30 7 31 9 32 8 30 7 60 plus 15 1 21 0 17 2 16 0 Total 52 7 57 4 55 7 5
295. ow 999998 Refused 999999 PAYD HOW LONG DID YOU STAY AT THAT PARKING PLACE INHOURS AND MINUTES INTERVIEWER IF FOR EXAMPLE THE RESPONDENT PARKED FOR 45 MINUTES PLEASE ENTER ZERO FOR THE NUMBER OF HOURS Park for more than a day 999985 Don t know 999998 Refused 999999 At the end of collecting the details of each trip respondents are asked RE45 ANY MORE JOURNEYS YESTERDAY Yes 1 No 2 RF VOLUNTEERING CONVENIENCE OF SERVICES Ask all RF11A The next set of questions are about the kinds of things that some people do to give up their time without pay to help people or for the benefit of their neighbourhood or a wider area and either through organisations or acting as individuals RF11A THINKING BACK OVER THE LAST 12 MONTHS HAVE YOU GIVEN UP ANY TIME TO HELP ANY CLUBS CHARITIES CAMPAIGNS OR ORGANISATIONS MEAN IN AN UNPAID CAPACITY Yes 1 No 2 Ask RF11b if coded yes 1 at RF 11a Otherwise skip to RF13 RF11B IS THAT FOR ONE PARTICULAR CLUB CHARITY CAMPAIGN OR ORGANISATION OR FOR MORE THAN ONE One 1 More than one 2 RF12 I WOULD LIKE YOU TO THINK ABOUT THE CLUB CHARITY CAMPAIGN OR ORGANISATION THAT YOU GIVE UP MOST OF YOUR TIME FOR PLEASE LOOK THROUGH THIS LIST AND TELL ME WHICH IF ANY BEST DESCRIBES WHAT IT DOES RF12AA2 RF12BN2 Working with older people 1 Working with people with disabilities 2 Working with vulnerable people 3 Working in support of th
296. ow opens to display the Crosstab table see Figure 98 Figure 97 Cell Display dialog Crosstabs Cell Display Counts Continue W Observed Expected Cancel Help Percentages Residuals Unstandardized Standardized Total Adj standardized Column Percentages option SHS Lite User Guide Version 1 0 Page 89 Figure 98 Respondents use of recycling facilities by Number of cars household has access to Output SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help salala Go 3 Eje e S ubi al Frequency of respondents use of recycling facilities Number of cars household has access to Crosstabulation ee DEDERE Mone Two Three or more or mare Tatal Frequency of Every day 12 182 use Of recycling Atleast ance a week 1805 At least once a month 472 1353 543 108 2576 Within the last amp months 174 584 253 G 1047 Within the last year BB 202 100 26 414 3 2965 3 895 4 1 4 396 3 795 Never 2620 2751 G44 179 E484 D poses ees asm see anra one available z j E Dont know Cant remember Total 4192 5433 2541 514 13780 100 0 100 0 100 0 100 0 100 0 SP55 Processor is ready This suggests that there 1s a relationship between recycling and household access to a car However rf is very broad with a wide variety of different possible frequencies of recycling and this makes the relationship less clear It might become clearer if we collap
297. ows faster turnaround of results more generally e The CAPI system generates detailed information about the timing and duration of interviews allowing fieldwork to be monitored more closely Although there are now a number of competing CAPI solutions the contractors use a Windows system and In2itive software 3 2 Questionnaire development and changes The original SHS questionnaire was developed between August and December 1998 by the Survey Team working in conjunction with the Technical Group for the survey from the Scottish Executive This followed a broader consultation exercise in which interested parties from a range of policy areas academia voluntary organisations and other bodies were invited to propose topics or specific questions for inclusion in the survey The core of the SHS questionnaire is intended to remain constant but there is also scope for the inclusion of different modules over time A simplified version of the questionnaire is provided as separate documents Questionnaire 2003 2004 and Questionnaire 2005 The SHS website also contains details of survey content and questionnaire changes at www scotland gov uk topics statistics 16002 4047 3 3 Fieldwork The main fieldwork for the survey has an on going monthly cycle Interviewers are required to make up to six calls at an address an initial visit plus five call backs In addition to the immediate reissue of contact sheets that have been wrongly complete
298. ple in household with limiting long term illness health problem or disability Derived Household la wt X February 1999 O litiaghi 1999 2000 Health caring and childcare Age of oldest person with LLTI inhousehold Derived Househod la wt X February1999 litiaglo la_wt February 1999 lItibdhi 1999 2000 Health caring and childcare Banded age of oldest person with LLTI Derived Househod la wt X February1999 litibdlo 1999 2000 Health caring and childcare Banded age of youngest person with LLTI Derived Household la wt X February1999 la wt January 2001 O tidis 2001 2002 Health caring and childcare Number of people in household with long term illness AND disability Derived Household la wt X January 2001 7 O Incare 1999 2000 Health caring and childcare Who provides caretothehousehold Derived Household la wt X jFebruary 1999 1 7 O ncarees 1999 2000 Health caring and childcare Number of people in household receiving care Derived Household la wt X jFebruary 1999 ncarers 1999 2000 Health caring and childcare Number of people in household that provide care to a household member Derived Household la
299. ponding figures for the whole population and these results might vary from the true values in the population for three main reasons e The sample source does not completely cover the population because accommodation in hospitals prisons military bases larger student halls etc are excluded from the sampling frame The SHS provides a sample of private households rather than all households The effect of this on the representativeness of the data is not known e Some people refuse to take part in the survey and some cannot be contacted by interviewers If these people are systematically different from the people who are interviewed this represents a potential source of bias in the data Comparison of the SHS data with other sources suggests that for the survey as a whole bias due to non response is small see Section 2 4 on page 5 e Samples always have some natural variability because of the random selection of households and people within households In some areas where the sample 1s clustered the selection of sampling points adds to this variability Each of these sources of variability becomes much more important when small sub samples of the population are examined For example a sub sample with only 100 households might have had very different results if the sampling had by chance selected four or five more households with children 5 2 Confidence Intervals The likely extent of sampling variability can be quantified by calculating t
300. quency of travelling by bus in the evenings and how safe from crime passengers feel and the proportion of adults journeys which are made by bus 11 2 4 Scottish Household Survey Travel Diary results Published in May 2004 provides information about the journeys made by adults living in private households The topics covered include the means of transport used by different types of people the purposes for which people travel the distances that they go the times of day at which trips start the duration of Journeys the days of the week on which people travel car occupancy journey origins and destinations and journeys into and within Edinburgh and Glasgow The information about the person s travel is analysed in conjunction with information from questions about the household as a whole Copies of these publications may be purchased from The Stationery Office Bookshop 71 Lothian Road Edinburgh EH3 9AZ Alternatively online editions of publications may be found on the Scottish Household Survey website at www scotland gov uk shs Page 114 SHS Lite User Guide Version 1 0 12 Index ADMIN set 16 ALLVARIABLES 16 Bar Chart 32 bias 23 Bus and Coach Statistics 114 cases 8 Cell Display dialog 35 52 89 98 compute 99 Confidence intervals 23 confidence limit 25 contents pane 40 41 control variable 34 Crosstab 51 Crosstab Table 32 Data View 8 Defining Value Labels 19 dependent variable 29 de
301. r quality assurance reviews to ensure that they meet customer needs They are produced free from any political interference Details of pre release access will be provided in the Scottish Executive Statistics Website under Forthcoming Releases Correspondence and enquiries Enquiries on the Scottish Household Survey should be addressed to SHS Team Analytical Services Division Scottish Executive Development Department 1 F Victoria Quay Edinburgh EH6 6QQ Telephone 0131 244 8420 Fax 0131 244 7573 e mail shs scotland gsi gov uk General enquiries on Scottish Executive statistics can be addressed to Ryan Stewart Office of the Chief Statistician Scottish Executive 3 Floor West Rear St Andrews House EDINBURGH EH1 3DG Telephone 0131 244 0442 Fax 0131 244 0335 e mail statistics enquiries scotland gsi gov uk Advice on specific areas of Scottish Executive statistical work can be obtained from staff at the telephone numbers given below Scottish Executive Statistics contacts Schools pupils and teachers 0131 244 1689 Further and Higher Education 0141 242 0273 government staffing Transport 0131 244 7255 Health Community Care 0131 244 3777 Social Justice 0131 244 0442 ocottish Executive personnel 0131 244 3926 Agricultural census and labour force 0131 244 6150 0131 244 6441 Other contacts for Scottish statistics Forestry Commission 0131 314 63
302. random sample of the same size The Estimated Sampling Error table see page 27 shows the 95 confidence limits for a range of estimates calculated for a range of sample sizes To estimate the potential variability for an estimate for the survey you should read along the row with the value closest to the estimate until you reach the column for the value closest to the sub sample This gives a value which when added and subtracted from the estimate gives the range the 95 confidence interval within which the true value is likely to lie Figure 16 Local authority by Household type row percentages displayed i Output SPSS Viewer SE File Edit View Insert Format Analyze Graphs Utilities Window Help cor bel e w S Eelk Bl Local authority identifier Household type Crosstabulation 56 within Local authority identifier Hausehald type Single adult Small adult Single parent Smallfamily Large family Large adult Older smaller Local South Ayrshire 17 9 16 2 4 295 15 2 B 396 10 1 14 6 authority South Lanarkshire 13 0 14 4 4 856 15 596 8 396 12 756 15 5 identifier stirling 11 1 18 3 5 596 15 1 725 14 3 13 8 West Dunbartonshire 16 9 13 9 6 7 13 9 6 9 13 7 12 1 West Lothian 12 4 17 4 5 7 21 4 6 9 12 5 12 2 Western Isles 16 0 13 5 3 1 14 1 7 4 11 7 17 8 Aberdeen City 23 1 16 6 5 2 12 4 5 0 10 8 12 9 Aberdeenshire 3 896 17 6 3 8 20 0 9 2 11 3 15 1 Angus 12 3 18
