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Microdata User Guide Household Internet Use Survey

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1. 10 05 NNNNNWWWHO PNEFRHDNWAOHK OOO N o PNUOATONMNOWTWONHWOWNIORANAINARRFPUONTTOWOFAOAK 15609 9 AARU AAN N Ow 6 9 ESTIMATED PERCENTAGE 15 0 66 47 38 33 29 27 5 25 23 22s 20 5 SCAWOONUAIDOWHOVUONWNFENHNOWAHNOWANATWOUWNPWAWWOKR HAW OO 16 0 1 20 05 64 45 Si Sag 29 26 24 22 21 N 5 NN AA 10990 NWDUNAIAIWDONUAWAOBRAINATWOWONUANUOWINAIWOIANAUAOUUNOHK
2. 10 05 NNN BS oowoo UOWEOWUOANARAR AN WACA ESTIMATED PERCENTAGE 15 0 39 28 22 WEP PPP PPP UUUUNHAIAIWADADADWDUWUUUWUWUOORPHFPNNWHEUDHAIWO NORPNWHEATORFPKPNOWINOPWUATORFRPFPHOWHOUONNDONADWMWOFH I 20 05 38 22 3 PRP PPP 3 1
3. kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 50 05 70 05 90 05 30 23 1 21 16 I7 E3 1 5 uta 13 10 12 ali 10 5 PRRFPRPNNNWWWWWWWWWP NNNSNN WW UNDWDONUAITORPNWREUNDWORPWUDEFAKHFPNWUNADONBFHNOFPKRPANAHAKFAURANAU 1600601965 1 6 1 5 1 10 0 1 0 0 Special Surveys Division HOUSEHOL
4. kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 50 0 70 0 90 05 51 39 2 36 28 16 29 22 25 11 22 10 20 3 2 6 6 9 9 4 1 T 2 5 8 2 7 2 8 4 1 8 5 2 9 7 5 3 4 7 1 6 2 9 6 4 a 9 7 6 4 3 6 2 6 2 0 7 6 4 3 FP RPNNNNNWWKEKBKP MWOORPWUANNORPNWHEATORPBPHNOWINOPWUATORPBRHOWHNDONOHNDGONAWAUW WFP A OCRPRPRFPRFRRFRRFNNNNNNNNNWWWWWWKPE PPPS 1 0 0 1 ARAR 1 1 6 AN 01 9 5 AN OPRA 5 kkkkkk Special Surveys Division HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for BRITISH COLUMBIA NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 1 86 5 86 1 85 7 84 4 8221 79 8 77 4 74 9 72 4 69 8 67 0 61 2 47 4 27 4 2 FA EES 60 9 60 6 59 6 SEE 56 4 54 7
5. ESTIMATED PERCENTAGE 15 0 82 58 47 41 36 33 31 29 26 24 23 22 5 22 21 20 20 PRPONADATIFNUATONUONAKFPAIWOORPUANHOKROFRONHNWOUWOWDORFPUNNATONAWY FPP UUANIWDDADAWDWOWOUWODOORPKFPNWWUAAHIITAADALW 20 05 80 56 46 40 95 32 30 28 26 25 24 23 22 21 20 20 NDOWNRFPAUNONBFPAIONNOWDWONHDUAOWIRPUORUORONTNPNRPRPWAIWNAIDWDONAHDO WWREPFPRUUNAITIDADADADWDUWOUUWUODOORPHPNWHEAAHAAITITI IANA 25 0 TERS 54 44 38 34 aC ha ky 29 27 25 24 23 22 21 20 20 UAORPUONWONTONFAOWNDOKROUNHFEFPUANUOWAWOKHRONTUPRBRUDPWHAHITAOUN WWWRPREFRPUNDAHAAIAITIDAADWWOUWUOORPHPNWHRUUAAHAAITIITADADW 30 05 NNNNNNNNWWW BU AI CORPNWHEAHAWDOWTITWNE WUTDOWTWPIUNTORPPHNDOWTRPANAHAITOCWHNOWAINANATWOANHAAIONWAUFLNWO DW WWWRPREFRPUNDHAAIATANWDAADDWUWOUWUOORPHPNWUUNUAARIIAOAMAW W 2 N E E E KK KK KK KK
6. 1098 10 05 40 9 28 9 23 6 20 5 8 3 6 7 5b 4 5 3 6 2 9 arid 18 1 4 0 9 0 6 2 9 9 9 6 9 4 ESTIMATED PERCENTAGE 15 0 39 28 23 SCPWUTORFPBHNOWNOUOHWRFONWAW OF DA 20 05 38 27 22 1 BRUNO UONWOONBHNOFPKPNOWITKFANOAHAVAAWWWW
7. 45 RR KR KR KR RK KR RR RR RRR KR KKK RK RRR KK RR KR KR RK KK KK RK RK RRR KK RR KR RRR KR KK KR RK KR RR KK RK KKK KR KKK KR RR KK RRR RRR KR KR KEK NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION Special Surveys Division 49 HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for NOVA SCOTIA NUMERATOR OF PERCENTAGE 000 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER MICRODATA DOCUMENTATION 50 0 1 oe kkk kkk kk kkk kkk kk kkk kkk kk 1 0 oe 46 6 33 0 26 9 EEEE EEEE EEEE EEEE KR KKK KKK KKK KKK EE EEEE E EEEE EEE EEEE EEEEEEE EEEE EEEE E 17 A ole PRPONAINADABRNNWAIPOKRW A
8. zog 3 0 2 3 1 3 200 RK KR KR RR RR RR RR KR RR RR KR KR RRR KK RK KR KR RK KR KK KR KR KKK KR RR KK RK KR RK KR RRR KR RR RK KR RRR KR RRR KR KR RRR KR RRR RK 25 6 2 0 1 2 250 1 8 1 0 300 0 9 350 0 9 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER MICRODATA DOCUMENTATION 54 Special Surveys Division HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for SASKATCHEWAN NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 3 39 8 39 6 39 0 38 0 36 9 35 8 34 7 335 5 327 3 314 0 2 8 2169 2 EAR RIERA 28 2 28 0 27 6 26 8 2651 25 33 24 5 23207 22 8 215 9 20 0 15 5 8 9 3 SEA REE 23 0 22 9 22 5
9. 1 7 1 5 1 2 Or 2000 RK RR KR KK RR RR RR RR KK RK KR KR RK KR RK RK KR KR KK KR RRR KR RR KK RRR KR KR KR KR KKK KR RK KR RRR KR KR RRR KR KR RK RRR RK TSO 0 6 3000 RK RR KR RK RR KR RR RRR KK RR KR RR KK RR KR RK KKK KR KK KR RRR KK RR RK KR KK KKK KR KK RR KK KR KR KR RR KR KR KR RRR KR RR KR RRR KR KR RK 0 5 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION Special Surveys Division 53 HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for MANITOBA NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 3 RICE AN S13 Sit 5053 49 0 47 6 46 2 44 7 43 2 41 6 40 0 36355 28 3 L653 2 3643 IEL 35 6 34 6 33 6 32 6 31 6 30 5 29 4 28 3 25 28 20 0 115 3 SEA REE 29 6 29 5 29 0 28 3 Arg 26 7 25 8 24 9 24 0 23 1 21 1 16 3 9 4 4 PAAR FA PO d 2 55 5 2 5 32 24 5 23 8 23 1 22 3 21 6 20 8 20 0 8 2 14 1 8 2 5 AAR IC RRR 22 8 22 45 21 9 21 3 20 6 20 0 Des 8 6 7 9 6 3 12 6 Tad 6 ROAR AR ICR SR CRE 20 9 20 5 20 0 9 4 8 8 8 2 7 6 7 0 Gud 4 9 Hie 5 6 7 7 EE 19 33 9 0 8 5 8 0 7 4 6 9 6 3 Bah Bal 3 8 10 7 6 2 8 SERENE AE EAE RICE EA 18 1 7 8 Tea 6 8 6 3 5 8 bad 4 7 4 1 2 9 10 0 5 8 9 6 8 6 3 5 9
10. 25 05 Shs 26 215 NOWDUANDWONFANADKHFWHAOKRDWHAUNKPFPWAITHA UUAAHAIITAIWADADWDADWOUWUWUDOOORPRPNWHU DAD 30 05 NNW ouA 5 3 3 1 35 05 BPPRPPPPEPEHPENNW COPRPNWAUNORSA WUNIONUOROPRWRHADONBIYDOWNOUDDAWENABKRHE DOD PPP 3 III IYM MAAHDWDWONWLMW 40 05 33 4 23 6 19 3 16 7 14 9 13 6 12 6
11. 3 5 3 0 2 4 1 4 100 RK KK RR RR KR RR KK RRR KR KR KR KR RR KR RR KR KR KR RK KK KR KK KR KR KR RR KK RK RRR KR RRR KR KR KR KR KERR KERR REE 3 2 3 0 2 3 1 3 125 RK KR KR RK RR RR KR RRR KK KR KR RRR KR KR KR RK RRR KR KR KK KR KK RK KR RR KR RR RK KR KR KK KR KR RK KR RRR KR KR RRR KK KR KR RRR RK D507 veal 150 KR KR KR RR RR RR RR RR RK KKK RK RK RRR KK RR RK KKK KR KK KR KKK KR RK KK RK KR RK KR KK KR KKK KR RRR KR KR RK KR RRR KR RRR KR RRR RK 1 9 TT 200 0 9 250 0 8 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION Special Surveys Division 51 HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for QUEBEC NUMERATOR OF PERCENTAGE 000 DAIHDUNAWNE NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION 52 0 1 1 0 2 0 5 0 89 4 89 0 88 5 87 2 63 2 62 9 62 6 61 6 KKK KK KEK 51 4 51 1 50 3 kkkkkkk 44 5 44 3 43 6 kkk kk kk 39 8 39 6 39 0 KR KKK K
12. 6 1 25 05 cay 26 Aky NOWITWDOONWUAWOWNOWAWDUAWOFPWAHAWOWHOWDNAKRNENAHAU A W PPUUUKUHDHDIAINOWDADADADDWUWOUWUWDODOORPHNWHEUDO 30 05 NNW oun NNWWWWWKRE PPE KPO HDHDAITIAIAINWDDADABDWDUWOWOUWUODOOFRPNNWHEAO 2 UUONAAITDWDUWOONWUATORPKBAIARPHANKBPUTDORPWUHTDTOWHDOKRUOBRONANATFOMWUSO w 35 05 BPPRPPRPPEHPENNW COPPNWAUNORSA SCNUMFPUAYDAWVLOHWUIONUOWOHPNANDBDONBIUDCWHONUCAWHENUBROUN NNNNWWWWWW PPP PP 1 00 0 0 Oww 40 05 PRRPPRPRPRRENW COPPNWADOWW PNNNWWWWWWWP PUK NDNADHDI III 0 0 0 60 1 1 Ts DOP PIT OWPRUNTOORPWUTOWNDPAIDWDORPWUTORPWHOWHRPUPAHDAOITWA
13. 20 05 69 49 40 35 Shy 28 26 24 PER 22 21 20 PRPNNWWWWKREKPRPUKDANTAITAITAIDDAWOUWUOUWUORPRPNAFKRP UUAHAITAAW 19 1 25 05 67 47 39 33 6 30 2s 25 235 22s 20 53 1 1 A 0 A 3 WW AAR OOW 30 05 NNNNNWWA N OMAP PORPWUDRFPAWOUTORPWHDORPRPDWOAWHORFPRPHOWHOKROPUURPUOTNN OPA 1 9 PRPNNNWWWWKERPUUNDDAHDAIIAIINWDADAWWOUWUORPRPWWWWKEKRUUUNAHIBMWAWWO 1 N 35 05 NNNNNWWA PNWUArRPA KW SCNFNOWDWDONKBNOUKPAWUAWOWUArFUUORONTUNOFPBORFPUUOWAWAUNDWOOWDINUKFHO PRRPRPNNNWWWWKRERUUNHDHADAAHAAIITAIAINWADWWOOORPNNWWWKEKPEKRUUANAHIBWMWOWO 40 0 NNNNWWA DH PNPFAIOUNSO N 5 SCRFPRPNONAITWOONUDAWOR
14. 1 0 0 1 PNWPUNDDWORPWUANAKFPNBFUTDONFENONUANANAUUAWAAUY PRPNNNNNNNNWWWWWWWWwWwWwP PP PUN HDA OW PRP UUNHAIWDAWAWOONWUADWAWOOFPKPNWRUNWORFPWUANAKFAUAA PReEPPPPHY APP RPUNAHAITIWDORPNWUTOWITIDVUOONWHEHATORPWHDRPUOPFRUOUONDHAWAAHATA 8 8 7 7 7 6 6 6 6 5 5 5 5 5 5 5 4 4 4 4 4 3 9 3 5 3 2 2 2 2 2 2 2 2 2 H Special Surveys Division HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for PRINCE EDWARD ISLAND NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 3 EAE EER ICE ER 24 5 24 1 2355 22 8 22 21 4 20 7 LOD 192 17 5 135 7 8 2 EAR RIESE ER He RR IK AR ES 17 0 16 6 16 1 15 6 151 14 6 14 1 1335 12 4 9 6 55 3 KKK KKK KKK KKK KKK KERR k k k k k k k k k k k k k k 13 5 13 2 12 8 12 4 11 9 11 5 11 1 10 1 7 8 4 5 4 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk Je 11 4 11 1 10 7 L023 10 0 9 6 8 7 6 8 3 9 5 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 10 5 10 2 9 9 9 6 9 3 8 9 8 6 7 8 Got 3 5 6 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 3 9 0 8 7 8 4 8 1 7 8 Tat 5 5 3 2 7 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 6 8 4 8 1 7 8 7 5 7 2 6 6 3 0 8 RK KR RK KR RK KR RK KR RRR KR KR KR RR KR RRR KR RRR KR RRR KR RRR RK RRR RK 7 8 7 6 T3 7 1 6 8 6 2 4 8 2 8 9 KR KR KR RR KR RK KR RRR KR RK KK KR KR RRR KR KR RRR KR KR RR KR KKK R
