SN 5760 - 5760 - Growing Up in Scotland - Sweep 1
Contents
1. for inclusion in the Growing Up in Scotland study by cohort Sample Dates of Birth required Number Birth Cohort Child Cohort 1 01 June 2004 30 Jun 2004 01 June 2002 30 Jun 2002 2 01 Jul 2004 31 Jul 2004 01 Jul 2002 31 Jul 2002 3 01 Aug 2004 31 Aug 2004 01 Aug 2002 31 Aug 2002 4 01 Sep 2004 30 Sep 2004 01 Sep 2002 30 Sep 2002 5 01 Oct 2004 31 Oct 2004 01 Oct 2002 31 Oct 2002 6 01 Nov 2004 30 Nov 2004 01 Nov 2002 30 Nov 2002 7 01 Dec 2004 31 Dec 2004 01 Dec 2002 31 Dec 2002 8 01 Jan 2005 31 Jan 2005 01 Jan 2003 31 Jan 2003 9 01 Feb 2005 28 Feb 2005 01 Feb 2003 28 Feb 2003 10 01 Mar 2005 31 Mar 2005 01 Mar 2003 31 Mar 2003 11 01 Apr 2005 30 Apr 2005 01 Apr 2003 30 Apr 2003 12 01 May 2005 31 May 2005 01 May 2003 31 May 2003 13 Development and Piloting A pilot of the computer assisted personal interview CAPI instrument including the self completion questionnaire and associated documents was conducted in February 2005 All pilot respondents were drawn from child benefit records The pilots tested the fieldwork procedure and interview content Some new questions underwent cognitive testing and some innovative measures were introduced 2 Data collection methods 2 1 Mode of data collection Interviews were carried out in participants homes by trained social survey interviewers using laptop computers otherwise known as CAPI Computer Assisted Personal Interviewing The inter2. misleading 5 2 Stage 2 Non response weights There was a limited amount of information available on the sampling frame with which to build a non response model The aim was to model the non response behaviour using logistic regression Once a model had been generated it was used to get predicted probabilities for each case These probabilities are the probability the parent will respond to the survey given their characteristics The non response weights wt NH are then generated as the inverse of these saved probabilities The modelling was run on data weighted by the selection weight A number of the variables used in the modelling were taken from the child benefit records these were age of claimant sex of claimant number of children in the household and method of benefit payment The other variables were at the area level these were Scottish index of multiple deprivation quintiles population density measured by the number of persons in private households per hectare and ONS urban rural indicator These variables were matched into the data by postcode The two cohorts were modelled separately The model suggests responders in the birth cohort were more likely to be older parents have fewer than 4 children in the household and live in rural and less deprived areas Responders in the child cohort were also more likely to be older parents live in rural and less deprived areas and to receive payment by account 2 Area level informa
3. months old Interviewers were allotted a four week period based on this date two weeks either side in which to secure the interview In difficult cases this period was extended up to and including the child s subsequent birthday which allowed a further two weeks 3 Response rates Details of the number of eligible cases identified by the DWP the number of cases issued and achieved and the response rates are detailed in Table 3 1 Table 3 14 Number of issued and achieved cases and response rates Birth Child All Sample All eligible children 8218 4712 12930 Cases removed 966 655 1621 Cases to field All 7252 4057 11309 Achievable or in scope 6583 3605 10143 Cases achieved 5217 2858 8075 Response rate As of all eligible children 63 61 62 As of all in scope 80 79 80 Cases which were considered out of scope or unachievable were mostly ineligible or incorrect addresses User Guide 4 4 Coding and editing Additional coding and editing tasks were performed after the interviews were conducted The GUS Sweep 1 Code Book and Edit Instructions provide details of the tasks that were conducted 41 Coding The coding of responses was mostly dealt with by the CAPI questionnaire through the use of fully closed questions There were however a number of questions e g MaTotb01 where a code frame was not used in order to capture all responses to a particular question verbatim The responses to