303. raphs Utilities Window Help co Mel o w Elele E FE Output JE Frequencies F Title How random adult usually travels to work education A Motes L Statistics pos D How random FE Frequencies Title B Motes L Statistics A How random ii Bar Chart Frequency EA Si CN he de Ai e oy A ty How random adult usually travels to work education S Ta me ut 4 SP55 Processor is ready 6 3 Crosstabs Crosstabulation tables can be used to show the relationship between two or more variables Unlike frequencies we can display variables in both the rows and columns of the table An illustrative example can be found in Section 8 4 on page 51 For easy reference however the basic steps that you would need to take are given below 6 3 1 Page 32 Creating a Crosstab Table Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recall button if you have previously used Crosstabs Select the variable to display as the row headings tenure in this case and click gt see Figure 21 Select the variable to display as the column headings proptype in this case and click L Click see Figure 22 SHS Lite User Guide Version 1 0 Figure 21 Crosstabs dialog box lil Crosstabs EJ Haw s 4 unigid de la wt gt tenure Faste 4 rand ak Reset ind wit Columns _ Selected row varia
304. rcycle or bicycle 13 None know the route 14 Other 15 Ask PTPLAN if CARPLAN not coded 9 Never go out housebound PTPLAN I WOULD LIKE YOU TO THINK ABOUT THE JOURNEYS YOU MAKE BY BUS OR TRAIN OR UNDERGROUND WHICH IF ANY OF THESE HAVE YOU USED TO GET TRAVEL INFORMATION OR ADVICE ABOUT YOU RE JOURNEY IN THE LAST MONTH Asked a friend 1 Telephoned Traveline 2 Timetable delivered through your door picked up at stations 3 Timetable displayed at stations and stops 4 Contacted the venue attraction you are visiting 5 Used Transport Direct internet portal 6 Teletext Ceefax 7 Digital TV interactive services 8 Electronic kiosks terminals 9 Internet access 10 None someone else finds out for me 11 haven t made journeys by bus train or underground 12 Other 13 TDAWARE HAVE YOU HEARD OF TRANSPORT DIRECT Yes 1 No 2 Don t know 3 Refused 4 Ask TDKNOW if TDAWARE 1 TDKNOW CAN YOU TELL ME WHAT TRANSPORT DIRECT IS Source of information about bus routes timetables and fares 1 Source of information about train routes timetables and fares 2 Source of information about plane routes timetables and fares 3 Source of information about routes for car journeys 4 Source of information about bus train plane services e g whether running on time late cancelled etc 5 Source of information about car journeys e g diversions traffic problems etc 6 Means of buying bus
305. reviews in line with National Statistics quality strategy e Developing statistical methods systems and classifications e Working with the rest of the Government Statistical Service to develop joint approaches solutions where appropriate 5 To assure the integrity of statistics by e Maintaining and promoting integrity through implementation of the National Statistics Code of Practice and related protocols e Safeguarding the confidentiality of data subjects To ensure the efficient and effective delivery of statistics products and services by Making best use of all sources including administrative sources Minimising the burden on data providers through Survey Monitoring amp Advice Ensuring value for money Making best use of Information and Communications Technology Working with other analysts Ensuring effective communication within the Statistician Group e gt gt o0 oo Q To develop our workforce and competences Ensuring recruitment of staff with the necessary skills and potential Ensuring development of expertise amongst existing staff Promoting and upholding the standards of the statistics profession e o9 N This is a National Statistics publication This is a National Statistics publication It has been produced to high professional standards set out in the National Statistics Code of Practice and Release Practice Protocol http www statistics gov uk about_ns cop default asp These statistics undergo regula
306. riginal Random adult ind wt January2000 December2002 Local council Should be collected used to be collected Original jRandomadult X ind wt January 2000 December 2002 if o2 1999 2000 Local council jOtherhousehold member recycles Original Random adult X jJind wt X January 2000 December 2002 Local council Re use things Original Random adult ind wt January 2000 December 2002 ef if7 1999 2000 Local council Doyouknow who yourlocalcounciloris Original Random adult jind wt February 1999 December 2002 RENE Eig sub ee e MU suns undam nant aae o rf8 1999 2000 Local council complaint or proble Original Random adult ind wt February 1999 December 2002 rf 1999 2000 Local council How satisfied or dissatisfied you were with the way in which your councillor dealt with enquiry Original Random adult jind wt February 1999 December 2002 O Local council Number of items recycled from glass plastic metal cans pper Derived Household fla wt X April 2003 Previously asked of random adult RF5 ihc ea 2003 2004 Local council Doesn trecycle No facilities available Original Household lla wt April 200
307. riginal Househod la wt February 1999 December2002 1 1 O Ihe3d_ 1999 2000 Health caring and childcare Do not know why used childcare Origna Household la_ wt February 1999 December2002 1 11 11 Ihe4 1999 2000 Health caring and childcare How much paidinchildcare amp Origna Househod la wt February 1999 December2002 1 1 heda 2003 2004 Health caring and childcare Count use free nursery place Derived Househod la wt X April 2003 hedb 2003 2004 Health caring and childcare Count do not use free nursery place Derived Household la wt April 2003 hedc 2003 2004 Health caring and childcare Count dont know Derived Household la wt April 2003 i O IheSana_ 2003 2004 Health caring and childcare am satisfied with the quality of the childcare that use Original Randomchid jrankidwt April 2003 IheSanb 2003 2004 Health caring and childcare It is difficult for meto get to the childcare that I use Original Randomchid jrankidwt April 2003 IheSanc_ 2003 2004 Health caring and childcare Given my family income find it hard to pay for the childcare that use Orignal Randomchid jrankidwt April 2003
308. rom some time ago e Other interviewees may under state their income because they do not want to reveal how much they really earn e Because about a third of the households in the sample are unwilling or unable to provide income information values for some or all of the main components of income have to be imputed In 2004 researchers commissioned by the Scottish Executive and Communities Scotland compared the income data collected by the SHS and the Scottish House Conditions Survey SHCS with the income statistics produced from the Family Resources Survey Their main conclusions were e the SHS and SHCS under estimate total household income due to collecting only the income of the highest income householder and any spouse partner e when households with one adult or two adults who are spouses partners are compared there is good agreement between the SHS SHCS and FRS income distributions for such households e SHS and SHCS greatly under estimate investment income and interest payments compared to FRS e uncorrected bias in the SHS and SHCS age and sex distributions affects income distributions particularly for one person households e overall income from benefits agrees well between the surveys but the individual benefits may be less accurately classified in the SHS and SHCS As a multi purpose survey of households the SHS is not designed to provide the kinds of information about economic activity and household
309. rs is too small to compare men and women or the modes of transport used e In the other two age groups women seem to be more likely than men to walk to work but checking the results shows that the difference in walking between men and women aged 16 30 years 1s not significant but the difference in the 31 65 age group is significant e Checking the results for using a car however shows that the difference between men and women aged 16 30 years is significant so although you cannot say that women aged 16 30 years are more likely to walk you can say that they are less likely to use a car SHS Lite User Guide Version 1 0 Page 81 8 11 Example 11 Changing the Table Layout In this example we are going to change the layout of the three way crosstab table created in Example 10 which starts on page 79 At present the sex of random adult 1s the first variable in the Row dimension We are going to change its position to the Layer dimension Figure 86 displays the current layout of the table e Create the three way crosstab table in Example 10 if you have not saved it or left the viewer window open e Within the Viewer window activate the crosstab table by double clicking it e Turn on the Pivoting Trays window if not already displayed by selecting Pivot Pivoting Trays from the menu bar see Figure 86 If this menu is not displayed you have clicked outside of the table Double click the table to reactivate it Figure 86 Acti
310. rsion 1 0 Figure 54 Cell Display dialog box Crosstabs Cell Display Continue Cancel Expected Help Percentages Residuals Bow Lnstandardized Column Standardized Total Adj standardized No Percentages options selected Figure 55 How random adult usually travels to work by Banded age of random adult grouped by sex i Output9 SPSS Viewer Sele File Edit View Insert Format Analyze Graphs Utilities Window Help B S TE 9 amp D O 88 How random adult usually travels to work education Banded age of random adult Crosstabulation Count Banded age of random adult Sex of random adult 16 to 24 25 to 34 35 to 44 45 to 59 60 to 7 75 plus Total 4 How random Walking 36 adult usually Driver car van 221 travels to Passenger carvan work education Motorcycle moped Bicycle School bus Works bus Ordinary service bus Taxi minicab Rail Underground Ferry Aeroplane Other Female How random Walking adult usually Driver car van travels to uM Passenger car van Motorcycle moped Bicycle School bus Works bus Ordinary service bus Taxi minicab Rail Underground Ferry 889 2 78 65 46 48 207 23 5 ec c o OO O D co0 coc OC O oZo o occoZoo O O Ou Double click to edit Pivot Table EJ SPSS Processor is ready H 198 W 554 pt A SHS Lite User Guide Version 1 00 age BL 8 7 Example 7 Recoding into a New Variable 8 7
311. ruary1999 1999 2000 Health caring and childcare Walking stick crutches Original Random adult ind wt February1999 1999 2000 Health caring and childcare Walking zimmerframe Original Random adult ind wt X February1999 1999 2000 Health caring and childcare Trolley Original X Randomadult ind wt X February1999 1999 2000 Health caring and childcare Bed poles orladders Original Random adult ind wt February1999 rg8f 1999 2000 Health caring and childcare Ramps Original Random adult j ind wt X February1999 rg8g Artificial limbs Original Random adult ind wt X February 1999 rg8h 1999 2000 Health caring and childcare Handrail Original Random adult j ind wt X February1999 rg8i 1999 2000 Health caring and childcare Stairift Original Random adult ind wt February1999 1999 2000 Health caring and childcare Hoists Original Random adult j ind wt X February1999 Special Utensils Original Random adult ind wt X February 1999 rg8l Pick up aid Original Random adult ind wt X February 1999 rg amp m 1999 2000 Health caring and childcare Dressing aid Original X jRandomadut ind wt February1999 rg8n 1999 2000 Health caring and childcare Bath shower seat Original X jRandomaduit ind wt February1999 rg8o 1999 2000 Health caring and childcare Bath lift Original Random