15. 4 4 4 0 3 1 1 38 20 4 3 3 9 3 0 21 RK RK KR RK RR RR RR KR RK KKK KR RRR KR KR RR KR RR RK KR KK KR KR RR RR KR KR KR RK KR KKK KR RK KR RR KR KR RK KR RRR KR RRR KK 3 8 3 0 1 7 22 3 7 2 9 1 7 23 3 6 2 8 1 6 24 3 6 2 8 1 6 25 3 5 O27 1 6 30 RK KR KR RR KR RR RR KR KR KKK RK RRR KR RRR KK RR RK KR RK KKK RK KR KK RR KK KR RK KR KR KK RR KR RRR KR KR RR KK RRR KR RRR RK KR RR KR KR RK 2 5 1 4 35 RR KR KR RR KR KR RR RRR KR KR KR KR RR KR KR RR KR KR KR RK KR KK RR KK RK KK RR KK KR RR KR RK KK RK KR KR KR RR KR RRR KR RRR KR KK RR KR RRR RK 2 3 1 3 40
16. EEEE E EEEE EEE EEEE EEEEEEE EEEE EEEE E EEEE EEEE EEEE EEEE 1098 N 31090019 oe UWOTONFPAIOWNOROUNFRFPUDFPUOWDANAWOTNUNWWUHORWAKHII ul WWWRPRPERPUNHDAHAAIATWDADAADWWOUWOUWUOORPNNWUUNUAHARIITAADYW 1 oO ole PFHNORPPAORNANHWDOWUADAFUADAWAROWUONHAUONNOUNOUNOTNFRPOOFRPKBRWUODARFRRPROUWN 10 05 74 52 42 STs 33 30 28 26 24 233 22 21 20 WIWUATOWINENEFPNHNDWDOWNHNONNOURPATUUNARPUANNONOUKFPFAHFKFUTNOWNPFAOBN NNWWWREKPKPUDAATIATITIDABDDWDWOUWOOORFPHPNWHREUUUAHAIATNAADWLW ESTIMATED PERCENTAGE 15 0 gL 41 36 VAR 29 PATS 25 24 22 21 20 20 ae WANPFHNONAHARFPUORNEFHNDWDRFPWHAUOWAINATPNNPAIOCKRYIRPUOUOHWOWMDIWOUNFNOKHOH NNWWWWKEKPUUHNHAITIAIDDDAWDAWOWOOORPNWHEEUUUAAHAITAOALW ie
17. where X is estimate 1 X is estimate 2 and a and a are the coefficients of variation of X and X respectively The coefficient of variation of d is given by This formula is accurate for the difference between separate and uncorrelated characteristics but is only approximate otherwise Rule 4 Estimates of Ratios In the case where the numerator is a subset of the denominator the ratio should be converted to a percentage and Rule 2 applied This would apply for example to the case where the denominator is the number of households which have never used computer communications and the numerator is the number of households which have never used computer communications and have a computer at home In the case where the numerator is not a subset of the denominator as for example the ratio of the number of households in Quebec which use a computer at home for electronic banking in a typical month as compared to the number of households in Ontario which use a computer at home for electronic banking in a typical month the standard deviation of the ratio of the estimates is approximately equal to the square root of the sum of squares of each coefficient of variation considered separately multiplied by R That is the standard error of a ratio R X X is where a and a are the coefficients of variation of X and X respectively The coefficient of variation of R is given by Op R The formula will tend to o
18. E E E E E E E E e e k e k e k k k k e k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k 25 05 62 44 36 28 25 23 6 22 N 1 1 3 1609090 1 4 0 30 05 NMNNMNNNWW 05 N o UDWORRPNEFHNHDWDONUANNOHWHEEFFEAHAONAHAOWINANANWNNFUDArRPWOW A WWRUUNDNHDAADAAHRAIATIAIAWDWWOUWUORPNNNNWWWKEHEUUAHAIBOO 35 05 UI NWOAWWH PIP ONWAONWUATONUOWAINODTONUDRFPRPANAKFPANUOAUUTRPORPNAIWU N ww 1 0 3 H E E E KK KK KK KK KR KK KK RK RK KK RK KK KK KR k k KK RK k k k k RK k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k 40 0 NNN N WUWU PNUOANW DO MONNONHDOHWOKFPWUATONHNOFPUOUWNUATOWNONNOUONANUOWTONUWOFPPRPBAN NWWWPEPUUNUNUNNHADAAHAAITAITAIAINWDWDWOORPRFPENNNNWWHEKBUUANAAVAT OW
19. 0 8 18 3 4 3 Low Income Regular Regular High Income Low Population High Population Low Population Apartments Apartments Area Frame Area Frame Density Density Density stratum stratum stratum stratum stratum stratum stratum stratum I I I l I I I I l l l l l l I building building cluster amp EA cluster amp EA town EA EA group Place EA I I I I I I I I l l l l l l l I dwelling dwelling dwelling dwelling cluster dwelling dwelling dwelling 1 dwelling level of stratification EIR Employment Insurance Region EA Census Enumeration Area ER Economic Region cluster set of block faces percentage of total sample stage of sampling 5 3 M Sample Size The sample size of eligible persons in the LFS is determined so as to meet the statistical precision requirements for various labour force characteristics at the provincial and sub provincial level and to meet the requirements of federal provincial and municipal governments as well as a host of other data users The monthly LFS sample consists of approximately 59 000 dwellings After excluding dwellings found to be vacant dwellings demolished or converted to non residential uses dwellings containing only ineligible persons dwellings under construction and seasonal dwellings about 52 350 dwellings remain which are occupied by one or more eligible persons From these dwellings LFS information is obtained for approximate
20. 21 3 20 7 20 0 LOLS 18 6 17 9 16 5 12 7 7 3 4 CAREER AAAS EEE 19 8 9 5 9 0 8 4 17 9 DSS 16 7 16 1 15 5 14 1 11 0 6 3 5 RAR RAK IRS RRR Lh 7 4 7 0 paS 16 0 LES 15 0 14 4 18 9 9 68 6 ROKR AR ICR SR CR 16 2 ores 535 jose A 14 6 14 1 HE rea d 13 2 Hy 4 11 6 8 9 B52 7 RAKE E MEEK ERICK FA 15 0 4 7 4 3 39 13 5 i AE A 12 7 12 2 11 7 10 7 8 3 4 8 8 RELA ERE EE 3 8 3 4 3 0 L287 12 3 11 8 11 4 11 0 10 0 Let 4 5 9 RAE ERE EERE 3 0 2 7 Bra a a Ea l 11 6 10 8 10 3 9 4 4 2 10 REEL RR EERE RE EEE 2333 2 0 Ties 11 0 10 6 10 2 9 8 8 9 6 9 4 0 11 1 8 1 4 1 1 10 8 10 4 10 1 935 3 8 5 6 6 3 8 12 RELA EER LEER RR EAR 1 3 1 0 0 6 10 3 10 0 9 7 9 3 8 9 8 2 6 3 Bhd 13 REAR ACE AR ACR SR RRR HR Re RE 0 8 0 5 0 2 9529 9 6 9 8 8 9 8 6 7 8 14 0 4 0 1 Ued 9 6 9 8 9 8 6 8 3 7 6 59 3 4 15 EAE RARE RES EEE EERE EEE 0 1 9 8 9 5 9 2 8 9 8 6 8 3 8 0 arc SeT 3 3 16 RA RICE ERIE LAK RRA RRS 9 7 9 5 9 2 8 9 8 7 8 4 8 1 7 7 TeL D 3 2 LY ERA RIE SA REA CRRA ERR 935 Fa 8 9 8 7 8 4 811 7 8 5 6 9 BS Sai 18 RA RAEES ME EA ARRAS ER ES 932 8 9 8 7 8 4 8 2 59 7 6 Tes 6 7 we 3 0 19 SEALE RAE ES AKA R AL RR TS 8 9 8 7 8 5 8 2 7 9 Weak 7 4 Be 6 5 50 2 9 20 8 5 8 2 8 0 T 7 5 Pa 6 9 6 3 4 9 2 8 21 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 3 8 0 7 8 7 6 8 0 6 8 6 2 4 8 2 8 23 kkkkkkkkkkkkkkkkkkk
21. 0 7 0 543 Special Surveys Division 27 9 0 Guidelines for Tabulation Analysis and Release E This section of the documentation outlines the guidelines to be adhered to by users tabulating analysing publishing or otherwise releasing any data derived from the survey microdata file With the aid of these guidelines users of microdata should be able to produce the same figures as those produced by Statistics Canada and at the same time will be able to develop currently unpublished figures in a manner consistent with these established guidelines eC Rounding Guidelines In order that estimates for publication or other release derived from this microdata file correspond to those produced by Statistics Canada users are urged to adhere to the following guidelines regarding the rounding of such estimates a Estimates in the main body of a statistical table are to be rounded to the nearest hundred units using the normal rounding technique In normal rounding if the first or only digit to be dropped is 0 to 4 the last digit to be retained is not changed If the first or only digit to be dropped is 5 to 9 the last digit to be retained is raised by one For example in normal rounding to the nearest 100 if the last two digits are between 00 and 49 they are changed to 00 and the preceding digit the hundreds digit is left unchanged If the last digits are between 50 and 99 they are changed to 00 and the preceding digit is increme
22. 1 553 768 7 328 797 0 0 11 268 11 487 972 93 Variable Q03B Position 30 In a typical month do any members of your household use computer communications at work Coverage Those with positive responses in Q01B 01 Yes 02 No 96 Valid skip 97 Don t know 98 Refused 99 Not stated Variable Q03C Position 32 FREQ 7 936 4 825 25 222 38 030 WTD 2 671 751 1 471 272 7 328 797 4 885 11 487 973 In a typical month do any members of your household use computer communications at school college or university where they are studying 01 Yes 02 No 96 Valid skip 97 Don t know 98 Refused 99 Not stated Coverage Those with positive responses in Q01B FREQ 4 664 8 070 25 222 38 030 WTD 1 385 121 2 748 844 7 328 797 13 943 11 487 973 94 Special Surveys Division Variable Q03D Position 34 Length 2 In a typical month do any members of your household use computer communications at a public library FREQ WTD 01 Yes 1 471 497 991 02 No 11 293 3 645 395 96 Valid skip 25 222 7 328 797 97 Don t know 9 4 010 98 Refused 0 0 99 Not stated 35 11 780 38 030 11 487 972 Coverage Those with positive responses in Variable Q03E Position 36 Length 2 In a typical month do any members of your household use computer communications at a location that we have not yet mentioned FREQ WTD 01 Yes 1 006 301 413 02 No 11 762 3 843 720 96 Valid skip 25 222 7 328 797 97 D
23. PRPRPNNWWHRUDT0 le 10 05 Oe ws N 51 0 1 UW ESTIMATED PERCENTAGE 15 0 43 30 24 21 6 NANHAIANWWDAWOUWUWUOWUWODDOOFRPHFPNNWWHRUDAIO 1 KK KK KK KK KK KK KK KK RRR KKK KK KEKE k k k k k k k k k k k k k k k k k k k k KK KK KK KK KK KK e e k KR e k k k k k k k k k k k k