4. olds are living in single parent families in 2005 2 Cross sectional time series data e g is there any change in the proportion of 2 3 year olds living in single parent families between 2005 and 2007 3 Longitudinal cohort data e g what proportion of children who were living in single parent households aged 2 3 are living in different family circumstances at age 4 5 12 SampleDesign The area level sampling frame was created by aggregating Data Zones Data Zones are small geographical output areas created for the Scottish Executive Data Zones are used to release data from the Census 2001 are used by Scottish Neighbourhood Statistics to release small area statistics The Data Zone geography covers the whole of Scotland The geography is hierarchical with Data Zones nested within Local Authority boundaries Each data zone contains between 500 and 1 000 household residents More information can be found on the Scottish Neighbourhood Statistics website http Awww sns gov uk The Data Zones were aggregated to give an average of 57 births per area per year based on the average number of births in each Data Zone for the preceding 3 years It was estimated that this number per area would provide us with the required sample size Once the merging task was complete the list of aggregated areas was sorted by Local Authority and then by the Scottish Index of Multiple Deprivation Score 130 areas were then selected at random The Department
5. these open questions were coded into separate variables after the interview was conducted The coded responses to open questions are in the core dataset but as mentioned above the original text responses have been removed to reduce the potential to identify individuals Other questions in the CAPI questionnaire had code frames which included an other option e g MaCwya01 In these other specify questions interviewers could use this option if the respondent s answer did not fit any of the codes or if they were not confident of coding into the prescribed codes In these cases the interviewer recorded the full other answer at a follow up question e g other responses relating to MaCwya01 were recorded in MaCwya04 For all multi coded variables that were coded the original and coded answers have been merged into a single set of variables 4 2 Editing As with the coding most of the editing for the GUS Wave 1 questionnaire was carried out by the interviewers in the field However there were a couple of additional checks that related to inconsistencies in the data that were carried out after the interview User Guide 5 5 Weighting the data The final weights were generated in a number of stages The first stage generated selection weights to correct the differential selection probabilities for some children The second stage modelled non response bias and generated a non response weight This weight corrects for the
6. 12 9 2 1 0 002 1 43 3 0 3 0 13 5 7 1 0 017 1 36 4 or more baseline Constant 0 5 0 18 8 6 1 0 003 1 72 Notes 1 The response is 1 responded to sweep 1 of GUS 0 did not respond 2 Only variables that are significant at the 0 05 level are included in the model 3 The model R2 is 0 039 Cox and Snell 4 B is the estimate coefficient with standard error S E 5 The Wald test measures the impact of the categorical variable on the model with the appropriate number of degrees of freedom df If the test is significant sig 0 05 then the categorical variable is considered to be significantly associated with the response variable and therefore included in the model 6 The Wald test for each level of the categorical variable is also shown This tests the difference between that level and the baseline category User Guide 7 Table 5 2 Non response model for child cohort Variables in the Equation A Sig Age of claimant 69 7 5 0 000 20 or less 0 9 0 17 29 2 1 0 000 0 39 21 24 0 9 0 13 51 0 1 0 000 0 39 25 29 0 8 0 12 39 8 1 0 000 0 47 30 34 0 5 0 12 21 2 1 0 000 0 59 35 39 0 4 0 12 11 9 1 0 001 0 67 404 baseline Payment type 4 9 1 0 026 Account 0 4 0 16 4 9 1 0 026 1 43 Other baseline Area deprivation index 8 2 4 0 050 Least deprived 0 5393 7 7347 0 1 0 09 1 9 1 0 166 1 13 7 7354 18 5231 0 1 0 09 1 9 1 0 171 1 13 13 5303 21 0301 0 1 0 08 0 6 1 0 455 1 07 21 0421 33 5214 0 1 0 08 1 5 1 0
7. 220 0 90 33 5277 87 5665 most deprived baseline Population density 65 3 4 0 000 Least dense 0 0012 0 1729 0 9 0 15 38 4 1 0 000 2 47 0 1739 1 3274 0 7 0 10 39 7 1 0 000 1 92 1 3625 8 9643 0 3 0 08 19 2 1 0 000 1 42 9 0377 25 6086 0 2 0 07 6 4 1 0 012 1 20 25 8113 128 49 most dense baseline Number of children in the household 7 3 3 0 063 1 0 3 0 13 6 0 1 0 014 0 73 2 0 2 0 13 2 9 1 0 086 0 80 3 0 3 0 14 4 2 1 0 041 0 76 4 or more baseline Constant 1 1 0 23 22 9 1 0 000 3 07 Notes 1 The response is 1 responded to sweep 1 of GUS 0 did not respond 2 Only variables that are significant at the 0 05 level are included in the model 3 The model R2 is 0 038 Cox and Snell 4 Bis the estimate coefficient with standard error S E 5 The Wald test measures the impact of the categorical variable on the model with the appropriate number of degrees of freedom df If the test is significant sig lt 0 05 then the categorical variable is considered to be significantly associated with the response variable and therefore included in the model 6 The Wald test for each level of the categorical variable is also shown This tests the difference between that level and the baseline category User Guide 8 6 Using the data The GUS Sweep 1 data consists of two SPSS files GUSSWiBsay 5217 records GUSW1C sav 2859 records Child cohort 6 1 Variables on the files Each of the data files contain ques