312. rviewers given clear counting procedures for identifying the relevant selected dwelling Where the MOI is correct this procedure is unproblematic Sometimes however the MOI is incorrect or missing in about 2 of cases and the true number of dwellings at an address is only discovered once the survey is in the field Where an interviewer finds that the MOI is different from the actual number of dwellings observed in the field he or she contacts the office where the correct details are used to randomly select one of the dwellings Scottish Household Survey Methodology 2003 2004 Cases in which the MOI is found to be incorrect should in principle be given an additional weight to take account of the implications of this for probabilities of selection In fact this is not done for reasons outlined in the discussion on weighting in Fieldwork outcomes 2 4 Overall sample structure Scotland has 32 local authorities and the sample structure of the survey is intended to yield results as reliable as those of a simple random sample of 500 for the larger local authorities defined as those with at least 750 achieved interviews per year on an annual basis and for all local authorities regardless of size after 2 years The overall aim of the sample design is to pursue a systematic random sample where fieldwork conditions allow it in areas of high population density and to cluster interviews in the remaining areas in order to achie
313. s data collection methods and instruments the limitations of the data and the Scottish MOSAIC classification 11 1 3 Scottish Household Survey Fieldwork Outcomes 2003 Published August 2004 This 1s the second of three short Technical reports that details the technical issues involved with the SHS It includes information about response rates weighting factors establishing the quality of the SHS results by comparing them with those of the Census and other surveys the survey s design factors and complex standard errors 11 1 4 Scottish Household Survey Questionnaire April 2003 December 2004 Published August 2004 This 1s the third of three short Technical reports that details the technical issues involved with the SHS It includes an abbreviated questionnaire for 2003 and 2004 It shows all the questions apart from repetitive details within the Travel Diary and sections which identify and correct errors to whom they relate and the circumstances in which certain questions are not asked SHS Lite User Guide Version 1 0 Page 113 11 2 Transport Related 11 2 1 Household Transport some Scottish Household Survey results Published January 2004 This provides information about the transport facilities available to private households and about some travel by household members Every edition includes statistics on the following topics in addition to several others the availability of cars for private use people s possession
314. s 842 628 587 70 93 Argyll and Bute 152 551 524 70 95 Clackmannanshire 813 579 541 67 93 Dumfries and Galloway 1 118 815 184 70 96 Dundee City 1 283 866 779 61 90 East Ayrshire 933 695 651 70 94 East Dumbartonshire 157 550 499 66 91 East Lothian 821 549 503 61 92 East Renfrewshire 877 564 550 63 98 Edinburgh City 3 962 2 489 2 293 58 92 Eilean Siar 694 549 532 T1 97 Falkirk 1 113 024 772 69 94 Fife 2 768 2 083 1 978 71 95 Glasgow City 5 453 3 241 3 077 56 95 Highland 1 679 1 167 1 024 61 88 Inverclyde 763 546 519 68 95 Midlothian 825 561 531 64 95 Moray 810 613 584 72 95 North Ayrshire 1 089 152 696 64 93 North Lanarkshire 2 632 1 757 1 632 62 93 Orkney 827 665 638 T1 96 Perth and Kinross 1 011 674 602 60 89 Renfrewshire 1 415 994 932 66 94 Scottish Borders 845 663 633 15 95 Shetland 814 653 639 79 98 South Ayrshire 878 624 591 67 95 South Lanarkshire 2 381 1 565 1 479 62 95 Stirling 792 612 554 70 91 West Dumbartonshire 755 509 462 61 91 West Lothian 1 245 875 810 65 93 Total 44 485 30 661 28 604 64 93 Scottish Household Survey Fieldwork outcomes 2003 2004 3 Weighting Two types of weighting are potentially necessary with a sample of this kind The first is intrinsic to the survey design and represents weights necessary to compensate for unequal probabilities of selection for individuals households or other units of analysis The second may be necessary to counteract the effects of non response bias Although these represent two di
315. s Count 431 73 1 1877 within Banded ayu cae ni es auull 24 496 12 096 9 1 9 9 12 5 7 1 12 7 Taxi minicab Count 27 1 75 within Banded age of random adult 896 296 596 B596 296 096 596 Fail Cuuril 137 96 938 81 14 426 within Rander Li SPSS Processor is ready H 644 Wi 679 pt Again this table allows us to estimate the true values for all adults We can also use the table on page 27 to work out if differences between age groups are significant 1 e they are unlikely to have occurred by chance The table above shows that 25 of 16 24 year olds walk to work education Based on 613 cases this estimate has an approximate sampling error of 5 We can also see that 13 of 35 44 year olds walk to work education This has an approximate sampling error of 4 Following the rules on page 25 since the difference between the estimates 12 1s greater than the sum of the errors 9 we can say that this difference is significant 1 e we can be confident that among the population as a whole 16 24 year olds are more likely to walk to work education than 35 44 year olds Page 52 SHS Lite User Guide Version 1 0 8 5 Example 5 Selecting Specific Cases You may wish to use specific data only This example demonstrates how to select cases only in the local authority of Clackmannanshire First we are going to find out what the current values are for the local authority or a variable e Select Utilities Variables fro
316. s and train services perceptions of bus and train services travel diary inc experience of congestion RF Volunteering Convenience of Services eeeeeeeeeeieeeee eiie eene seen nnne nnn nnmnnn nnmnnn nnn n nnne nhan nnn 35 Volunteering convenience of local services RG Health and DISAB li 36 Longstanding health problems or disability activities found difficult aids and adaptations available and required home helps provision of care smoking RH Random Adult Employment sivisvcncdscdentdacsinivensdievenasiudsvsvavavnddontvbuwanadwus a adana ehana nadaan aa ae aaa aaa 38 Participation in the labour market period of retirement or unemployment number of jobs Ri R ndom ume 40 Sources and amounts of income from employment benefits and other sources employment and self employment Scottish Household Survey Questionnaire April 2003 to December 2004 PART ONE HIGHEST INCOME HOUSEHOLDER OR SPOUSE PARTNER HA HOUSEHOLD COMPOSITION testo ENTER 6 DIGIT ADDRESS NUMBER NENNEN numbhh HOW MANY PEOPLE ARE THERE IN YOUR HOUSEHOLD INCLUDING ANY CHILDREN OR BABIES NENNEN Ask HA1 for each member of the household HA1 COULD YOU TELL ME YOUR NAME THE NAME OF PERSON NUMBER HA1 1 HA1 10 a HAIN PLEASE COULD YOU TELL ME THE NAMES OF THE PEOPLE WHO ARE HOUSEHOLDERS THAT IS
317. s could only give one answer to the questions Some questions allow multiple answers For example question rb2 asks what aspects of their local area the respondent likes This can have many responses These multiple responses are stored in separate variables each of which has a Yes No response referred to as a dichotomy or a range of responses SPSS provides a way of analysing each respondent s multiple responses In this example we are going to look at the aspects well liked within your local area Before we can do this we need to group together all the rb2 variables This is known as defining a multiple response set We will then look at creating a multiple response frequency and crosstab 8 12 1 Define a Set e Select Analyze Multiple Response Define Sets from the menu bar e Select all rb2 variables rb2a rb20 and click gt see Figure 89 To select all of the rb2 variables click rb2a scroll down until you can see rb2o e Note and holding the Shift key click rb2o e Set the Dichotomies Counted value to 1 e only counting Yes responses which have a value of 1 e Type the name rb2 for the multiple response set e Type the label Aspects liked within local area for the multiple response set Figure 89 Multiple Response Sets Define Multiple Response Sets Set Definition db rb3j Variables in Sek rb3i db rb3k bza Help 4 rbial 4 tb2b d bam lt db rb2c All rb2 variables added 4 bn a rb2d Mult R
318. s to display the Crosstab table see Figure 94 and Figure 95 Figure 94 Start of the multiple response crosstabulation Output2 SPSS Viewer File Edit view Insert Format Analyze Graphs Utilities Window Help Suls S 9 Ble Multiple Response ac ODLC ROO GOSCICORO BOUSCLCGASIV IOOD NOTES RB2 tabulating 1 Aspects liked within local area by TENURE Housing tenure Page 1 of 4 TENURE Owned ou Buying v Rent L Rent H Rent p tright ith help A SH Co op rivate 1l Row of andl Total RBZ 2 REZA 1107 Area well maintained RBZB 1730 Good public transpor RBZC 2096 Nicely landscaped op SPSS Processor is ready Figure 95 Remainder of the multiple response crosstabulation i Output2 SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help salan 3 De b l I l DIG Is 8 Continued o ter CROS Sof 2B UL AT 1 ON t t RB2 tabulating 1 Aspects liked within local area by TENURE Housing tenure Page 2 of 4 TENURE RB2 RBZ rea well maintained RBZ2B Good public transpor 8 SP55 Processor is ready SHS Lite User Guide Version 1 0 Page 87 8 13 Example 13 Computing a New Variable This example takes you through the steps of analysing whether the use of recycling facilities is related to the number of cars in the household It starts by creating a crosstab table to see if a relationship exis
319. sampling frame for general population surveys of this kind The principal advantages of the PAF are completeness it is estimated to miss the addresses of only 2 of the adult population and is updated every three months and lack of bias those addresses which are missing from the PAF are not as likely to be concentrated among particular types of people There are however a number of issues arising from its use Deadwood The Small User File of the PAF which forms the basis of the sample of addresses is known to contain a number of addresses that are not residential usually small shops and offices or which have been demolished or are unoccupied The extent of deadwood in the PAF varies by area but is usually estimated at between 10 and 13 in national samples of this kind This is accounted for by drawing Scottish Household Survey Methodology 2003 2004 slightly more addresses than the target of a 70 response rate would suggest Thus for every 100 interviews to be achieved 160 addresses are issued to interviewers rather than the 140 suggested by a response rate of 70 In practice the number of additional addresses selected to allow for deadwood varies by local authority based on the contractors experience of SHS fieldwork carried out in 1999 2000 the first two years of the SHS and the most recent data available when the sample design for 2003 2004 was being developed These figures are published in the Fieldwork outco