24. who reported the information at the household level 5 6 a eee Sample size by Province for the Supplement The following table shows the number of household in the LFS sampled rotations who were eligible for the HIUS supplement PROVINCE SAMPLE SIZE Newfoundland and 1 623 Labrador Prince Edward Island 1 180 2877 2 525 8 520 12 976 3 230 Saskatchewan 3 349 Alberta 3 362 British Columbia 4 050 CANADA 43 692 Special Surveys Division 15 6 0 Data Collection a we Data collection for the LFS is carried out each month using the computer assisted method during the week following the LFS reference week usually the third week of the month 6 1 M Interviewing for the LFS Statistics Canada interviewers who are part time employees hired and trained specifically to carry out the LFS contact each of the sampled dwellings to obtain the required labour force information Each interviewer contacts approximately 70 dwellings per month Dwellings new to the sample are contacted through a personal visit The interviewer first obtains socio demographic information for each household member and then obtains labour force information for all eligible members All interviews are conducted using a notebook computer Provided there is a telephone in the dwelling and permission has been granted subsequent interviews are conducted by telephone As a result approximately 85 of all dwellings are interviewed by telephone
25. 01 gt Proceed with interview lt 02 gt Interview refused go to Q19 Q01A Has anyone in the household ever used computer communications like electronic banking E mail Internet from home work school or any other location lt 01 gt Yes lt 02 gt IYO EES EE ET EAE E E go to Q12 lt 97 gt go to Q12 lt 98 gt Ref sed ii Sind Sense Bese wowed go to Q12 Universe Respondents who answered proceed with interview in the above question E g 101C 01 Special Surveys Division 63 Q01B In a typical month does anyone in the household use computer communications Yes lt 02 gt NO lt p piace SOS go to Q12 lt 97 gt geni Hoe ead Gos ee go to Q12 lt 98 gt Refused go to Q12 Note This question is intended to exclude those households in which someone may have used computer communications a few times for example at a friends house but who can not really be described as users in the normal sense of the word It is also designed to include those who may not have used them recently e g last month perhaps because they were unemployed or on vacation from school or work but who do so under normal circumstances It is also intended to include people who have only recently started to use them so the last month may not be typical of previous months but likely will be typical of future months Univ
26. 11 487 972 Coverage Those answering yes to Q12 Variable Q13AP03 Position 110 Length 1 What are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY you do use them at work FREQ WTD 1 Yes 733 268 463 2 No 5 743 1 797 936 6 Valid skip 31 545 9 418 727 7 Don t know 9 2 846 8 Refused 0 0 9 Not stated 0 0 38 030 11 487 972 Coverage Those answering yes to Q12 Special Surveys Division 121 Variable Q13AP04 Position 111 Length 1 What are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY you do use them at another location FREQ WTD 1 Yes 380 114 918 2 No 6 096 1 951 482 6 Valid skip 31 545 9 418 727 7 Don t know 9 2 846 8 Refused 0 0 9 Not stated 0 0 38 030 11 487 972 Coverage Those answering yes to Q12 Variable Q13AP05 Position 112 Length 1 What are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY it does not offer enough useful services FREQ WTD 1 Yes 549 187 557 2 No 5 927 1 878 842 6 Valid skip 31 545 9 418 727 7 Don t know 9 2 846 8 Refused 0 0 9 Not stated 0 0 38 030 11 487 972 Coverage Those answering yes to Q12 122 Special Surveys Division Variable Q13AP06 Position 1
27. 25 but less than 50 88 31 113 04 At least 50 but less than 75 30 12 098 05 At least 75 but less than 90 13 4 233 06 At least 90 but less than 100 9 3 553 07 100 116 41 255 96 Valid skip 36 150 10 830 558 97 Don t know 5 1 582 98 Refused 1 473 99 Not stated 58 23 275 38 030 11 487 972 Coverage Those answering 01 to Q08 or 01 to QO9B Special Surveys Division 109 Variable Q10C Position 82 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household use to purchase goods and services on the world wide web INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENTNEEDS PROMPTING FREQ WTD 01 Less than 10 733 259 980 02 At least 10 but less than 25 59 18 481 03 At least 25 but less than 50 9 3 148 04 At least 50 but less than 75 3 413 05 At least 75 but less than 90 2 1 129 06 At least 90 but less than 100 0 0 07 100 0 0 96 Valid skip 37 180 11 190 408 97 Don t know 2 371 98 Refused 0 0 99 Not stated 42 14 044 38 030 11 487 974 Coverage Those answering 01 to Q09C 110 Special Surveys Division Variable Q10D Position 84 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household use to search for medical or health related information on the internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUI
28. 487 971 Coverage All respondents Note This is a variable merged from the LFS head of the HHLD file Matched with the respondent through realukey and line number Variable HAGE Position 16 Length 1 What is the age of Head of Household in ranges FREQ WTD 1 lt 35 years 8 060 2 517 013 2 35 54 years 16 584 5 083 711 3 55 64 years 5 248 1 553 526 4 65 years 8 138 2 333 723 6 Valid skip 0 0 9 Not stated 0 0 38 030 11 487 973 Coverage All respondents Note Derived variable The age of the Head of the HHLD is collapsed here It is derived from the HAGE which was merged from the LFS head of the HHLD file Special Surveys Division 89 Variable HSEX Position 17 Length 1 Sex of Head of Household FREQ WTD 1 Male 28 816 8 604 335 2 Female 9 214 2 883 638 6 Valid skip 0 0 9 Not stated 0 0 38 030 11 487 973 Coverage All respondents Note This is a variable merged from the LFS Head of the HHLD file Matched with the respondent through realukey and line number Variable HMARSTAT Position 18 Length 1 What is the marital status of the Head of Household FREQ WTD 1 Married 23 913 7 046 267 2 Single never married 5 862 1 948 214 3 Widow or widower 3 916 1 107 907 4 Seperated or divorced 4 339 1 385 585 9 Not stated 0 0 38 030 11 487 973 Coverage All respondents Note This is a variable merged from the LFS head of the HHLD file Matched with the respondent through realukey and line number 90 Special Surveys
29. 5 2 4 M Cluster Delineation and Selection Households in final strata are not selected directly Instead each stratum is divided into clusters and then a sample of clusters is selected within the stratum Dwellings are then sampled from selected clusters Different methods are used to define the clusters depending on the type of stratum Within each urban stratum in the urban area frame a number of geographically contiguous groups of dwellings or clusters are formed based upon 1991 Census counts These clusters are generally a set of one or more city blocks or block faces The selection of a sample of clusters always 6 or a multiple of 6 clusters from each of these secondary strata represents the first stage of sampling in most urban areas In some other urban areas Census Enumeration Areas EAs are used as clusters In the low density urban strata a three stage design is followed Under this design two towns within a stratum are sampled and then six or 24 clusters within each town are sampled For urban apartment strata instead of defining clusters the apartment building is the primary sampling unit Apartment buildings are sampled from the list frame with probability proportional to the number of units in each building Within each of the secondary strata in rural areas where necessary further stratification is carried out in order to reflect the differences among a number of socio economic characteristics within each stratum
30. 575 Not stated 36 38 030 all respondents Position 134 Length 1 WTD 192 767 11 023 586 0 91 232 11 487 973 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Alimony OMONDN Coverage 132 FREQ Yes 102 No 37 049 Valid skip 0 Don t know 268 Refused 575 Not stated 36 38 030 all respondents WTD 30 322 11 186 031 0 91 232 167 230 13 158 11 487 973 Special Surveys Division Variable Q15P13 Position 135 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Other income e g rental scholarships other govt income etc OONDN Coverage Variable Q15P14 FREQ Yes 1 914 No 35 237 Valid skip 0 Don t know 268 Refused 575 Not stated 36 38 030 all respondents Position 136 Length 1 WTD 557 364 10 658 989 0 91 232 11 487 973 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY None OMONDN Coverage Special Surveys Division FREQ Yes 10 No 37 141 Valid skip 0 Don t know 268 Refused 575 Not stated 36 38 030 all respondents WTD 2 405 11 213 948 0 91 2