8. Towns Settlements of between 3 000 and 10 000 people and with a drive time of over 30 minutes to a settlement of 10 000 or more 5 Accessible Rural Settlements of less than 3 000 people and within 30 minutes drive of a settlement of 10 000 or more 6 Remote Rural Settlements of less than 3 000 people and with a drive time of over 30 minutes to a settlement of 10 000 or more For further details on the classification see Scottish Executive 2004 Scottish Executive Urban Rural Classification 2003 2004 This document is available online at http Awww scotland gov uk Publications 2004 06 19498 38784 Scottish Index of Multiple Deprivation The Scottish Index of Multiple Deprivation SIMD 2006 identifies small area concentrations of multiple deprivation across Scotland It is based on 37 indicators in the seven individual domains of Current Income Employment Health Education Skills and Training Geographic Access to Services including public transport travel times for the first time Housing and a new Crime Domain SIMD 2006 is presented at data zone level enabling small pockets of deprivation to be identified The data zones which have a median population size of 769 are ranked from most deprived 1 to least deprived 6 505 on the overall SIMD and on each of the individual domains The result is a comprehensive picture of relative area deprivation across Scotland The classificatory variable contained in the GUS Sweep 1 datase
9. UK Data Archive Study Number 5760 Growing Up in Scotland Cohort 1 e Scottish Centre for BY Social Research Growing Up In Scotland Sweep 1 2005 User Guide 1 Overview of the survey Til Study DESIG aieo meni 1 2 Sample Design 1 3 Development and Piloting 2 Data colleccion methods o aco nti esee pecie eere a 3 2 rr eezuweel iope E 3 2 2 konto IBEerVIBW ssceie REF EEUU bU n EVER NTEB ERE RRORAU E POE RES E 4 255 Eee ce m 4 3 Response fates mM 4 4 Coding and editing rtt aree iuit api cn dapecheiansodtenceutenndansssstetaceeserees 5 Lue 5 do EO ei n dede ott Ut UMP Md M I EE 5 5 Weighting the dala ses os sce es RUE PED e I M 6 5 1 Stage 1 Selection weights for twins and multiple cohort households ssssssssseeneeneee 6 5 2 Stage 2 Non response weights 6 Using the dala cioe cita dasa cae toca cuota taco ida cc Con tado ed eius succ teo deas caede 9 6 1 Variables o the Tiles ront eterni irt rer n err rr od n eere eda da Ce E RR naa eeki drda raa 9 6 2 Indicators and summary Variables rore rini rtr tte re tener np pta sass ins era ke e bad ku s eei XR CERE E TRR ERE EAR Hala 9 National Statistics Socio economic Classification NS SEQC ssseeneeenne 9 Scottish Executive Urban Rural Classification eese 10 Scottish Index of Multiple Deprivation sese eeeeeeee enses tentent nnne nnne nnne nn
10. al and mental health component scales are indicative of better health related quality of life the indicator is based on informants self reports of their own physical and mental functioning and as such are subjective This may lead to differential reporting between informants with equivalent status 6 3 Dropped Variables All variables in the questionnaire documentation with not in dataset next to their name have been deleted from the archived dataset or have been recorded in multiple variables instead The following types of variables specified below have been deleted or replace with a derived variable coded into broader categories in order to reduce the potential to identify individuals 1 Those containing text 2 Those which contained a personal identifier e g name address 3 Those considered to be disclosive such as e Detailed ethnicity e Specific country of birth e Language spoken at home e Full interview date e Full date of birth e Timing variables There are no geographical variables in the archived dataset beyond area urban rural classification and Scottish index of multiple deprivation summary variable 6 4 Weighting variables The final wave 1 weights are called DaWTbrth birth cohort and DaWTchld Child cohort User Guide 11 6 Missing values conventions 1 Not applicable Used to signify that a particular variable did not apply to a given respondent usually because of internal routing 8 Don t kno