320. se which is then scaled so that the number of weighted cases is the same as the total number of random adult interviews are summarised below 2 This weight incorporates the local authority weight described earlier This is necessary for all analyses whether of households or individuals if the Scottish population resident in private households is to be represented accurately The way in which weights are combined is further described later in this section 13 Scottish Household Survey Fieldwork outcomes 2003 2004 Table 3 2 Weights to account for disproportionate sampling and differences in random adult response rates by local authority and quarter 2003 2004 2003 2004 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Aberdeen City 1 29 1 17 1 21 1 38 1 10 1 28 1 22 1 19 Aberdeenshire 0 92 1 01 0 83 0 97 1 10 1 02 0 86 0 99 Angus 0 86 1 02 1 16 1 26 0 87 1 39 1 13 1 13 Argyll and Bute 1 15 0 87 1 07 1 05 0 87 1 13 0 87 1 16 Clackmannanshire 0 55 0 58 0 60 0 44 0 46 0 49 0 38 0 56 Dumfries and Galloway 0 88 1 09 0 97 0 99 0 76 1 43 1 23 1 21 Dundee City 1 41 1 10 1 07 1 18 1 07 1 34 1 23 1 82 East Ayrshire 1 04 1 17 1 11 1 46 0 92 0 84 1 14 0 84 East Dumbartonshire 1 29 0 79 1 09 1 24 1 09 0 86 1 03 0 80 East Lothian 0 97 1 16 1 00 0 82 1 28 0 79 1 32 0 77 East Renfrewshire 0 68 0 84 0 80 0 54 0 61 0 89 0 78 1 10 Edinburgh City 1 32 1 15 1 24 1 31 1 32 1 03 1 22 1 30 Eilean Siar 0 28 0 26 0 43 0 15 0 28 0 37 0 31 0 31 Falkirk 1 07 1 25 0 99 1 02 0 97 0 97 0 96
321. se 7 5 into fewer broad categories and collapse numcars because currently there 1s no difference between having two or three or more cars Recoding the rf5 variable will allow us to decide on the categories we would like to analyse We will have 3 broad categories Frequent once a month or more Infrequent less than once a month but not never and Never Before we recode the rf variable we are going to find out what its current values are e Select Utilities Variables from the menu bar or click e Select the 7f5 variable and take note of the values in use see Figure 99 e Select Page 90 SHS Lite User Guide Version 1 0 Figure 99 Values of the rf5 variable E Variables Variable Information Missing Values none Measurement Level Ordinal Value Labels 1 00 Ever day 2 00 At least once a week 3 00 At least once a month 4 DO within the last 6 months 5 00 Within the last year 9 00 Don t know Can t remember Ga Ta Faste Close Help To recode the variable e Select Transform Recode Into Different Variables from the menu bar Select the 7f5 variable and click gt e Enter the name recycle for the output new variable e Enter the optional label How often respondent recycles reduced rf5 for the output new variable e Click see Figure 100 Figure 100 Recoding 7 5 into new variable recycle lll Recode into Different Variables M ic Variable Output Variable umernc 4 arabl
322. sehold members are recorded as White Within the detailed non White categories the differences between the SHS and the Census are only around 0 1 The largest difference between the Census and the SHS is in the proportions recorded as White Scottish and White Other British Table 4 5 Comparison of ethnicity in Census 2001 and 2003 2004 SHS of all household 9o of Census members population 2001 2003 2004 SHS White 98 0 98 2 Scottish 88 1 87 3 Other British 7 4 8 7 Irish 1 0 0 8 Any other White background 1 5 1 4 Mixed 0 2 0 2 Any mixed background 0 2 0 2 Asian Asian Scottish or Asian British 1 3 1 3 Indian 0 3 0 2 Pakistani 0 6 0 5 Bangladeshi 0 0 0 1 Chinese 0 1 0 2 Any other Asian background 0 3 0 3 Black Black Scottish or Black British 0 1 0 2 Caribbean 0 0 0 0 African 0 1 0 2 Any other Black background 0 0 0 0 Other ethnic group 0 2 0 2 Urban rural classification Analysis of the Scottish Household Survey makes extensive use of the Scottish Executive s classification of areas into different degrees of urbanity and rurality This classifies settlements according to their size and for settlements with a population of less than 10 000 their proximity to a settlement with a population of 10 000 or more Table 4 6 compares the urban rural classification of the SHS sample for 2003 2004 with the profile of all addresses sampled for the survey the profile of eligible addresses and participating households This shows that the 20
323. sh MOSAIC classification Scottish Household Survey Fieldwork outcomes 2003 2004 includes information about response rates weighting factors establishing the quality of the SHS results by comparing them with those of the Census and other surveys the survey s design factors and complex standard errors Scottish Household Survey Questionnaire April 2003 to December 2004 shows all the questions apart from repetitive details within the Travel Diary and sections which identify and correct errors to whom they relate and the circumstances in which certain questions are not asked Scottish Household Survey Methodology 2003 2004 This document deals with the survey methodology for the period 2003 2004 On the whole the methodology for the survey remains fixed for each two year sweep and over the life of the survey since 1999 there have only been minor changes to the methodology following refinements to the sampling assumptions Reporting conventions In tables showing percentages as whole numbers zero values are displayed as a dash values between 0 and 0 5 are displayed as 0 and values between 0 5 and 1 are rounded to 1 Where percentages are shown to one or more decimal place the final digit will have been rounded up or down As a result of rounding within tables the sum of individual items may not equal the totals for rows or columns Scottish Household Survey Methodology 2003 2004 2 Sampling The requir
324. sible for you to reassign the values of an existing variable to a new variable For example you could group household ages into a new variable containing age range values An illustrative example of how to do this is given in Section 8 7 on page 62 For easy reference however the basic steps that you would need to take are listed below Recode values of a variable into a new variable e Select Transform Recode Into Different Variables from the menu bar e Select the variable you want to recode e g randage and click gt You can select a variable by typing the start of its name instead of scrolling Note through the list of variables For example type r twice to select the randage variable e Enter a name for the output variable e g randage2 e Enter an optional label for the output variable e g Age ranges of random adult cia Lene Figure 12 Recode into different variables after performing the steps listed above W Recode into Different Variables M ic Variable gt Output Variable eee Se ceptis est dolis tt TI TRATTE el Mame ab samesex b hhwork landage gt randagez Ex numgen randage Lhange dg generate Label Age ranges af random adult 4 hihage Optional label g g g hihsex Ex hih stat IF dg eth hih aiii Old and New Values agerband Reset Cancel Help Variable to be recoded list Click Ed and New Values t5 recode the values e Specify the Old Valu
325. sign effect 24 Dichotomies 84 dimension 43 82 83 Estimated Sampling Error table 24 Frequencies 29 Frequency Chart 31 Frequency Table 29 Full datasets 111 General enquiries 111 Household Transport some Scottish Household Survey results 114 IND WT 20 independent variable 29 KID WT 20 LA WT 20 layers 42 Layers 44 Looping Questions 13 missing values 13 Multiple Frequencies 49 Multiple Responses 84 New Value 62 91 95 NEWVARIABLES 16 non contact 26 non response 26 Numeric Expression 100 101 Office of Chief Statistician 111 Old Value Range 62 91 95 outline pane 40 output file 45 Output window 39 percentage 24 pivot tables 41 SHS Lite User Guide Version 1 0 Pivoting Trays 42 82 Random Adult data 20 random sample 23 Random Schoolchild data 20 Recoding 62 Reporting conventions 29 representativeness 23 sampling fraction 24 Scotland s People Results from the 2003 Scottish Household Survey 113 Scottish Executive Statistics 111 Scottish Household Survey Project Manager 111 Scottish Household Survey Travel Diary results 114 Scottish Household Survey Fieldwork Outcomes 2003 113 Scottish Household Survey Methodology 2003 2004 113 Scottish Household Survey Questionnaire April 2003 December 2004 113 Selecting Specific Cases 53 Sets 16 SHS Lite Variable Listing pdf 16 single frequency table 48 size of the sample 2
326. son If householders have exactly the same income the older is taken as the household reference person The selection of the random adult is slightly more complex than this The random adult needs to be one of the adult household members who is aged 16 years or over is normally resident during term time if a student or has not been living outside of the household for 6 months or more 12 Scottish Household Survey Methodology 2003 2004 3 Data collection methods and instruments 3 1 Use of Computer Aided Personal Interviewing CAPI In common with many other large scale government surveys the SHS is carried out using Computer Aided Personal Interviewing CAPI This offers a number of important advantages over traditional pen and paper interviewing for a survey of this kind These include the following e CAPI allows greater complexity in questionnaire design since routing and loops in the interview can be automated and thus effectively hidden from the interviewer It also eliminates the need for complex selection procedures during an interview since random selection can be built into the program e Overall data quality is improved because the need for a separate data entry stage is eliminated and because automatic skip and fill routines and range and logic checks reduce the scope for interviewer error e Preliminary data are available at the end of each day s fieldwork and the lack of a separate data entry stage all
327. sources Potential internet use Personal banking financial investment activities Orignal Randomadult ind wt X January2001 ick 2001 2002 Householdresources Potential internet use Playing or downloading games Origna Random adult find wt X January2001 O c8 2001 2002 Householdresources Potential internet use Playing or downloading music Origna Random adult jind wt X January2001 ic8m 2001 2002 Householdresources Potential internet use Using chat roomsorsites Original Random adult find wt X January2001 O irn 2001 2002 Householdresources Potential internet use Using e mail TT Origna Randomadut jind wt X January2001 O rco 2001 2002 Householdresources Potential internet use Using or accessing government official sites Original Randomadult find wt X January2001 O Potential internet use Voting Original Randomadult ind wt January 2001 J O ic8q 2001 2002 Householdresources Potential internet use Noneofthese Origna Randomadut jind wt X January2001 O lbedstand 1999 2000 Housing jBedroomstandard Derived Household la wt X jFebruay1999 flattype 1999 2000 Housin