31. 6 3 5 8 4 5 2 6 45 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk TEL 6 9 6 7 6 4 6 2 6 0 5 4 4 2 2 4 50 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 6 7 6 5 6 3 6 1 5 9 Bee 5 2 4 0 2 3 55 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 6 4 6 2 6 0 5 8 5 6 5 4 4 9 3 8 262 60 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 6 1 6 0 5 8 5 6 5 4 5 2 4 7 3 6 Qed 65 RK KR KR KR RR RR RK KR RRR KK KKK KR RRR KK RR RK KER KR KR RR KK KR K 5 7 5 5 5 4 5 2 5 0 4 5 3 5 2 70 KR KR RR KR RK RR RR KR RRR KR KR RRR KR RRR KR RRR KR RRR KK RRR KK KR RK 5 5 5 3 5 2 5 0 4 8 4 4 3 4 20 75 KR KR RK KR RR KR RK KR RRR KK KR KR RRR KR RRR KR RRR KR KKK RK RRR EK 5 3 5 2 5 0 4 8 4 6 4 2 3 3 49 80 5 2 5 0 4 8 4 7 4 5 Ait 3 2 1 8 85 KR KR RR KR RR RR RR RR RRR KR KR RK KR KKK RRR KR RR KR RRR KR RK KK RR KR RRR RK 4 8 4 5 4 3 4 0 Fot 1 8 90 RK KR RR RR RR RR RR RRR KR KR RK KR KR KR KR RR KR ERK KR RK KR RRR KK KER KR RRR RK 4 7 4 6 4 4 4 2 3 8 3 0 95 4 6 4 4 4 3 4 1 3 7 2 9 100 KR KR KK RR KR RR RR RR RK RRR KR RRR KR RRR KR RRR KR RRR KR RRR KR RRR RK KR RK RRR RK 4 5 453 4 2 4 0 3 6 2 8 1 6 125 3 9 3 6 3 3 2 5 1 5 150
32. 866 97 Don t know 10 98 Refused 0 99 Not stated 38 38 030 Coverage Those answering yes to Q07 Variable 09 Position 68 Length 2 WTD 2 024 875 330 012 9 115 512 4 338 11 487 973 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to play games on the Internet FREQ 01 Yes 2 743 02 4 370 96 Valid skip 30 866 97 Don t know 12 98 Refused 0 99 Not stated 39 38 030 Coverage Those answering yes to Q07 104 WTD 890 685 1 464 789 9 115 512 3 646 11 487 972 Special Surveys Division Variable Q09J Position 70 Length 2 IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to participate in chat groups on the Internet FREQ 01 Yes 2 111 02 No 4 997 96 Valid skip 30 866 97 Don t know 16 98 Refused 0 99 Not stated 40 38 030 Coverage Those answering yes to Q07 Variable Q09K Position 72 Length 2 WTD 657 854 1 693 485 9 115 512 6 949 11 487 973 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to access any other Internet services that have not yet been mentioned FREQ 01 Yes 942 02 No 6 171 96 Valid skip 30 866 97 Don t know 11 98 Refused 0 99 Not stated 40 38 030 Coverage Those answering yes to Q07 Special Surveys Division WTD 302 000 2 052 568 9 115 512 3 720 11 487 973 105 Variable QO9LP01 Position 74 Length 1 For what specific educational purposes do mem
33. Division Variable HEDUCL Position 19 Length 1 What is the education level of the Head of Household FREQ WTD 1 Less than High school 11 966 3 162 638 2 High school or college no university degree 20 725 6 354 565 3 University degree 5 339 1 970 770 6 Valid skip 0 0 9 Not stated 0 0 38 030 11 487 973 Note Derived variable The education of the Head of the HHLD is collapsed here It is derived from the HEDUCLEV which was merged from the LFS head of the HHLD file Variable Q01A Position 20 Length 2 Has anyone in the household ever used computer communications like electronic banking E mail Internet from home work school or any other location FREQ WTD 01 Yes 16 449 5 244 480 02 No 21 553 6 233 171 96 Valid skip 0 0 97 Don t know 28 10 323 98 Refused 0 0 99 Not stated 0 0 38 030 11 487 973 Coverage All respondents Special Surveys Division 91 Variable Q01B Position 22 Length 2 In a typical month does anyone in the household use computer communications FREQ WTD 01 Yes 12 864 4 177 069 02 No 3 579 1 066 466 96 Valid skip 21 553 6 233 171 97 Don t know 5 770 98 Refused 1 176 99 Not stated 28 10 323 38 030 11 487 974 Coverage All answering yes to Q01A Note This question is intended to exclude those households in which someone may have used computer communications a few times for example at a friends house but who can not really be described as users in the normal sense of the word
34. Guidelines for Tabulation The sample design used for the HIUS was not self weighting When producing simple estimates including the production of ordinary statistical tables users must apply the proper sampling weight If proper weights are not used the estimates derived from the microdata file cannot be considered to be representative of the survey population and will not correspond to those produced by Statistics Canada Users should also note that some software packages may not allow the generation of estimates that exactly match those available from Statistics Canada because of their treatment of the weight field 9 2 1 Definitions of types of estimates Categorical vs Quantitative Before discussing how the HIUS data can be tabulated and analysed it is useful to describe the two main types of point estimates of population characteristics which can be generated from the microdata file for the HIUS 30 Special Surveys Division Categorical Estimates Categorical estimates are estimates of the number or percentage of the surveyed population possessing certain characteristics or falling into some defined category The number of households which have never used computer communications or the proportion of households for wh
35. In these subsequent monthly interviews as they are called the interviewer confirms the socio demographic information collected in the first month and collects the labour force information for the current month In all dwellings information about all household members is obtained from a knowledgeable household member usually the person at home when the interviewer calls Such proxy reporting which accounts for approximately 55 of the information collected is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent At the conclusion of the LFS monthly interviews interviewers introduce the supplementary survey if any to be administered to some or all household members that month If during the course of the six months that a dwelling normally remains in the sample an entire household moves out and is replaced by a new household information is obtained about the new household for the remainder of the six month period Special Surveys Division 17 6 2 M Supervision and Control All LFS interviewers are under the supervision of a staff of senior interviewers who are responsible for ensuring that interviewers are familiar with the concepts and procedures of the LFS and its many supplementary surveys and also for periodically monitoring their interviewers and reviewing their completed documents The senior interviewers
36. KK KR KK KR KR KK KK KK k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k 35 05 NNNNNNNNWWAUY CORPNKBUNONAKREHEN WANABHONHKFOUNAHDAHPWHAWOWINDABNNAIYORYPUCUODNDWODIMOUWHRWERNOKB NNWWWWKEKPBUUHNHAATITIAIDWDDWDWDAWDWOWOOORPNWKREEUUUAAHAIITIAOALW 40 0 NNNNNNNWWABO 0 NUPWUNOR AA 00 50 05 70 05 90 05 PNWUArRA KW N SCWAONKFYNTOUNAWUATORFPWHOANUUOKBROYTNUNONUDARFPUUOWAWOUWRFORPKRWODWAUAN NNNWWWWKRKPRUUNHDADAAHAIAIIAIWDADADWOOOHRPNNWWWKHEKEKBUUANAHITO 1 49 28 34 20 28 16 24 14 21 12 20 11 8 10 10 PWUONWEHADARFPUORWOONWUHTORFPWHOWITWODWMDONKFIONUONAKFAFAUNWWUOUWOUNWHO NAIOTCWWEPUNDWOWUADAUWOORPNWKREUATDWDONUANAITDWDWOONWUATORPWHANUUORFRONTU HARP WOW PRRPRPNNNNNWWKEKEKPUUUNNU
37. READ CATEGORIES TO RESPONDENT FREQ WTD 01 Substantially 950 327 886 02 Noticeably 1 581 537 016 03 Little or nothing 5 181 1 702 153 96 Valid skip 30 221 8 882 565 97 Don t know 23 11 532 98 Refused 3 1 481 99 Not stated 71 25 340 38 030 11 487 973 Coverage Those answering yes to Q03A Special Surveys Division 119 Variable Q12 Position 106 Length 2 Do you have a computer at home FREQ WTD 01 Yes 6 485 2 069 246 02 No 23 770 6 824 587 96 Valid skip 7 775 2 594 140 97 Don t know 0 0 98 Refused 0 0 99 Not stated 0 0 38 030 11 487 97 2 Coverage Those not answering yes to Q01A or or Q03A Variable Q13AP01 Position 108 Length 1 What are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY it costs too much FREQ WTD 1 Yes 2 261 715 122 2 No 4 215 1 351 278 6 Valid skip 31 545 9 418 727 7 Don t know 9 2 846 8 Refused 0 0 9 Not stated 0 0 38 030 11 487 973 Coverage Those answering yes to Q12 120 Special Surveys Division Variable Q13AP02 Position 109 Length 1 What are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY it is too complex FREQ WTD 1 Yes 702 206 828 2 No 5 774 1 859 572 6 Valid skip 31 545 9 418 727 7 Don t know 9 2 846 8 Refused 0 0 9 Not stated 0 0 38 030