11. cotland dataset includes the five category system in which respondents and their partner where applicable are classified as managerial and professional intermediate small employers and own account workers lower supervisory and technical and semi routine and routine occupations Further information on NS SEC is available from the National Statistics website at http www statistics gov uk methods quality ns sec cat subcat class asp User Guide 9 Scottish Executive Urban Rural Classification The Scottish Executive Urban Rural Classification was first released in 2000 and is consistent with the Executive s core definition of rurality which defines settlements of 3 000 or less people to be rural It also classifies areas as remote based on drive times from settlements of 10 000 or more people The definitions of urban and rural areas underlying the classification are unchanged The classification has been designed to be simple and easy to understand and apply It distinguishes between urban rural and remote areas within Scotland and includes the following categories Table 6 1 Scottish Executive Urban Rural Classification Scottish Executive Urban Rural Classification 1 Large Urban Areas Settlements of over 125 000 people 2 Other Urban Areas Settlements of 10 000 to 125 000 people 3 Accessible Small Towns Settlements of between 3 000 and 10 000 people and within 30 minutes drive of a settlement of 10 000 or more 4 Remote Small
12. e of key domains and to document differences in those outcomes for children of different backgrounds To identify key predictors of adverse longer term outcomes with particular reference to the role of early years service provision To measure levels of awareness and use of key services To examine the nature and extent of informal sources of help advice and support for parents To generate parental assessments of the services accessed and used and to improve understandings of choice and constraint in service use Study Design The survey is based on two cohorts of children the first aged approximately 10 months at the time of first interview and the second aged approximately 34 months A named sample of approximately 10 700 children was selected from the Child Benefit records to give an achieved sample of 8 000 overall The planned configuration of cohorts and sweeps is summarised below BC1 refers to the younger of the two cohorts birth cohort and CC1 to the slightly older cohort child cohort At present the intention is to launch a new birth cohort BC2 in 2009 Age at interview Year 0 1 1 2 2 3 3 4 4 5 5 6 2005 BC1 TC1 2006 BC1 TC1 2007 BC1 TC1 2008 BC1 TC1 2009 BC2 BC1 2010 BC2 BC1 2011 BC2 User Guide A key aim of using two cohorts is to allow the study to provide three types of data 1 Cross sectional time specific data e g what proportion of 2 3 year
13. effects of non response The final stage adjusted the composite selection and non response weight to create a set of calibration weights These weights make the weighted sample match the population in terms of the variables used to calibrate in this case age sex and month of issue This corrects for the effects of the exclusions made by the DWP 5 1 Stage 1 Selection weights for twins and multiple cohort households There were 225 households where more than one child was eligible 154 pairs of twins and 71 cross cohort multiple births In households where the eligible children were in the same cohort each child had a 1 in n chance of being selected where n is the number of eligible children in the household In households where the children were in different cohorts older children had a smaller chance of being selected this was to reflect the smaller chance they had of being included in the sample overall Children in the child cohort had a selection probability of 3 8 for those in the birth cohort this was 5 8 The multi birth weight wt sel is the inverse of these selection probabilities There were no selection weights generated to correct for sampling fewer older children in relation to younger children This is because data from the birth cohort and that from the child cohort should always be analysed separately They can not be analysed together because together they do not represent a coherent or real population and any results would be