328. sprt 1 Checked Teletext Ceefaxfor roadworks congestion Original Randomadut jind wt X JApril2003 P carplanh 2003 2004 Transprt Neverplanned ahead relied on road signs Origna Randomadut find wt X JApril2003 P Icarplani 2003 2004 Transprt Nevergooulhousebound Origna Random adult jind wt X April 2003 carplanj 2003 2004 Transprt None never go to unfamiliar places Origma Random adult jind wt X April 2003 Icarplank 2003 2004 Transprt None someoneelseplanstherouteforme Origna Randomadut jind wt X JApril2003 P Icarplan 2003 2004 Transprt havent made journeys by car van motorcycle or bicycle Original Random adult find wt X JApril2003 P carplanm 2003 2004 Transprt Nome knowtheroute Original Random adult jind wt X April 2003 Icarpann 2003 2000 Transport Other Original Random adult jJind wt April 2003 disbadg 1999 2000 Transprt jPeoplewith Orange Bluebadge Derived Househod la wt X February 1999 April 2003 drivfreq 1999 2000 Transprt Number of full licence holders who drive at least 3 times a week Derived Ho
329. sseecscescscesescusesees 27 6 ANALYZING THE DATA pir a 29 6 1 USING TABLES lt c ccccccstseruaneaaneantaunnaadenseienidinne ontemancereanainewoantinceneanealoeweaaslenssinonta veweasiamsaeacaaamonesdeaaceaasaeaneren 29 6 2 FREQUENCIES so ies aiguacrorsnvrvsiecatatlecin sain ruar EEEE apa cnnoadeieroneiceatslonawse tues binge ausennabtenasboatsionavaatensbinasaencmestdacedbeaatenieomet 29 02 1 Cheating a Freguency Table enii 29 6 2 2 Creating a Frequency Chart jpsscccccateccsnaxsscoassissersvanascondsenneanmacoasceducepbawasineneadeaeneanaacaresduesasanedesersnts 31 6 3 Te UM o a E E A 32 OL PCAN GHC Oss ta PAD Me ccp a eao eiiiai 32 6 92 Creating a Three Way Crosstab Table cciccrssisssasasncosusenesasagncagevagigusasadasntarassondecaganetarueanneonadenenss 34 5 MEME PU e TE ea E E 36 7 WORKING WITH OUTPUT eesecsesecccseseoscsescosesecccseseosesesccseseoscseseocesecseseosesesccsesesecseseoseseseosesessesosesesees 39 7 1 TEE VIEWER WINDOW se ces ts tees cc we ces eases sce noes te se ME IUE M ME ee nes 39 7 1 1 Changing the Width of the Outline Pane esses enne nnn nennen 40 FIN Ne Navigating to a Table or Chart eeeeeeeseissssssssessseeeeen nennen nennen nennen nnn nnn nnne nennen 40 7 1 3 Hiddins a Table OF Chall RTL 40 7 1 4 Changing the Output Order eesssssssisssssseseseeee nennen nennen nennnn nn nnn rrr nnn n nenne eee s sensn
330. ssion to 3 4 etc Once you have created all nine of the combination expressions we are going to create Value Labels for them e Select the Variable View tab L Data view Variable View e Scroll down to the car_rec variable Page 102 SHS Lite User Guide Version 1 0 car rec will be displayed as the last variable in the list You can press CTRL V on the keyboard to navigate to it Note e Select the values cell for the car rec variable e Click to open the Value Labels dialog box e Enter the Value e Enter the Value Label No car never recycles see Figure 121 Figure 121 First value label to be added Value Labels Value Labels Value 1 Value Label No car never recycle _ Cancel pe E amp Gick e Repeat these steps to add the remaining values see Figure 122 Value 2 Label No car infrequent recycling Value 5 Label No car frequent recycling Value 4 Label One car never recycles Value 5 Label One car infrequent recycling Value 6 Label One car frequent recycling Value 7 Label Two or more cars never recycles Value 8 Label Two or more cars infrequent recycling Value 9 Label Two or more cars frequent recycling cio MN Figure 122 All value labels added Value Labels Value Labels Value Value Label Cancel Help 1 00 Ma car newer recycles 2 00 No car infrequent recycling 3 00 No car frequent recycling 400 Une car never recycl
331. st Old Value Range option showing 2 through 3 Continue Cancel Help Figure 108 Old values have been assigned a new one Recode into Same Variables Old and New Values Old value Mew Value C Value y Value System missing System missing Ald lt gt N d gt Mew Sustem or user missing thru 3 gt 2 Range added t Range All other values Continue Cancel Help e Click to return to the Recode dialog box Click We are now going to edit the Value Labels for the numcars variable A Value Label is simply descriptive text to help you identify the value e Select the Variable View tab L L I Data view Variable View e Scroll down to the numcars variable numcars is displayed near the end of the list You can press CTRL Y on the keyboard to navigate to the end and then scroll upward until you see it Note SHS Lite User Guide Version 1 0 Page 95 e Select the values cell for the recycle variable e Click to open the Value Labels dialog box e Select the 3 00 Three or more label see Figure 109 e Click the button Figure 109 Value Labels dialog box Value Labels Malue Labels Value 3 00 Value Label Three or more e Select the 2 00 Two label see Figure 110 e Edit the value label to read Two or more e Click the button see Figure 111 Click Figure 110 Value label being edited Value Labels Value Labels Edited value labe
332. stinct rationales for weighting in terms of analysis the different weights are combined into a single weighting variable for each unit of analysis In the SHS there are five weights that can be used four in the main survey dataset and one specific to the travel diary However LA_WT and IND_WT are used for most analyses with the others used for smaller specific subsets of the sample e LA WT which is used for analysis of data about the household and data collected from or about the HIH and spouse This includes all variables asked in the first part of the interview apart from the questions about the random schoolchild and the random child receiving childcare e IND WT which is used for analysis of data in derived variables about the random adult or collected from the random adult This includes all variables in the second part of the interview e KID WT which is used for analysis of questions related to the random schoolchild HE9 to HE17N inclusive see Questionnaire e RANKIDWT which is used for question HE5 where a child receiving childcare is selected at random from all the children receiving childcare in the household e TRAV WT contained in the travel diary data which is used for analysing that data Design weighting Weighting for analysis based on household data The weight for analysis of household data LA WT has two main elements Firstly it is necessary to weight up those local authorities which
333. t match needs Origna Randomadut find wt X JApril2003 Other Write in Original Randomadult ind wt j Aprl 2003 Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed aii a S oL DF AM a aa a rallfn 2003 2004 Housing approached Original Random adult ind wt April 2003 rallna 2003 2004 Housing Total time threatened with homelessness in past two years Original Randomadult ind wt X lAprl2003 rallnb 2003 2004 Housing Total time actually homeless in past two years jOrignal X jRandomadult ind wt lAprl2003 ralinc 2003 2004 Housing Total time slept rough in past two years Origna X jRandomadult ind wt lAprl2003 ralind 2003 2004 Housing Total time spent staying with friends or relatives in past two years Original Randomadult ind wt X lAprl2003 rallne 2003 2004 Housing Total time in hostel refuge B amp B in past two years jOrignal X jRandomadult ind wt X lAprl2003 rallnf 2003 2004 Housng Total time in other insecure accommodation in past two years Original Randomadult ind wt X lAprl2003 J ra
334. t of all the schools in the local Fairly satisfied 2 authority area in which the household lives but if the Neither satisfied nor dissatisfied 3 school is not on that list questions HE6 to HE8 are asked Fairly dissatisfied 4 The CAPI system chooses one schoolchild at random from Very dissatisfied 5 all those in the household who were described as at school in question HA7 If there are no schoolchildren in PEIO PON OES elt CY AVEO f SCHOOL the household the script goes to HF1 Probe for main method HE6 IN WHICH LOCAL AUTHORITY DOES CHILD GO l Walking 1 TO SCHOOL Driver car van 2 LASCHOOL x assenger car van 3 Aberdeen City A Motorcycle moped 4 Aberdeenshire B Bicycle 5 Angus C School bus 6 Argyll and Bute D Works bus 7 Borders E Ordinary service bus 8 Clackmannshire F Taxi minicab 9 Dumfries and Galloway G Rail 10 Dundee City H Underground 11 East Ayrshire I Ferry 12 East Dumbartonshire J Aeroplane 13 East Lothian K Horse riding 14 East Renfrewshire L Other 15 EUMD iN HE13 WHY DOES CHILD USE THIS METHOD OF Fife O TRAVEL TO SCHOOL HE13A HE13Q Glasgow City P rare ma Highland Q Close nearby not far away 1 Inverclyde R Most convenient 2 Midlothian S Travel with friends 3 Moray T Safest method 4 North Ayrshire U Quickest method 5 North Lanarkshire V Only method available 6 Orkney IW Too far to walk 7 Perth and Kinross X No pu
335. tation of the National Statistics Code of Practice and related protocols e Safeguarding the confidentiality of data subjects To ensure the efficient and effective delivery of statistics products and services by Making best use of all sources including administrative sources Minimising the burden on data providers through Survey Monitoring amp Advice Ensuring value for money Making best use of Information and Communications Technology Working with other analysts Ensuring effective communication within the Statistician Group e o gt o0 9e Q To develop our workforce and competences Ensuring recruitment of staff with the necessary skills and potential Ensuring development of expertise amongst existing staff Promoting and upholding the standards of the statistics profession e o9 N This is a National Statistics publication This is a National Statistics publication It has been produced to high professional standards set out in the National otatistics Code of Practice and Release Practice Protocol http www statistics gov uk about_ns cop default asp These statistics undergo regular quality assurance reviews to ensure that they meet customer needs They are produced free from any political interference Details of pre release access will be provided in the Scottish Executive Statistics Website under Forthcoming Releases Correspondence and enquiries Enquiries on the Scottish Household Survey should be ad