38. an estimate was not given income was coded as missing Overall 69 of the households reported income as numerical 20 as an HIUS category and 1 as a CTS category Thus for 10 of the households income was coded as missing In order to produce income quartiles categorical and missing values of income were converted to numerical values The conversion involved a three step imputation process in which i income for a given household reporting a categorical HIUS value was substituted by the income of a household which reported a numerical HIUS value and shared the most similar characteristics e g hourly earnings geographic region provided the numerical value was consistent with the HIUS category ii income for a given household reporting a categorical CTS value was substituted by the income of a household which reported a numerical HIUS value or whose income had been converted to a numerical value via step i and shared the most similar characteristics provided the numerical value was consistent with the CTS category and iii missing income for a given household was substituted by the income of a household which reported a numerical HIUS value or whose income had been converted to a numerical value via steps i or ii and shared the most similar characteristics 8 25 M Non response Over a large number of observations randomly occurring errors will have little effect on estimates derived from the survey However errors o
39. are not related to sampling may occur at almost every phase of a survey operation Interviewers may misunderstand instructions respondents may make errors in answering questions the answers may be incorrectly entered on the questionnaire and errors may be introduced in the processing and tabulation of the data These are all examples of non sampling errors 8 2 1 M The Frame Because the HIUS was a supplement to the LFS the frame used was the LFS frame Any non response to the LFS had an impact on the HIUS frame Because non response to the LFS is quite low usually less than 5 this impact was minimal The quality of the sampling variables in the frame was very high The HIUS sample consisted of five rotation groups from the LFS No records were dropped due to missing rotation group number or any other type of sampling variable Note that the LFS frame excludes about 2 of all households in the 10 provinces of Canada Therefore the HIUS frame also excludes the same proportion of households in the same geographical area It is likely that this exclusion introduces little if any significant bias into the survey data All variables in the LFS frame are updated monthly Some variables on the sampling frame play a critical role with respect to software application used in the survey For example in the HIUS CAI application each record must have accurate stratum cluster and rotation group codes These variables are always of very high q
40. design employing probability sampling at all stages of the design The design principles are the same for each province A diagram summarizing the design stages appears at the end of this section 5 2 1 M Primary Stratification Provinces are divided into economic regions and employment insurance regions Economic regions ERs are geographic areas of more or less A detailed description of the previous LFS design is available in the Statistics Canada publication entitled Methodology of the Canadian Labour Force Survey 1984 1990 catalogue 71 526 Since 1992 the LFS has been administered in the Yukon using an alternative methodology that accommodates some of the operational difficulties inherent to remote locales To improve reliability due to small sample size estimates are available on a three month average basis only These estimates are not included in national totals Special Surveys Division 9 homogeneous economic structure formed on the basis of federal provincial agreements They are relatively stable over time Employment insurance economic regions EIERs are also geographic areas and are roughly the same size and number as ERs but they do not share the same definitions Labour force estimates are produced for the EIER regions for the use of Human Resources Development Canada The intersections of the two types of regions form the first level of stratification for the LFS These ER EIER intersections are treated as prima
41. household spend looking for government information on the world wide web INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 96 2 112 716 239 02 At least 10 but less than 25 525 165 400 03 At least 25 but less than 50 128 42 264 04 At least 50 but less than 75 38 11 457 05 At least 75 but less than 90 9 3 150 06 At least 90 but less than 100 5 2 002 07 100 2 943 96 Valid skip 35 145 10 525 342 97 Don t know 5 927 98 Refused 0 0 99 Not stated 61 20 247 38 030 11 487 973 Coverage Those answering 01 to QO9F Special Surveys Division 113 Variable Q10G Position 90 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household spend searching for other specific information on the Internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 1 557 501 073 02 At least 10 but less than 25 1 685 535 876 03 At least 25 but less than 50 1 100 372 958 04 At least 50 but less than 75 675 216 744 05 At least 75 but less than 90 250 78 825 06 At least 90 but less than 100 81 29 651 07 100 20 6 764 96 Valid skip 32 566 9 711 521 97 Don t know 39 13 828 98 Refused 3 1 845 99 Not stated 54 18 890 38 030 11 487 974 Coverage Those answering 01 to Q09G 114 Special Surveys Division V
42. is a register which is based upon information supplied by CMHC and is maintained in the 18 largest cities across Canada The purpose of this is to ensure better representation of apartment dwellers in the sample as well as to minimize the effect of growth in clusters due to construction of new apartment buildings In the major cities the apartment strata are further stratified into low income strata and regular strata Where it is possible and or necessary the urban area frame is further stratified into regular strata high income strata and low population density 10 Special Surveys Division strata Most urban areas fall into the regular urban strata which in fact cover the majority of Canada s population High income strata are found in major urban areas while low density urban strata consist of small towns that are geographically scattered In rural areas the population density can vary greatly from relatively high population density areas to low population density areas resulting in the formation of strata that reflect these variations The different stratification strategies for rural areas were based not only on concentration of population but also on cost efficiency and interviewer constraints In each province remote settlements are sampled proportional to the number of dwellings in the settlement with no further stratification taking place Dwellings are selected using systematic sampling in each of the places sampled
43. k k k k k k k k k k k k k k k k k k 20 05 41 29 24 Fa UUUMUAANAAIATDDAADADDWOUWOUWUWUOOOORPKRPNNWH BUA 25 05 40 28 20 PFPUTDOONUATRPPRPORRPWUTORPWHDARPUAWINDAUPRWANWHAD FPP PUUNUUAAHAITIWAAWANDADUWUUWUOUWUOOORFPHFPNNWHEUD 30 05 N Ww N N SCRPWREUTORPWUANANAWDAONKFAHAWONUAFUMOWARFUDWDOUNAATN 3 PPP PPP KEUUMUUNAHNHIAINWADAWDADWOUWOUWUWUODOORPKP
44. of using the C V tables for Categorical Estimates 40 10 2 How to use the CV tables to obtain Confidence 49 10 2 1 Example of using the CV tables to obtain confidence limits 44 10 3 How to use the CV tables to do a t test 45 10 3 1 Example of using the CV tables to do attest ba eed eee ea et 46 10 4 Coefficients of Variation for Quantitative Estimates 46 10 5 Release cut off s for the Household Internet Use DUNGY i heehee oa tee eee eea 47 10 6 Tabl s a 48 Weightihg seni aaa ok fae Sk oe ae wh ee Seva ar 61 11 1 Weighting Procedures for the LFS 61 1 2 Weighting Procedures for the Household Internet Use SUVCGY sive 61 Questionnaires and Code 9 68 63 Record Layout and Univariates 85 Special Surveys Division 10 Introduction The Household Internet Use Survey was conducted for the second time by the Special Surveys Division of Statistics Canada in October 1998 for Science Innovation and Electronic Information Division at Statistics Canada This manual has been produced to facilitate the manipulation of the microdata file of the survey results Any questions about the data set or its use should be directed to Statistics Canada Jonathan Ellison Science Innovation and Electronic Information Division 13th floor Jean Talon Building Tunney s Pasture Ottawa Ontar