14. ne neas 10 Medical Outcomes Study 12 Item Short Form SF 12 sse 11 CS BroppediValtiaBIeS imina evira eset E ERE RE SEEN ER oa CE D RENE RH E URS AE d EN EXE REV XHAREG E RORXEEXU FAEERE XE An 11 p 4 Welghing Vallables estes carne sca rta reU A OAA 11 p 5 MISSING yallies GOVenlldlls ca ieenra dt Pu ku pub ii FS Pha cU XE ERA ORE FUEEEERKAR EHE RUNE EN KERN MA FER XAR EXAM ARENR ERUNT Add 12 T DOCUMONTALION mem 12 8 RelatedpubliCalloris ecoute ertet tote Co ec acees eet uitiis itu edid saltu a 12 9 Contact details scc ek Co i tod rk n re e bkn ck Eod dne ke Lore dad Yen Toce der v eb suia bee Eku us 12 1 Overview of the survey The data files contain data from Growing Up in Scotland GUS Sweep 1 the first year of a longitudinal research study aimed at tracking the lives of a cohort of Scottish children from the early years through childhood and beyond Funded by the Scottish Executive Education Department its principal aim is to provide information to support policy making but it is also intended to be a broader resource for secondary analysis The aims of the study are 11 To provide reliable cross sectional data on the characteristics circumstances and experiences of children in Scotland aged between 0 and 5 To document differences in the current characteristics circumstances and experiences of children from different backgrounds To generate information about longer term outcomes across a rang
15. of Work and Pensions then sampled children from these 130 sample points Within each sample point the Child Benefit records were used to identify all babies and three fifths of toddlers who met the date of birth criteria see Table 1 2 The sampling of children was carried out on a month by month basis in order to ensure that the sample was as complete and accurate as possible at time of interview In cases where there was more than one eligible child in the selected household one child was selected at random If the children were twins they had an equal chance of being selected If the eligible children were in different age cohorts the younger child had a higher chance of being selected given that those children had a higher chance of being included in the sample overall After selecting the eligible children the DWP made a number of exclusions before transferring the sample details These exclusions included cases they considered sensitive and children that had been sampled for research by the DWP in the last 3 years 1 Local Authority has been used as a stratification variable during sampling this means the distribution of the GUS sample by Local Authority will be representative of the distribution of Local Authorities in Scotland However the sample sizes are such that we would not recommend analysis by Local Authority The small sample sizes would give misleading results User Guide 2 Table 1 2 Eligible child dates of birth
16. tion has been used because there was not much data available from the sampling frame with which to generate non response weights At the second wave there will be more information available to model non response with The high response rate 62 means bias from non response at this stage is likely to be minimal User Guide 6 The final logistic regression non response models are shown in Tables 5 1 and 5 2 All the variables with the exception of number of children per household were included in the final model Table 5 1 Non response model for birth cohort Variables in the Equation E Sig Age of claimant 48 0 5 0 000 20 or less 0 7 0 16 19 0 1 0 000 0 51 21 24 0 5 0 14 9 6 1 0 002 0 64 25 29 0 4 0 14 10 4 1 0 001 0 64 30 34 0 2 0 14 1 4 1 0 244 0 85 35 39 0 1 0 14 0 5 1 0 485 0 91 40 baseline Area deprivation index 19 8 4 0 001 Least deprived 0 5393 7 7347 0 4 0 09 17 5 1 0 000 1 45 7 7354 13 5231 0 2 0 09 6 4 1 0 011 1 24 13 5303 21 0301 0 2 0 08 5 3 1 0 021 1 21 21 0421 33 5214 0 1 0 08 0 7 1 0 399 1 07 33 5277 87 5665 most deprived baseline Population density 41 0 4 0 000 Least dense 0 0012 0 1729 0 6 0 14 21 0 1 0 000 1 87 0 1739 1 3274 0 5 0 10 29 7 1 0 000 1 72 1 3625 8 9643 0 3 0 08 11 6 1 0 001 1 29 9 0377 25 6086 0 2 0 07 6 2 1 0 013 1 19 25 8113 128 49 most dense baseline Number of children in the household 9 7 3 0 021 1 0 3 0 12 5 4 1 0 020 1 31 2 0 4 0
17. tionnaire variables excluding variables used for administrative purposes and derived variables The variables included in the file are detailed in the List of Variables document in the data section of the documentation This document is the best place to look at in order to plan your analysis Once you have decided which variables to include in your analysis you can look up details of the question wording using the interview section documentation all variables on the data file are given by name in the copy of the interview schedules provided or use the Derived Variables Specification document in the data section of the documentation for derived variables 6 2 Indicators and summary variables National Statistics Socio economic Classification NS SEC The National Statistics Socio economic Classification NS SEC is a social classification system that attempts to classify groups on the basis of employment relations based on characteristics such as career prospects autonomy mode of payment and period of notice There are fourteen operational categories representing different groups of occupations for example higher and lower managerial higher and lower professional and a further three residual categories for full time students occupations that cannot be classified due to a lack of information or other reasons The operational categories may be collapsed to form a nine eight five or three category system The Growing Up in S