336. teristics and behaviour of Scottish households both nationally and at local authority level Complete annual datasets are available to the general public from the UK Data Archive To stimulate the use of SHS data particularly amongst local authorities voluntary organisations and academia the Scottish Executive has developed a simplified SHS dataset or SHS Lite with 1 300 variables removed to provide a cut down version It is formatted in SPSS to provide all the necessary statistical functions for useful analysis in a form that is easy to navigate The aim of this training material is to provide potential users and other interested parties with self directed study of the equivalent of a full day course It is supplemented by the SHS Lite data files a copy of the shortened questionnaire a Microsoft Access variable database and an index of variable names It 1s aimed at those who already have a basic working knowledge of SPSS In broad terms it includes an introduction to the structure of the simplified dataset and guidance on how to undertake basic analysis through easy to follow illustrative examples This report has been overseen by the Scottish Household Survey Dataset Working Group and developed by Connie Glass of SCC and Steven Hope of MORI Scotland I would like to extend my thanks to the team and to Connie and Steven for their contributions to this guide Josephine Dean Project Manager Scottish Household Survey Scottish Executive
337. th regular use of cars or vans No car 33 1 car 45 2 or more cars 22 Mode of travel to work incl those who work at from home Car or motorcycle Bus minibus coach or taxi Train underground Other means e g walking and cycling Working at or from home 2003 2001 Census n 2 192 246 households 2001 Census 64 13 14 2004 Labour Force Survey Autumn Mode of travel to work excl those who work at from home Car van minibus works van TO Bicycle 1 Bus coach private bus 11 Rail incl Underground 4 Walk 12 Other incl Taxi 2 SHS weighted by number of adults and local authority size quarter 70 1 12 3 12 2 SHS weighted by local authority size and number of school children in household SHS weighted by local authority size only Census figures are for method of travel to place of study age 5 17 20 2003 2004 SHS n 28 739 75 54 63 n 6 611 n 30 822 33 44 23 2003 2004 SHS n 14 769 59 13 3 16 8 2003 2004 SHS n 13 429 65 2 13 3 15 2 Scottish Household Survey Fieldwork outcomes 2003 2004 Ethnicity When comparing the ethnic composition of all household members with that of the population as a whole as recorded in the 2001 Census there is good agreement between the Census and the 2003 2004 SHS For example in the Census 98 0 of the population is recorded as White In the 2003 2004 SHS 98 2 of all hou
338. the numcars variable we are going to find out what its current values are e Select Utilities Variables from the menu bar or click e Select the numcars variable and take note of the values in use see Figure 105 e Select Figure 105 Values of the numcars vairiable E Variables Variable Informations niumcars Label Number of cars household has access to Type F10 2 Missing Values nane Measurement Level Scale Value Labels 00 None 1 00 One 2 00 Two 3 00 Three or more Ga Ta Faste Close Help To recode the variable e Select Transform Recode Into Same Variables from the menu bar e Select the numcars variable and click gt see Figure 106 Figure 106 Recode numcars into same variable E Recode into Same Variables Numeric Variables 4 disbadg 4 driv req gt drivrare 4 lic dis b lic full 4 lic nev dq llc prov 4 lic sus g licence ab numwveh ka Old and New Values Old and New Values e Click to recode the values Page 94 SHS Lite User Guide Version 1 0 e Select the first Old Value Range option and specify the values 2 through 3 see Figure 107 e For the New Value enter 2 see Figure 107 e Click ei Figure 107 Using the Range through option Old Value Mew Value C Value f Value 2 Sustem missing System missing T Old gt Mew System ar user missing f Range Add 2 ooo o through HEN pee t Range Fir
339. them Can t say 98 Ask RI17 if self employed Others go to RI56 RI17 ABOUT HOW MUCH AFTER TAX AND OTHER DEDUCTIONS DO YOU TAKE OUT OF THE BUSINESS FOR YOUR OWN USE Write in to nearest Accept gross if net not possible No usual pay 999996 Don t know 999998 Refused 999997 RI19 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI20 CODE FOR Net figure given 1 Gross figure given 2 RI20 CAN YOU GIVE ME AN ESTIMATE OF HOW MUCH YOU HAVE RECEIVED IN THE LAST YEAR Write in to nearest No usual pay 999996 Don t know 999998 Refused 999997 Rl21 HOW MANY HOURS A WEEK DO YOU USUALLY WORK Can t say 98 Ask those with more than one job coded at RH18 otherwise skip to RI56 HI22 THINKING NOW ABOUT ANY OTHER JOBS YOU DO IN TOTAL WHAT IS YOUR USUAL PAY AFTER ANY DEDUCTIONS FOR TAX NATIONAL INSURANCE AND SO ON FOR THESE OTHER JOBS Don t know 999998 Refused 999997 RI23 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4 4 weeks 5 Calendar month 6 Year 7 Other please specify 8 RI24 CAN YOU TELL ME YOUR USUAL TOTAL NET PAY BEFORE DEDUCTIONS FOR THESE OTHER JOBS Write in to nearest o Don t know 999998 Refused 999997 RI25 HOW LONG A PERIOD DOES THAT PAY COVER An hour 1 A day 2 A week 3 Fortnight 4
340. thin Banded age of random adult Count within Banded age of random adult Count within Banded Banded age of random adult Total 5 6 10 29 13 9 10 3 13 7 16 7 11 8 13 36 1 63 896 67 196 67 196 50 096 61 496 SPSS Processor is ready We can see in this table that all of the percentages are based on small numbers of cases The table on page 27 shows that even for 100 cases the sampling errors are large and it would not be possible to say that any of the differences in this table could not have occurred by chance The variables need to be made into smaller groups age bands covering broader ranges and broader categories of modes of transport in order to investigate whether significant differences exist This can be achieved by recoding the data Note Note To reset the dataset choose Data Select Cases from the menu bar or click Compare the results shown in Figure 44 and Figure 48 and you will see a large difference when we look at just the Clackmannanshire local authority and select the A cases option see Figure 46 SHS Lite User Guide Version 1 0 Page 55 8 6 Example 6 Splitting the File 8 6 10 Frequency Example In this example we are going to split the data file by banded age of random adult agerband We will then create a frequency table showing how the random adult usually travels to work education rd3 The output will be grouped by banded age of random adult e S
341. tics contacts 0141 242 0273 The Economy The Economy sd 0131 244 7033 Environment planning amp local 0131 244 0445 government staffing Equality 0131 244 0442 0131 244 0442 0131 244 2225 Other contacts for Scottish statistics 0131 314 6337 The Scottish Funding Councils for 0131 313 6575 Higher and Further Education General Register Office for Scotland Vital statistics and publications Population statistics census statistics or digital boundary products 0131 314 4243 0131 314 4254 For general enquiries about National Statistics in the United Kingdom Government contact the National Statistics Public Enquiry Service on 020 7533 5888 minicom 01633 812399 Email info 9 statistics gov uk Fax 01633 652747 Letters room DG 18 1 Drummond Gate LONDON SW1V 2QQ You can also find National Statistics on the internet go to WWW statistics gov uk If you would like to be consulted about new or existing statistical collections or to receive notification of forthcoming statistical publications please register your statistical interest on the Scottish Executive ScotStat web site at www scotland gov uk scotstat Current staff names e mail addresses and the publications listed below as well as a range of other statistical publications can be found on the Scottish Executive Web site at www scotland gov uk stats Further information on the General Register Office for Scotland is availabl
342. tish Household Survey Questionnaire April 2003 to December 2004 PART ONE PART TWO HIGHEST INCOME HOUSEHOLDER HIH OR SPOUSE PARTNER FIA HOUSENOIG COMDOSINION Po c 6 Relationship to HIH age sex working status marital status ethnicity religion need for translation FIB ACCOMMOGAU ON M 8 Property type number of floors tenure HC Sharing accommodation Internet access RECYCIING c seesecceeeeeeeceeeeeeeeeeneeeseeeseeeseeaeeeseeeaseeseeaneeees 8 Sharing rooms whether share by choice central heating internet access and use recycling FID Driving and Trans DOME et n 9 Orange Blue badges access to cars and bicycles access to bus services HE Young people in the household aaa eaaa EAEAN ENARA Naaa Naa ARAA ANAKARA AKARA A ANNEDE 10 Childcare satisfaction with schools travel to school reasons for not using public transport for travel to school HF Health and disability Sreo a e eaae swan aca aaa a aa aa aeaa D 12 People with longstanding health problems or disabilities conditions receipt and provision of care hours of care HG Employment or PI aissa d e bao acea Rt ve Dco Ls E kav apecbes et one P Ee e P ESe outs 13 Participation in the labour market period of retirement or unemployment number of jobs ug Household p oo n 0w 0 SS 15 Sources and amounts of income from employment
343. to bus stop 18 Work patterns e g shifts 17 Live centrally within walking distance 19 Other please specify Other please specify ASK RD7 IF RD3 2 OR 3 car or van driver or passenger Ask RD9 for those coded 2 at RD7 OTHERS GO TO WORKYR RD9 WHAT ARE THE MAIN REASONS IT WOULD NOT RD7 WOULD IT BE POSSIBLE FOR YOU TO USE BE POSSIBLE TO USE PUBLIC TRANSPORT PUBLIC TRANSPORT FOR THE JOURNEY TO OR RD9A Rb9AC FROM WORK SCHOOL COLLEGE UNIVERSITY Probe fully Yes 1 Takes too long 1 No 2 Inconvenient 2 No direct route 3 Ask RD8 if coded 1 at RD7 Use my own car 4 Need a car for at work 5 HD8 WHAT ARE THE MAIN REASONS YOU DO NOT Cost 6 USE PUBLIC TRANSPORT RD8A RD8AC Wone nsesslimsuat Hore E Probe fully Public transport unreliable 8 Takes too long 1 Lack of service 9 Inconvenient 2 Too infrequent 10 No direct route 3 Health reasons 11 Use my own car 4 Difficult access on off steps 12 Need a car for at work 5 o Mosa enn i Cost 6 ncomfortable Work unsocial unusual hours 7 No need 15 Public transport unreliable 8 ais to E ie Lack of service 9 ISIKE waiting Too infrequent dd Long walk to bus stop 18 Health reasons 11 Live centrally within walking distance 19 Difficult access on off steps 12 Other please specify us Mcd nd URS i n Respondents who initially reply inconvenient or use my Mo s 2 TE 1 2 own car are asked a follow up question to understand why Preferito w
344. ts It then recodes the variables to make it easier to establish a relationship and finally computes a new variable from the recoded variables We are now going to create a crosstab table to show frequency of respondents use of recycling facilities 7 5 by number of cars household has access to numcars e Weight the data using ind wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Crosstabs from the menu bar or click the Dialog Recall button if you have previously used Crosstabs e Click if necessary to clear existing variables e Select 7 5 and click gt to add it as a row variable see Figure 96 e Select numcars and click 2 to add it as a column variable Figure 96 rf5 and numcars added as row and column variables Il Crosstabs Haw s d ind wt 4 kid ak d kid wit gt 4 dyear dateint Layer 1 af 1 4 month ab year Fievous Hen At la 4 shs Bcla g newrural v LY Display clustered bar charts Colurnn s qi MUM ars Suppress tables Statistics Cells Format Page 88 SHS Lite User Guide Version 1 0 For Crosstab cells you need to specify which percentages to use Selecting all percentages would create a very large table so we will use only column percentages e Select to display the Cells dialog box see Figure 97 e Select the column percentages option Cont e Select to return to the Crosstabs dialog box e Select The Viewer window n