45. reliable than the corresponding estimates of the numerator of the proportion or percentage when the proportion or percentage is based upon a sub group of the population For example the proportion of households which have never used computer communications is more reliable than the estimated number of households which have never used computer communications Note that in the tables the CV s decline in value reading from left to right When the proportion or percentage is based upon the total population of the geographic area covered by the table the CV of the proportion or percentage is the same as the CV of the numerator of the proportion or percentage In this case Rule 1 can be used 38 Special Surveys Division When the proportion or percentage is based upon a subset of the total population e g those in a particular sex or age group reference should be made to the proportion or percentage across the top of the table and to the numerator of the proportion or percentage down the left side of the table The intersection of the appropriate row and column gives the coefficient of variation Rule 3 Estimates of Differences Between Aggregates or Percentages The standard error of a difference between two estimates is approximately equal to the square root of the sum of squares of each standard error considered separately That is the standard error of a difference X is 2 2
46. to go to Q10G Otherwise go to C10H Q10G In a typical month what share percentage of the total time using computer communications at home do members of your household spend searching for other specific information on the Internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09G C10H If 01 and to are not equal to 01 or to Q09K are not equal to 01 mark Q10H as 7 and go to 111 If 01 and any from to Q09G 01 or any from to Q09K 01 go to Q10H Otherwise go to Special Surveys Division 75 Q10H In a typical month what share percentage of the total time using computer communications at home do members of your household spend use to do general browsing on the world wide web INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 0
47. to start using computer communication services at home INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY more and better services were offered more shopping banking etc FREQ WTD 1 Yes 1 136 338 615 2 No 22 574 6 461 439 6 Valid skip 14 260 4 663 386 7 Don t know 53 22 208 8 Refused 7 2 327 9 Not stated 0 0 38 030 11 487 974 Coverage Those answering no don t know or refused to Q12 124 Special Surveys Division Variable Q13BP04 Position 117 Length 1 What would induce your household to start using computer communication services at home INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY nothing would induce you FREQ WTD 1 Yes 9 688 2 614 102 2 No 14 022 4 185 950 6 Valid skip 14 260 4 663 386 7 Don t know 53 22 208 8 Refused 7 2 327 9 Not stated 0 0 38 030 11 487 973 Coverage Those answering no don t know or refused to Q12 Variable Q13BP05 Position 118 Length 1 What would induce your household to start using computer communication services at home INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY other reasons FREQ WTD 1 Yes 6 336 2 005 949 2 No 17 374 4 794 104 6 Valid skip 14 260 4 663 386 7 Don t know 53 22 208 8 Refused 7 2 327 9 Not stated 0 0 38 030 11 487 974 Coverage Those answering no don t know or refused to Q12 Special Surveys Division 125 Variable Q14A Position 119 Length 2 Would members of the household
48. wide variety of categorical estimates produced from this microdata file and which could be readily accessed by the user a set of Approximate Sampling Variability Tables has been produced These look up tables allow the user to obtain an approximate coefficient of variation based on the size of the estimate calculated from the survey data The coefficients of variation C V are derived using the variance formula for simple random sampling and incorporating a factor which reflects the multi stage clustered nature of the sample design This factor known as the design effect was determined by first calculating design effects for a wide range of characteristics and then choosing from among these a conservative value to be used in the look up tables which would then apply to the entire set of characteristics The table below shows the design effects sample sizes and population counts by province which were used to produce the Approximate Sampling Variability Tables EFFECT SIZE Saskatchewan Special Surveys Division 37 All coefficients of variation in the Approximate Sampling Variability Tables are approximate and therefore unofficial Estimates of actual variance for specific variables may be obtained from Statistics Canada on a cost recovery basis The use of actual variance estimates would allow users to release otherwise unreleaseable estimates i e estimates with coefficients of variation in the confidential range Re
49. 0 20 4 9 9 9 3 8 6 8 0 7 4 6 7 5 2 1 8 6 8 16 EAA RICE ES 20 7 20 6 20 3 9 8 9 2 8 6 8 1 7 4 6 8 6 1 4 7 1 4 6 6 LY RA RIE 20 1 20 0 Deel 8 6 But TS 6 9 Bad 4 3 Tet 6 4 18 SNARES 9 6 wS 8 6 7 6 7 0 6 4 SB 52 3 9 0 8 6 2 19 SERRE 9 0 8 9 8 6 8 1 7 6 Pad 6 6 6 0 5 4 4 8 0 5 6 0 20 8 6 8 5 8 2 7 2 6 1 5 6 4 4 3 2 0 2 5 9 21 RARER 8 1 8 0 7 7 Tad 6 8 6 3 5 8 52 4 7 4 1 2 9 0 0 5 8 22 A Re eR y BPAY 7 6 Ted 6 9 6 4 59 5 4 4 9 4 3 3 8 2 6 DT 5 6 23 REA RIE AE T3 7 2 6 9 6 5 6 0 5 6 Beak 4 5 4 0 3 5 2 23 9 5 D 24 FERREE ES 6 9 6 9 6 6 6 1 5 2 5 2 4 7 4 2 3 37 3 2 2 0 953 5 4 25 RE RREK ES 6 6 6 5 628 5 8 5 4 4 9 4 4 4 0 3 4 2 9 1 8 533 30 EERE CEES Sadi Sed 4 8 4 4 4 0 3 6 32 FN 1 8 0 8 853 4 8 35 SERRE 4 0 4 0 Spat 3 4 3 0 2 6 2 2 1 8 1 4 0 9 0 0 7 7 4 5 40 EKESTIS 3 1 29 D505 2 2 1 8 1 4 1 0 0 6 0 2 9 3 Hie 4 2 45 RA RAR RR RR REE 253 w TaS Tet 0 8 0 4 0 0 9 6 8 8 6 8 99 50 i d a 1 2 0 9 0 5 0 2 Tg WS 9551 8 3 6 5 ST 95 KEKE EAE RAS BK TE 1 1 1 0 0 7 0 4 0 1 9 7 9 4 91 8 7 8 0 6 2 3 6 60 EAE EAE IES PLEAS 0 7 60 5 0 2 9 9 9 6 953 9 0 8 7 8 3 7 6 5 9 3 4 65 EK ARE EA RR ER ICR RES 0 1 9 8 Or 3 9 0 8 7 9 8 0 ee B53 70 ERER EE REE ERASE 9 9 Sya E Pa 8 9 8 6 53 8 0 7 0 eyes 32 75 LEELA RS ESKER 9 5 9 4 9 1 8 9 8 6 8 3 8 1 7 8 15 6 8 53 3 0 80 ERA ALAA RAE ERK ER D2 9 1 8 8 8 6 8 3 8 1 7 8 B35 6 6 S
50. 1 480 11 Prince Edward Island 1 072 12 Nova Scotia 2 531 13 New Brunswick 2 232 24 Qu bec 7 490 35 Ontario 11 228 46 Manitoba 2 756 47 Saskatchewan 2 868 48 Alberta 2 934 59 British Columbia Yukon 3 439 96 Valid skip 0 99 Not stated 0 38 030 Coverage All respondents Note Information picked up from the LFS file 86 WTD 7 486 596 4 001 377 11 487 972 WTD 192 809 50 378 356 720 282 453 2 959 571 4 231 569 419 822 382 341 1 066 488 1 545 822 11 487 971 Special Surveys Division Variable EFAMSIZE Position 10 Length 2 Economic family size Allowed Min 01 Allowed Max 99 FREQ WTD 01 1 person 10 165 3 211 831 02 2 persons 12 261 3 564 709 03 3 persons 6 128 1 808 659 04 4 persons 6 238 1 900 965 05 5 or more persons 3 238 1 001 808 96 Valid skip 0 0 99 Not stated 0 0 38 030 11 487 972 Coverage All respondents Note This is a variable merged from the LFS file Matched with the respondent through realukey and line number Variable URURAL Position 12 Length 1 Rural Urban Identification FREQ WTD 0 Urban 28 115 9 594 623 1 Rural 9 915 1 893 350 6 Valid skip 0 0 9 Not stated 0 0 38 030 11 487 973 Coverage All respondents Note Derived variable This variable is derived from the FRAME variable of the LFS file which was picked up by matching with the LFS file Special Surveys Division 87 Variable CMATAB Position 13 Length 2 This item indicates the Census Metropolitan Area CMA in wh
51. 1 487 972 In a typical month does any member of your household use a computer at home for E Mail Coverage 100 FREQ Yes 6 710 No 412 Valid skip 30 866 Don t know 7 Refused 0 Not stated 35 38 030 Those answering yes to Q07 WTD 2 219 953 137 339 9 115 512 3 049 11 487 972 Special Surveys Division Variable Q09B Position 54 Length 2 IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME for Electronic banking FREQ WTD 01 Yes 1 716 594 745 02 No 5 399 1 760 060 96 Valid skip 30 866 9 115 512 97 Don t know 13 5 385 98 Refused 0 0 99 Not stated 36 12 272 38 030 11 487 973 Coverage Those answering yes to Q07 Variable Q09C Position 56 Length 2 IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to purchase goods and services on the Internet FREQ WTD 01 Yes 808 283 521 02 No 6 314 2 074 897 96 Valid skip 30 866 9 115 512 97 Don t know 6 1 773 98 Refused 0 0 99 Not stated 36 12 272 38 030 11 487 973 Coverage Those answering yes to Q07 Special Surveys Division 101 Variable Q09D Position 58 Length 2 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to search for medical or health related information on the Internet FREQ 01 Yes 3 526 02 No 3 587 96 Valid skip 30 866 97 Don t know 13 98 Refused 1 99 Not stated 37 38 030 Coverage Those answering yes to Q07 Variable QO9E Position 60 L
52. 11 8 111 10 6 9 6 99 8 9 8 6 8 4 8 1 7 9 oE i TB Tn Faa 7 0 6 8 6 7 6 1 5 6 Sia 50 4 7 4 5 4 3 4 1 4 0 3 9 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 50 0 70 0 90 0 30 23 ak 21 16 ahs ales L533 11 13 10 7 9 11 10 5 WWWWWWWWP PP