18. ts is based on the 2006 version of SIMD It should be noted that the analyses in the GUS Sweep 1 report are based on the 2004 version of SIMD as the 2006 version had not been published at the time the report was being written User Guide 10 In the dataset the data zones are grouped into quintiles Quintiles are percentiles which divide a distribution into fifths i e the 20th 40th 60th and 80th percentiles Those respondents whose postcode falls into the first quintile are said to live in one of the 2096 least deprived areas in Scotland Those whose postcode falls into the fifth quintile are said to live in one of the 2096 most deprived areas in Scotland Further details on SIMD can be found on the Scottish Government Website http Awww scotland gov uk T opics Statistics SIMD Overview Medical Outcomes Study 12 Item Short Form SF 12 In the GUS Sweep 1 report health related quality of life was measured by the Medical Outcomes Study 12 Item Short Form SF 12 This was also used in the Scottish Health Survey in 2003 and has previously been used in population surveys on many occasions for example the Health Survey for England and the National Survey of NHS Patients The SF 12 is a widely used self reported generic measure of health status yielding both a physical component PCS and a mental health component MCS summary scale score It is tailored for use in large health surveys of general populations Higher scores on both the physic
19. view was quantitative and consisted almost entirely of closed questions There was a brief self complete section in the interview in which the respondent using the laptop input their responses directly into the questionnaire programme At this wave primarily because of the inclusion of questions on the mother s pregnancy and birth of the sample child interviewers were instructed as far as possible to undertake the interview with the child s mother Where the child s mother was not available interviews were undertaken with the child s main carer User Guide 3 2 2 Length of Interview Overall the average interview lasted around 65 minutes The child cohort interview had a slightly longer average length at 66 minutes than the birth cohort interview at 64 minutes 2 Timing of fieldwork Fieldwork was undertaken over a fourteen month period commencing in April 2005 The sample was issued in twelve monthly waves at the beginning of each month and each month s sample was in field for a maximum period of two and a half months For example sample 2 was issued at the beginning of May 2005 and remained in field until mid July 2005 To ensure that respondents in both samples were interviewed when their children were approximately the same age each case was assigned a target interview date For the birth cohort this was identified as the date on which the child turned 10 5 months old and for the child cohort the date the child turned 34 5
20. w Can t say 9 No answer Refused These conventions have also been applied to most of the derived variables The derived variable specifications should be consulted for details 7 Documentation The documentation has been organised into the following sections e Survey materials contains the CAPI documentation questionnaires and showcards interviewer and coding instructions e Data documentation contains the list of variables list of derived variables and SPSS syntax for derived variables 8 Related publications Further information about GUS Sweep 1 is available in Anderson S Bradshaw P Cunningham Burley S Hayes F Jamieson L McGregor A Marryat L and Wasoff F Growing Up in Scotland Sweep 1 Overview Report The Scottish Executive 2007 Or on the GUS website http www growingupinscotland org uk 9 Contact details Contacts at the Scottish Centre for Social Research 73 Lothian Road Edinburgh EH3 9AW GUS Project Manager Paul Bradshaw 0131 228 2167 p bradshaw scotcen org uk GUS Data Manager Joan Corbett 0131 221 2560 j corbett scotcen org uk User Guide 12
Download Pdf Manuals
Related Search