345. tto e boit rane aati a ect o Lastest bus Luo ctum cLo Lg odes ee 109 TO CONTACT DETAI S eA 111 Iie SHS PUBLICA TIONS IN 200 eii E E O E EOE 113 WF GENERA aanne aT E AE 000 5 0200 0 00 00 AOE E 113 11 1 1 Scotland s People Results from the 2003 Scottish Household Survey 113 11 1 2 Scottish Household Survey Methodology 2003 2004 cccccccssecceccecceeeeeeeaeseeesesseeeeceseeeeeess 113 11 1 3 Scottish Household Survey Fieldwork Outcomes 2003 eese 113 11 1 4 Scottish Household Survey Questionnaire April 2003 December 2004 113 14 2 TRANSPORT RELATED eoo etos PEU er Em dep dem duode E ne cues eta denote ud ad venue edt enti unb UR S qui n deba 114 11 2 1 Household Transport some Scottish Household Survey results esssssssssss 114 11 2 2 Transport across Scotland some Scottish Household Survey results for parts of Scotland 114 HM JBUS and COACH StS OO eie ERE metitur ve Crue t stud utu nak Manatee acon 114 11 2 4 Scottish Household Survey Travel Diary results esses 114 12 INDEX Gc 115 1 Introduction The Scottish Household Survey SHS is a major survey of the people of Scotland It was first conducted in 1999 on behalf of the Scottish Executive and has been conducted on a continual basis since It provides information on the composition charac
346. ude if case satisfies condition option e Click within the white box below this option and type the following expression exactly numcars 0 and recycle 3 see Figure 118 Figure 117 Numeric Expression set to 1 Ill Compute Variable Target Variable Mumeric Expressiary car rec Type amp Label a Ea Es 2 8 3 Functions La a gt A 5 5 ABS numexpr EN ES il Eu 3 ANY test value value ARSIM numexpr a a D ARTAN numexpr Tr COFNORM 2value gt 0 Delete cpr BERNDULLIAp If If button OF Paste Reset Cancel Help Page 100 SHS Lite User Guide Version 1 0 Figure 118 If cases Compute Variable Include if case satisfies condition c numcars 0 and recycle 3 Expression to be typed lt gt 7 8 9 Functions 4 gt A 5 6 465 numexpr ZA feel aal enu jl 0 El ARTAMN numespr ose SER 4 numbhh v Cancel Help Cont e Select to return to the Compute Variable dialog box e Select The Viewer window will open automatically when you select the OK button Note We do not need this window just now so simply close it without saving the changes This creates the first of our 9 combinations We have to create the other conditions in the same way e Select Transform Compute from the menu bar or click the Dialog Recall button if you have previously used Compute Variable e The Target Variable will still be s
347. uestion is asked about a number of people the extra variable names for the question are shown in brackets at the end of the question For example HA5 asks for the age of each household member so the relevant variable names are HA5_1 through to HA5_10 with the extension indicating the household member the variable relates to persons 1 to 10 Where the extra variables relate to a question where a multiple response is allowed letters rather than numbers are used in the variable names to signify the difference from questions relating to different household members For example variables relating to RB3 neighbourhood dislikes are called RB3A to RB3R with each one relating to a different possible dislike about the neighbourhood In a few cases the way in which the variables are named is not consistent with these general conventions for example following new questions being added in parts of the questionnaire where the names of the existing variables are such that they prevent the new ones being named in accordance with the convention One section of the questionnaire is not included in its entirety namely the travel diary which deals with respondents travel patterns in the previous 24 hours The travel diary is a highly complicated set of questions containing multiple loops and complex routing which is difficult to reproduce on paper in a form that would be easily comprehensible For this reason only the section of the diary re
348. ularly to support the work of the Scottish Executive s transport housing and social justice policy areas and the work of the Scottish Parliament e to permit disaggregation of such information both geographically and in terms of population sub groups such as families with children or the elderly e to allow the relationships between social variables within households to be examined This will support cross departmental and inter departmental policies such as those on social justice e to allow early detection of national trends e to allow detailed follow up surveys of sub samples from the main survey sample if required Since 1999 the SHS has been carried out by a team from MORI and TNS Social The same team was reappointed when the survey was subject to tender in 2002 Detailed Technical Reports have been published annually covering the survey methodology fieldwork outcomes and the questionnaire used To provide users with the information they require and to limit unnecessary duplication these three aspects of the survey have been split into three separate documents Scottish Household Survey Methodology 2003 2004 includes information about the sample size and design e g stratification and clustering within local authorities data collection methods and instruments the limitations of the data and the Scottish MOSAIC classification Scottish Household Survey Fieldwork outcomes 2003 2004 includes information about respo
349. usehold la wt February 1999 April 2003 drivrare 1999 2000 Transprt Number of full licence holders who drive less than once a month or never Derived Household la wt X February 1999 April 2003 dtime mi 1999 2000 Transprt Drive time mins to nearest population centre with population of 10 000 1 Extera Household JFebruay1999 flex 2003 2004 Transprt Whether some of working hours spent at home Original Randomadut jind wt X JApril2003 P flexi 2003 2004 Transprt jWhetherworksflex time Original Random adult jind wt X JApril2003 flexpc 2003 2004 Transprt 1 Percentage of working hours spent at home Origna Random adult jind wt X JApril2003 Indi9_ 2003 2004 Transprt Amountspentonfuelinpast month Origna Randomadut find wt X April 2003 ihdo0 1999 2000 Transport Any bicycles for use by adults in the household amp Origna Household la wt X February1999 hda1 1999 2000 Transports Time it would take to walk to nearest busstop Original X Household la wt X February1999 hd 1999 2000 Transprt Whether any motor vehicles normally available for private use Original Household la wt X February 1999
350. usly used Frequencies e Click if necessary to clear existing variables e Select the rd3 variable and click gt You can select a variable by typing the start of its name instead of scrolling through the list of variables For example type rd to select the rd3 variable Note Figure 38 The Frequencies dialog box ll Frequencies db hd ariable s ab hdz db hd db hdd ab hell 4 hell 4 he15 d rd uM JP M iw Display frequency tables Statistics Charts Format LK Click LOK The Viewer window now opens to display the Frequency table see Figure 39 Page 48 SHS Lite User Guide Version 1 0 Figure 39 How random adult usually travels to work education Output SP5S Viewer File Edit View Insert Format Analyze Graphs Ukilities Window Help a d S B Elele S 5 How random adult usually travels to work education Cumulative Frequency Valid Percent Percent Walking Driver carvan Passenger carvan Motorcycle moped Bicycle school bus Works hus Ordinary service bus Taxi minicab Rail Underground Ferry Aeroplane Other Total Missing System Total 7 SP55 Processor is ready 8 3 Example 3 Multiple Frequencies You can create Frequencies for more than one variable at the same time by selecting the variables within the Frequencies dialog box e Weight the data using ind wt see Section 8 1 on page 47 e Select Analyze Descriptive Statistics Frequ
351. vated table displaying Pivoting Trays window Fs Output4 SPSS Viewer File Edit wiew Insert Pivot Format Analyze Graphs Utilities Window Help Note How random adult usually travels to work New banded age of random adult Sex of random adult Crosstabulation Mew banded ade of randam adult Bex of random adult 16 to 30 er roc BB to 100 Total How randam adult Walking Count 404 443 854 usually travels to within New banded work age of random adult oe ee ee Count 1062 3738 4851 96 within Mew handed age of random adult 50 0 4 1 T05 67 1 1529 21 1 7234 100 0 Female Haw randam adult walking 1410 usually travels to ithi 4347 57 89 age af random adult Ur LL TT T7 m 2177 5298 43 7518 96 within Mew banded age af randam adult 100 0 100 0 100 0 100 0 ll SPF55 Processor is ready H 371 W 569 pt e Drag the first pivot icon sex of random adult from the Row dimension to the Layer dimension Page 82 SHS Lite User Guide Version 1 0 When you click and hold any pivot icon a screen tip is displayed to indicate which variable the icon represents Note e The table updates automatically see Figure 87 Figure 87 Sex of random adult showing Male in the Layer dimension How random adult usually travels to work New banded age of random adult Sex of random adult Crosstabulation Sex af random adult Mew banded age ofrandomadut oR SEE a E amp 4 Pivoting Trays How random adult Walkin
352. ve the best combination of sample efficiency and cost effectiveness The distinction is made on the basis of population density per square kilometre in each local authority In areas with a population density of 500 or more persons per square kilometre a systematic random approach is adopted In those with a lower population density interviews are clustered Nine authorities fall into the former systematic random category e Aberdeen City e Glasgow City e Dundee City e Inverclyde e East Dunbartonshire e Renfrewshire e East Renfrewshire e West Dunbartonshire e Edinburgh City of In these areas the sample is stratified by Scottish MOSAIC and a systematic random sample of addresses is drawn within each of the resulting strata the stratification by Scottish MOSAIC is described in sub section 2 8 Addresses within these areas are selected in full at the beginning of each two year interviewing cycle They are then grouped into batches on the basis of their postcodes for allocation to interviewers The remainder of this sub section concentrates on procedures for multi stage sampling within the remaining 23 local authorities which are listed in Table 2 1 2 5 Primary sampling unit and cluster size Enumeration Districts EDs are used as primary sampling units PSUs for those local authorities which fall into the category of lower population density EDs were chosen over the main alternative postcode Scottish Household Survey