53. 13 Length 1 What are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY other reasons FREQ WTD 1 Yes 3 381 1 051 870 2 No 3 095 1 014 530 6 Valid skip 31 545 9 418 727 7 Don t know 9 2 846 8 Refused 0 0 9 Not stated 0 0 38 030 11 487 972 Coverage Those answering yes to Q12 Variable Q13BP01 Position 114 Length 1 What would induce your household to start using computer communication services at home INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY the cost was much lower FREQ WTD 1 Yes 7 979 2 270 441 2 No 15 731 4 529 612 6 Valid skip 14 260 4 663 386 7 Don t know 53 22 208 8 Refused 7 2 327 9 Not stated 0 0 38 030 11 487 973 Coverage Those answering no don t know or refused to Q12 Special Surveys Division 123 Variable Q13BP02 Position 115 Length 1 What would induce your household to start using computer communication services at home INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY they could be easily accessed through the television using remote control FREQ WTD 1 Yes 2 493 733 810 2 No 21 217 6 066 242 6 Valid skip 14 260 4 663 386 7 Don t know 53 22 208 8 Refused 7 2 327 9 Not stated 0 0 38 030 11 487 973 Coverage Those answering no don t know or refused to Q12 Variable Q13BP03 Position 116 Length 1 What would induce your household
54. 202 06 At least 90 but less than 100 1 222 07 100 0 0 96 Valid skip 37 037 11 168 080 97 Don t know 5 1 191 98 Refused 0 0 99 Not stated 52 18 031 38 030 11 487 973 Coverage Those answering 01 to QO9K Variable Q11A Position 100 Length 2 How would your household s use of computer communications at home in a typical month increase if the cost were much lower READ CATEGORIES TO RESPONDENT FREQ WTD 01 Substantially 874 287 782 02 Noticeably 1 097 341 067 03 Little or nothing 5 742 1 940 084 96 Valid skip 30 221 8 882 565 97 Don t know 24 10 433 98 Refused 3 1 481 99 Not stated 69 24 559 38 030 11 487 97 1 Coverage Those answering yes to Q03A 118 Special Surveys Division Variable Q11B Position 102 Length 2 How would your household s use of computer communications at home in a typical month increase if more and better services were available e g for shopping banking etc READ CATEGORIES TO RESPONDENT FREQ WTD 01 Substantially 779 278 158 02 Noticeably 1 849 623 245 03 Little or nothing 5 067 1 663 847 96 Valid skip 30 221 8 882 565 97 Don t know 40 13 709 98 Refused 5 1 890 99 Not stated 69 24 559 38 030 11 487 972 Coverage Those answering yes to Q03A Variable Q11C Position 104 Length 2 How would your household s use of computer communications at home in a typical month increase if access were easier AN EXAMPLE OF EASIER ACCESS COULD BE USING THE TV SCREEN AND REMOTE CONTROL
55. 30 212 9 311 049 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents 130 Special Surveys Division Variable Q15P09 Position 131 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Child Tax Benefit FREQ WTD 1 Yes 5 848 1 527 652 2 No 31 303 9 688 700 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 972 Coverage all respondents Variable Q15P10 Position 132 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Provincial or municipal social assistance or welfare FREQ WTD 1 Yes 2 748 814 660 2 No 34 403 10 401 693 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents Special Surveys Division 131 Variable Q15P11 Position 133 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Child Support OONDN Coverage Variable Q15P12 FREQ Yes 698 No 36 453 Valid skip 0 Don t know 268 Refused
56. 32 167 230 13 158 11 487 973 133 Variable Q16 Position 137 Length 6 What is your best estimate of the total income before taxes and deductions of all household members from all sources in the past 12 months Allowed Min 000001 Allowed Max 999990 FREQ WTD 000000 900000 26 141 8 085 308 999996 Valid skip 10 2 405 999997 Don t know 8 975 2 515 481 999998 Refused 2 868 871 614 999999 Not stated 36 13 158 38 030 11 487 965 Coverage respondent who answered Q15P14 01 or Q15 ne 14 Note If amount is entered go to 118 Variable QUARTILE Position 143 Length 1 Income Quartiles FREQ WTD 1 Quartile one lt 20 000 10 211 2 872 184 2 Quartile two 20 001 35 999 9 891 2 871 478 3 Quartile two 36 000 59 999 9 524 2 871 959 4 Quartile two 60 000 8 404 2 872 352 6 Valid skip 0 0 9 Not stated 0 0 38 030 11 487 974 Note Derived Variable The second quartile starts at 20 001 because there were more households with income 20 000 that belonged in the 1st Quartile than there were in the 2nd Quartile Values at cut off points are randomly distributed to the two adjacent quartiles from the unweighted records to form quartiles of the same size This eliminates the bias in the selection process Variable FINWT Position 144 Length 9 4 Record Weight 134 Special Surveys Division
57. 5 4 4 9 4 4 3 9 3 3 2 2 9 4 5 4 10 ERLE ERR EERE RE IEEE 9 535 5arO 4 6 4 1 FF Faa 2 6 PS 8 9 Gaa 11 AAA ERA AE ES LEAR EAR RES 2 4 8 4 3 9 3355 3 0 21565 Devel 1 0 8 5 4 9 12 LEEK RRL KATETE 4 5 4 1 3 3 D709 25 2 0 1 5 0 5 8 2 4 7 13 REAR ACE AR ACR SR RRR HR Ree RE 4 0 3 6 2 8 2 4 2 0 1 5 alae A 0 1 7 8 4 5 14 REE TCR EM RRR A RR RE 3 4 KERA Dist 253 1 9 wS 1 1 0 7 9 8 7 6 4 4 15 3 0 2 6 2 53 1 9 1 5 1 1 0 7 0 3 9 4 Tea 4 2 16 RA RICE RIES RK RRR A RRR IE 2 6 2 2 1 9 1 5 12 0 8 0 4 0 0 9 1 Tel 4 1 LY ERA IL SK EER LER ERE RE Eag 15 2 0 8 0 205 1 9 8 9 6 9 4 0 18 EA ARRAS ER T79 105 Loa 0 9 5 0 2 9 8 9 4 8 6 6 3 8 19 SAE ASAE ES AK RAIL HR EE 145 0 9 0 6 0 53 92 9 9 35 9 2 8 4 6 5 SeT 20 AR Re tat A Sele eR Rl ta Tey 1 2 0 9 0 6 0 3 0 0 9201 9 33 8 9 8 2 6 3 3 6 21 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 0 7 0 4 0 1 9 8 9 4 9 1 8 7 8 0 6 2 3 6 23 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 0 4 0 1 9 8 9 5 9 2 8 9 8 5 7 8 6 0 3 5 23 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 0 2 9 9 9 6 9 3 9 0 8 7 8 3 7 6 5 9 3 4 24 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 0 0 9 7 9 4 9 1 8 8 8 5 8 2 7 4 5 8 3 3 25 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 8 9 5 9 2 8 9 8 6 8 3 8 0 Ta 5 7 3 3 30 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 9 8 7 8 4 8 2 7 9 7 6 7 3 6 7 5 2 3 0 35 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 3 8 0 7 8 7 6 7 3 7 0 6 8 6 2 4 8 2 8 40 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 7 7 7 5 6 8 6 6
58. 5 9 5 7 5 5 5 3 4 8 367 9 52 90 KR KKK RRR RRR KR RRR RRR RK RRR 6 5 6 3 1 5 9 5 7 5 5 5 3 5 1 3 6 A 95 KR KR KKK KR RK KR KR RRR KR KR KK RRR RRR RR KEE 6 1 5 9 5 8 5 6 5 4 5 2 5 0 4 6 3 5 2 0 100 KR KR KR 6 0 5 8 5 6 5 4 5 3 5 1 4 9 4 4 3 4 2 0 125 KR KR KR KR RK KR RK RRR KR KR RRR KR KERR RRR EK Suz 5 2 5 0 4 9 4 7 4 5 4 4 4 0 1 8 150 KKK KR KR RRR KR KR RK KK RK KR KKK RRR EK 4 9 4 7 456 4 4 4 3 4 1 4 0 3 6 2 8 1 6 200 4 1 4 0 3 9 30 7 3 6 S a 3300 2 4 1 4 250 3 6 3 4 3 53 e 268 22 Ds 300 HR KR RR KR RR RK RRR KR KR KK KR KR KR RRR KK RR RK KR RR KK KR RK KR RRR K 3 2 3 1 3 0 2 9 2 8 SE 2 0 350 3 0 2 9 2 8 2 7 2 6 2 4 1 8 ae 400 KR KR KR KR RR RR RR RK RR KK KKK KKK KR RRR KR RR KR RRR KR KR RRR KK RR KR KR KR RK 2 7 2 6 2 5 2 4 29 27 1 0 450 RK KK KR KR RR RR RR KK KR KR KR RR KR RRR KR RRR KR RR KR RRR KR KR RRR KR RRR KR RR RK 26 2 5 2 4 2 3 2 2 1 6 0 9 500 2 4 25 3 22 2 0 1 5 0 9 750 RRR KR KR RR RR RR RR KR KR KR RR KR KR KR RR KK RRR KR KKK KR KK RK KR RR KK KR RK KR KR KR KR KR RRR KR RRR RRR KR RRR KR KR RK T6 13 0
59. 5 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09H 01 and to are not equal to 01 or QO9J to are not equal to 01 mark as 7 and go to 111 If QO9I 01 and any from QO9A to 01 or any from Q09J to Q09K 01 go to 0 Otherwise go to I10J Q101 In a typical month what share percentage of the total time using computer communications at home do members of your household spend playing games on the Internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to C10J If QO9J 01 and to 09 are not equal to 01 or QO9K is not equal to 01 mark Q10J as 7 and go to 111 If QO9J 01 and any from QO9A to 01 or QO9K 01 go to Q10J Otherwise go to C10K 76 Special Surveys Division Q10J In a typical month what share percentage of the total time using computer communications at home do members of yo