353. vere Disablement benefit 7 Statutory Sick Pay 8 War Disablement benefit 9 Disability premium with Income Support Housing Benefit 10 Attendance allowance 11 An other benefit for people with disabilities please specify 12 None 13 If no benefits received go to RI67 Otherwise continue If RIB8 4 DISABILITY LIVING ALLOWANCE MOBILITY CONTINUE OTHERS GO TO RI58C HI58BB IN WHICH BAND ARE YOU RECEIVING LIVING ALLOWANCE MOBILITY COMPONENT Higher band 1 Middle band 2 Lower band 3 Don t know 4 If RIB8 3 DISABILITY LIVING ALLOWANCE CARE CONTINUE OTHERS GO TO RI58D RI58C IN WHICH BAND ARE YOU RECEIVING LIVING ALLOWANCE CARE COMPONENT Higher band 1 Middle band 2 Lower band 3 Don t know 4 If RI58 11 ATTENDANCE ALLOWANCE CONTINUE OTHERS GO TO Rl61 RI58D IN WHICH BAND ARE YOU RECEIVING ATTENDANCE ALLOWANCE Higher band 1 Middle band 2 Lower band 3 Don t know 4 Ask RI61 to RI66 for each benefit as necessary RI61 HOW MUCH DID YOU RECEIVE IN BENEFIT LAST TIME YOU RECEIVED IT Don t know 98 Refused 97 RI62 WHAT PERIOD DID THAT COVER Code in grid below Probe for best estimate 1 week 52 2 weeks 26 3 weeks 17 4 weeks 13 1 month 12 2 months 6 3 months 4 6 months 2 1 year 1 Other 99 Don t know 98 RI63 HOW MUCH DID YOU RECEIVE IN BENEFIT LAST TIME YOU RECEIVED IT P Don t know 98 Refused 97 RI64 WHAT PERIOD D
354. view the willingness of members of the public to participate in the survey Performance on each of these elements as well as deadwood is recorded as part of interviewers attempts to secure interviews although there is inevitably interaction between these different aspects of performance Overall performance is summarised in the survey response rate and this is shown below for the 2003 2004 sample This takes account of the continuous nature of the survey The data file for each year will contain a small proportion of interviews conducted on samples drawn in previous years Similarly some of the addresses issued during any year will not be carried out until after the data file has been closed for analysis These interviews are carried into the next data file The response rates therefore report the outcomes for addresses sampled for a given period regardless of when the interview was carried out Table 2 3 Summary of outcomes at issued addresses for 2003 2004 sample Frequency Percent Valid Percent Complete interview 30 661 62 5 68 9 Interview partial interview achieved but data deleted 108 0 2 0 2 No contact with anyone at the address 5 016 11 2 12 4 Office refusal 659 1 3 1 5 Refusal by selected respondent 5 10 11 6 12 8 Refusal by proxy 396 0 8 0 9 Broken appointment no recontact 190 0 4 0 4 Ill at home during survey period 300 0 6 0 7 Away in hospital during survey period 313 0 6 0 7 Language 22 0 0 0 0 Other non response 609 1
355. what should be the minimum size for an ED and how should smaller EDs be dealt with Scottish Household Survey Methodology 2003 2004 In relation to the first of these questions it was decided that 61 households from the 2001 Census count should be considered the minimum for inclusion as a separate PSU This implied interviewing at most about 20 of households in the smallest PSUs which was felt to be acceptable given that these EDs lay in areas with lower density of population Typically 11 of EDs within the areas covered by clustering contained 60 or fewer households However this does not mean that 11 of PSUs for the survey also do so since EDs are sampled with probability proportionate to the number of addresses weighted by the MOl These EDs contain approximately 3 of the total number of households in the local authorities where clustered sampling is used To resolve the problem of these small EDs each ED with 60 or fewer households is paired with a neighbouring or adjoining ED to create a number of pseudo EDs which are in fact comprised of two or more real EDs This has no bearing on probabilities of selection since the pairing takes place before the PSUs are selected and thus the new pseudo ED has a probability of selection proportionate to its aggregated number of addresses weighted by the MOI EDs are merged until they cross the 61 household threshold 2 7 Stratification by local authority area Table 2 1
356. window now opens to display the Crosstab table see Figure 44 SHS Lite User Guide Version 1 0 Page 51 Figure 43 Cell Display dialog Crosstabs Cell Display Counts i Observed Expected Continue Cancel Help Percentages Residuals Unstandardized Standardized Adj standardized Column Percentages option Figure 44 How random adult usually travels to work education by Banded age of random adult i Output2 SPSS Viewer File Edit View Insert Format Analyze Graphs Utilities Window Help slman S E3 Ble b gt oo 22 How random adult usually travels to work education Banded age of random adult Crosstabulation Banded age of random adult Total How random Walking Count qe 3 451 593 91 2255 adult usually 96 within Banded S ae orando madd CE 6 13 4 C 13 0 13 6 15 696 35 7 15 3 workfeducation Driver carvan Count 1878 2356 2544 7626 within Banded age of random adult 22 1 55 7 59 9 58 3 49 9 50 0 51 7 Passenger car van Count 313 348 388 451 63 1 1574 within Banded age egies adult 12 6 10 3 9 9 10 6 10 8 7 1 10 7 Motorcycle moped Count 14 within Banded age ofrandom adult Bicycle Count within Banded age of random adult 2 1 tom School bus Count 98 108 within Banded age of random adult 3 9 0 0 1 3 0 T Works bus Count 23 32 41 47 12 D 155 within Banded age of random adult 1 0 1 1 2 1 0 1 1 Ordinary service bu
357. work about as much at home as elsewhere 3 work at home sometimes but mainly elsewhere 4 do not work at home work only elsewhere 5 Continue if RD1b is not coded 5 Otherwise go to FLEXCAR FLEXPC ON AVERAGE WHAT PERCENTAGE OF YOUR WORKING HOURS ARE SPENT AT HOME eed FLEXCAR YOU SAID YOU SOMETIMES WORK FROM HOME IS THERE A CAR AVAILABLE FOR YOU TO USE WHEN YOU ARE WORKING FROM HOME Yes 1 No 2 Continue if FLEXCAR coded 1 Otherwise go to RD3 FLEXBIZ IS THE CAR USED FOR BUSINESS WHEN YOU ARE WORKING FROM HOME Yes 1 No 2 Only ask RD2 if in full time education coded at HA7 RD2 WHICH SCHOOL COLLEGE UNIVERSITY DO YOU ATTEND pF Ask all employed self employed and in full time education coded 1 2 3 7 or 8 at HA7 unless RD1 1 Others go to Ask if before FREDRIV RD3 HOW DO YOU USUALLY TRAVEL TO WORK OR SCHOOL COLLEGE UNIVERSITY IF IN FULL TIME EDUCATION Probe for main method Walking 1 Driver car van 2 Passenger car van 3 Motorcycle moped 4 Bicycle 5 School bus 6 Works bus 7 Ordinary service bus 8 Taxi minicab 9 Rail 10 Underground 11 Ferry 12 Aeroplane 13 Horse riding 14 Other 15 If RD3 2 or 3 continue otherwise go to RD6 RD4 WHICH OF THE ITEMS ON THIS CARD BEST DESCRIBE THE CAR OR VAN YOU USUALLY TRAVEL TO WORK EDUCATION IN A car or van your household owns or has regular use of 1 A lift in someone else s car at no c
358. y ira E i miT AdE IT 2E misd Em E3 meaA dom HOY milad z i ja d a ws E n E 3 ina Ei JELEN crna m miga de i Tua wd mig graiil E mI TI LHN i 4 E Be 9 Be R aNE AENEA miga H 03 F iow tm Mmiaade rT d ii 07 T T mi P g i ba to TT mi T w w WU s Nc No tui Fa Question Question variable variable Original Variable name First dataset Analysis set Variable label Derived Who it relates to External introduced removed unigid 1999 2000 Survey administration Unique identifier Original Household February 1999 ateint 1999 2000 Date of interview Original Household February 1999 i c y i i year urvey administration ata year survey script used Derived ebruary 1999 a wt urvey administration ocal authority weight Derived rand_ok urvey administration omplete interview with random adult Derived ind_wt urvey administration ndividual weight Derived S S ebruary 1999 S S id_ok Survey administration Whether there is a valid random schoolchild Derived ebruary 1999 S S S S ebruary 1999 ebruary 1999 E amp 2 2 o 3 u Q 2 o o Q 2 a id wt urvey administration Random schoolchild weight Derived ebruary 1999 rankidwt urvey administration Random child weight month urvey administration Month of interview ear urvey administration Year of interview agerank Age of
359. y 1999 rdof ebruary 1999 rd9g ebruary 1999 rd9h ebruary 1999 rd9i ebruary 1999 rd9j ebruary 1999 rd9k ebruary 1999 rdol ebruary 1999 rd9m ebruary 1999 rd9n ebruary 1999 rd9o ebruary 1999 rd9p ebruary 1999 rd9q ebruary 1999 rdor ebruary 1999 rd9s ebruary 1999 rdot ebruary 1999 rd9u ebruary 1999 rd9w ebruary 1999 rd9y ebruary 1999 rd9z ebruary 1999 rd9ab ebruary 1999 rd9ad ebruary 1999 rel0c uly 1999 rel0a uly 1999 rel0b uly 1999 rel0d uly 1999 rele uly 1999 relof uly 1999 rel0g uly 1999 rel0h uly 1999 rel0i uly 1999 reloj uly 1999 relOk uly 1999 re10l uly 1999 rel0m uly 1999 re10n uly 1999 rel0o uly 1999 rel0p uly 1999 rel0q uly 1999 rel0r uly 1999 relot uly 1999 rel0u uly 1999 rel0b2 anuary 2002 rel0c2a anuary 2002 rel0c2b anuary 2002 rel0c2c anuary 2002 rel0c2d anuary 2002 rel0c2e anuary 2002 rel0c2f anuary 2002 rel0c2g anuary 2002 rel0c2h anuary 2002 rel0c2i anuary 2002 rel0c2j anuary 2002 relOc2k anuary 2002 re10d2 anuary 2002 rel0e2a anuary 2002 rel0e2b anuary 2002 rel0e2c anuary 2002 rel0e2d anuary 2002 rel0e2e anuary 2002 rel0e2f anuary 2002 rel0e2g anuary 2002 rel0e2h anuary 2002 rei0e2i anuary 2002 Original Question Question Variable name First dataset Analysis set Variable label Derived Who it relates to variable variable External introduced removed rel0e2j 1999 2000 Transports Agreement easy changing from trains to other forms of transport 1 Orignal
360. y Invalidity Benefit 1 Disabled Person s Tax Credit 2 Disability Living Allowance Care Component 3 Disability Living Allowance Mobility Component 4 Industrial Injury Disablement Benefit 5 Invalid Care Allowance 6 Severe Disablement benefit 7 19 Scottish Household Survey Questionnaire April 2003 to December 2004 Statutory Sick Pay 8 HH60 IS IT YOU YOUR PARTNER OR BOTH OF YOU War Disablement benefit 9 WHO RECEIVE THAT BENEFIT Disability premium with Income Support Housing Benefit 10 HH60A HH60L Attendance allowance 11 Another benefit for people with disabilities please specify 12 RESP PART BOTH None 13 Incapacity Benefit 1 2 3 If no benefits received go to HH67 Otherwise continue Sae pon Fd Kr ME n E E If HH58D 4 DISABILITY LIVING ALLOWANCE MOBILITY Disability Living Allowance Mobility 1 2 3 CONTINUE OTHERS GO TO HH58C Industrial Injury Disablement Benefit 1 2 3 Invalid Care Allowance 1 2 3 DISABILITY LIVING ALLOWANCE MOBILITY Statutory Sick Pay 1 2 3 COMPONENT War Disablement benefit 1 l2 3 Disability premium 1 2 3 qubd vang LU Attendance Allowance 1 2 3 iddle band 2 Oth 1 2 3 Lower band 3 zi 1 2 3 Don t know 4 Ask HH61 and HH62 for all benefits coded at HH57 If HH58C 3 DISABILITY LIVING ALLOWANCE CARE HH61 HOW MUCH DID YOU AND YOUR PARTNER CONTINUE OTHERS GO TO HH58D RECEIVE IN BENEFITS LAST TIME YOU HH58C IN WHICH BAND ARE YOU RE

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