60. 53 0 512 49 3 47 4 43 3 2325 19 4 3 SER REE 49 7 49 5 48 7 47 4 46 1 44 7 43 3 41 8 40 3 38 7 35 3 27 4 15 8 4 F 43 1 42 8 42 2 41 1 39 29 98 e 36 2 34 9 35555 30 6 23 3 1 137 5 RR 38 5 38 3 37 7 36 7 35557 34 6 3345 32 4 31 2 30 0 27 4 21 2 122 6 RAR RR 3542 35 0 34 4 337 5 32 6 31 6 30 6 29 6 28 5 27 4 25 0 9 4 11 2 7 HEX RIK HX 32 5 32 4 31 9 31 0 30 2 29 3 28 3 27 4 26 4 25 33 25 1 P39 10 3 8 REA REA 30 4 30 3 29 8 29 0 28 2 27 4 26 5 25 6 24 7 251 21 6 6 8 9 7 g REAR ES 28 7 28 6 28 1 27 4 26 6 25 8 25 0 24 1 PE 3 22 53 20 4 5 8 Oa 10 RRR ICE SR 2754 26 7 26 0 25 52 24 5 2350 22 9 22 21 52 9 4 5 0 8 7 eal RAR kA 26 0 25 8 25 4 24 8 24 1 23 3 22 6 21 8 21 0 20 2 8 5 4 3 8 3 12 REAR ERS 24 9 24 7 24 4 23 7 23 0 22 3 21 6 20 9 20 1 9 4 rie BT Aya 13 REAR RE 23 9 23 8 23 4 22 8 ei 2155 20 8 20 1 9 4 8 6 7 0 Sok 7 6 14 23 0 22259 22 55 21 9 2153 20 7 20 0 9 4 8 6 7 9 6 4 Ted 15 22 2 22 1 21 8 21 2 20 6 20 0 9 4 8 7 8 0 7 3 5 8 2 2 7 1 16 RK EEE ARIES RIK EEE 21 4 21 1 20 5 9 9 9 4 8 7 8 1 7 4 6 8 5 53 1 9 6 8 LY ERPS AEE ERIC EE 20 8 20 5 93 9 9 4 8 8 8 2 7 6 6 9 643 4 8 LYS 6 6 18 ARE ER 20 2 ee 9 4 8 8 8 2 SL Tak 6 4 5 8 4 4 ioa 6 5 19 9 4 8 8 8 3 7 8 7 2 6 6 6 0 5 4 4 0 0 9 6 3 20 ARIE ERICK IM 19 2 8 9 8 4 7 8 6 8 6 2 5 6 53 0 37 0 6 6 1 21 18 7 8 4 7 9 7 4 6 9 6 4 5 8 4 6 3 4 0 3 6 0 22 ICR ER CRE 18 3 8 0 T
61. 6 7 6 5 6 2 6 0 5 5 4 2 2 4 150 6 7 6 5 6 3 6 1 5 9 5 7 5 5 5 0 3 9 2 200 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 5 6 5 5 5 3 5 1 4 9 4 7 4 3 3 4 Teg 250 4 9 Y e i 4 6 4 4 4 2 3 9 3 0 1 7 300 RK KR KR KR RK KR RR KR RRR KR KR KK KR RRR KR RRR KR RRR KK RRR KK RR RK 4 5 4 3 4 2 4 0 3 9 3 5 2 7 1 6 350 RR KR RR RK KR KR RR RRR KR KR RK KK KR KR RRR KK RR KR KR RK KR RK KR KER KR RRR RK 4 0 3 9 3 3 3 6 3 3 25 400 RK KK RR RK RR RR RK RRR KR KKK KR RR KK RR RK KR KR KR RK KR KKK RRR KK RRR KR RRR KR KR KEK 3 6 3 5 3 4 3 1 2 4 1 4 450 RK KR KR KR RR KR RR RK RRR KR KR KR KR RRR KR RR KK RRR KR KR RK KR KKK RRR KR RRR KR RRR RK KEK 3 4 3 2 2 9 2 2 T3 500 FT 3 0 DEF 1 2 750 RK KR KR KR RK RR RR RR RRR KR KR KR KR RRR KR KR RK RRR KR KK KK KR KR RR KR RR RK RRR KR KR KR RR KR RR KR RRR KR KR RRR KR RR RK Tsa 10 1000 RR KR KR RR RR RR KR RR RK KKK KR KR KR RR KK RR KR KR KR KR KK RR KK KK KK RR RK KR RK KK RR KR KKK KR RR KK RRR KR KR RRR KR KR RR KR KR RK 1 5 0 9 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION Special Surveys Division 57 HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variabilit
62. 7 1000 1 3 0 6 1500 0 5 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER MICRODATA DOCUMENTATION Special Surveys Division 59 HOUSEHOLD INTERNET USE SURVEY Approximate Sampling Variability Tables for CANADA NUMERATOR OF PERCENTAGE 000 DIHDUNAWNE 95 100 125 150 200 250 300 350 400 450 500 750 1000 1500 2000 3000 4000 5000 6000 7000 8000 9000 10000 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION 60 23 NYONNUOMOUWORPRPWH oe 6 kk kkk kkk kkkkk kkk kkk kkk kk kk kkk kkk kkk kk kk kkk kkk kk kk kkk kkk kk kkk kkk kk kkk kkk kkk kkk kk kkk kkk kk KRKKKKKEK KKKKKKEK kkk kkk kk kkk kk kk kkkkk kkk kkkk kk kk kkk kk kk kk kkk kkk KRKKKKEK KRKKKKKEK kkk kk kk kk kkk kkk kk kkk kkk kk kkk kkk kkk kkk kk kkk kkk kk kk kk kk kk kk kkk kkk 00 50 1 o SCNBIYCWAOUODWENAONDAOKRAWORHOADUUHAONUKRADODWOHD
63. 8 98 Refused 1 854 99 Not stated 55 17 947 38 030 11 487 973 Coverage Those answering 01 to Q09I 116 Special Surveys Division Variable Q10J Position 96 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household participate in chat groups on the Internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 1 108 345 386 02 At least 10 but less than 25 504 155 986 03 At least 25 but less than 50 246 80 668 04 At least 50 but less than 75 125 38 072 05 At least 75 but less than 90 69 22 036 06 At least 90 but less than 100 27 7 878 07 100 8 2 003 96 Valid skip 35 863 10 808 996 97 Don t know 22 5 454 98 Refused 0 0 99 Not stated 58 21 494 38 030 11 487 972 Coverage Those answering 01 to QO9J Special Surveys Division 117 Variable Q10K Position 98 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household spend using the Internet for things we have not mentioned INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 674 216 752 02 At least 10 but less than 25 170 54 635 03 At least 25 but less than 50 60 20 124 04 At least 50 but less than 75 25 7 737 05 At least 75 but less than 90 6 1
64. 8 2 4 2 0 Tys 5 Sx 4 7 19 SAREE ARS 4 3 4 1 nE i e 2 9 255 2 3 1 6 ee 0 2 epe 4 6 20 SAREE ARE ERK IM 3 9 37 3 3 3 0 2 6 PARA 1 8 1 3 0 9 9 59 Dek 4 4 21 RRA EAR ICE ERC RE 3 6 3 4 3 0 27 Did 1 9 1 5 Tak 0 6 mF Tid 4 3 22 RAK KR ICR ERR 31 3 KENN Deel 2 4 2 0 1 6 Tea 0 8 0 4 95 Lad 4 2 23 RAK RIE AR AEE FROCK IA 3 0 2 8 2 4 Als 1 1 4 1 0 0 6 0 2 943 7 2 4 1 24 PEARS AR RE ERICK IE 23 7 2 5 2 2 1 8 1 5 1 1 0 7 0 4 9 9 9 1 7 0 4 1 25 REXEL SERRE 25 8 Teg 1 6 Taz 0x9 5 1 907 8 9 65 29 4 0 30 EERE ER REE 1 4 13 0 9 0 6 0 3 9 9 6 93 3 8 9 8 1 6 3 3 6 35 SEAR AR AE ERK EA 0 5 0 4 0 1 9 8 925 9 2 8 9 8 6 8 2 2 5 5 8 3 4 40 KKK KKK KR RRR KR RRR RRR KR KR KEK 9 4 9 2 8 9 8 6 8 3 8 0 Tad 5 4 Sui 45 KR KKK RRR KERR RRR KR KERR KR KEK 9 1 8 9 8 6 8 4 8 1 7 8 TG 7 3 6 6 5 1 3 0 50 KR KK KR KR KR RRR KR RRR RRR KR KR KEK 8 7 8 4 85 8 0 7 4 7 2 6 9 6 3 4 9 2 8 55 KR KKK RRR RRR KR RRR KR RRR KR KEK 8 3 8 0 7 8 Te P33 FT 6 8 6 6 6 0 4 6 60 KKK KKK KR RRR KR RRR KR KR RRR KKK 7 9 bs es 7 5 7 3 7 0 6 8 6 5 6 3 5 7 4 4 2 6 65 KR KK KR RR KERR KR RRR KR KR KKK Pb 7 4 22 7 0 6 8 6 5 6 3 6 0 5 5 4 3 2 5 70 KR KK KR RR KERR KR RRR KR RRR KKK 7 3 6 9 6 7 6 5 6 3 620 5 8 5 3 4 1 2 4 75 KR KKK RRR RRR RRR KR RRR KR KR KEK by ae i 6 9 627 6 5 6 3 6 lt 1 5 9 5 6 5 1 4 0 Spec 80 KKK KKK RRR KR KR RRR RRR KR KR KEK 6 9 6 7 6 5 6 3 6 1 5 9 5 7 5 4 5 0 3 9 23D 85 KR KK KR RR RRR KR RRR RRR RR KR KEK 6 6 6 5 6 3 6 1
65. D INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for PRAIRIES NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 1 62 9 62 6 62 3 61 3 SOT 58 0 56 3 54 5 52 6 50 7 48 7 44 5 34 4 19 19 2 PAAR 44 3 44 0 43 3 42 2 41 0 39 8 385 3549 34 4 31 4 24 4 14 1 3 SER RRS 36 1 3549 35 4 34 4 335 SARD 31 4 30 4 29 53 28 1 2557 19239 11 5 4 PARI 3123 31 1 30 7 29 8 29 0 28 1 Pd Boe 26 3 25 4 24 4 22 2 LF A 9 29 5 RRR RRR 28 0 27 8 27 4 26 7 25 9 25 2 24 4 23 5 2251 21 8 99 15 4 8 9 6 RAR RR 2545 25 4 25 0 24 4 23 7 23 0 225 2 21 5 20 7 9 8 2 14 1 7 HEX RIK HX 23 7 23 5 23 2 22 6 21 9 213 20 6 9 9 9 2 8 4 6 8 13 0 Ts 8 PE AREAS 221 22 0 21 7 21 1 20 5 9 9 9 3 8 6 Tag 7 2 5 7 L232 7 0 g REAR ES 20 9 20 8 20 4 9 9 93 3 8 8 8 2 TS 6 9 6 2 4 8 17 25 6 6 10 RRR ICR ER 19 8 9 9 4 8 9 8 3 TB a 6 6 6 0 5 4 4 1 10 9 6 3 11 RAR kA 18 9 8 8 8 5 8 0 Ls 7 0 6 4 5 9 53 4 7 3 4 10 4 6 0 12 RAR ER 18 1 8 0 eiei 7 2 sT 6 2 Bel S72 4 6 4 1 2 8 9 9 Bat 13 REE A 17 4 Las 7 0 6 5 6 1 5 6 Sauk 4 6 4 1 335 2 03 9 6 Brad 14 16 7 6 6 6 4 5 9 Bab 5 0 4 6 4 1 3 6 3 0 1 9 9 2 5rd 15 16 2 6 1 5 8 5 4 5 0 4 5 4 1 3 6 3 2 6 1 5 8 9 Beak 16 EAA REESE 15 6 5 6 5 63 4 9 4 5 4 1 3 6 3 2 A T 2 2 11 8 6 550 LY IE 315 2 Sak 4 9 4 5 4 1 3 6 35 2 2 8 DiS 18 0 8 8 4 4 8 18 REAR EEA 14 8 4 7 4 4 4 1 Fo FNA 2
66. DE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 2 620 824 873 02 At least 10 but less than 25 638 192 604 03 At least 25 but less than 50 174 54 102 04 At least 50 but less than 75 47 14 371 05 At least 75 but less than 90 22 6 076 06 At least 90 but less than 100 5 2 073 07 100 3 1 661 96 Valid skip 34 453 10 368 060 97 Don t know 13 5 075 98 Refused 1 461 99 Not stated 54 18 616 38 030 11 487 972 Coverage Those answering 01 to Q09D Special Surveys Division 111 Variable Q10E Position 86 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household use the Internet for formal education or training INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 749 250 547 02 At least 10 but less than 25 666 223 117 03 At least 25 but less than 50 416 146 799 04 At least 50 but less than 75 274 96 712 05 At least 75 but less than 90 112 38 841 06 At least 90 but less than 100 30 9 228 07 100 10 3 612 96 Valid skip 35 715 10 697 825 97 Don t know 14 5 436 98 Refused 0 0 99 Not stated 44 15 857 38 030 11 487 973 Coverage Those answering 01 to QO9E 112 Special Surveys Division Variable Q10F Position 88 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your
67. EHENNNWWWKRKBUDA TOW DBOONFAOCUNWAONUONUOUADONBFAHANOPFPUANTWHERPWUDAFRIORDWOAOWONTUPUOHDAIAHAOPW N SOODDOORPKRFPRHFRHENNNNNWWWKEKEKEP KPUUUUNHAHAIAITNWDADWDWOUWUUWUWUODOOORPKRFPENNWKHRUDHDTOPF MUU ANANHATIWDOFRPBHOOKFPWUNAITOCUNAOWRUNADWORFPWUDARFPBRANANHTOKPWHArFPRIRPPOROUWENUP BIW OO NWWWWWPRUNDHWDWOKRPNNWEHATONUUANAAITDWDOORPNWUATONUOMOONWRUATDONFPHNOFPUANATWHREEAWU NNW Special Surveys Division 11 0 Weighting ns Since the HIUS used a sub sample of the LFS sample the derivation of weights for the survey records is clearly tied to the weighting procedure used for the LFS The LFS weighting procedure is briefly described below 11 1 PN Weighting Procedures for the LFS In the LFS the final weight attached to each record is the product of the following factors the basic weight the cluster sub weight the balancing factor for non response and the province age sex ratio adjustment factor Each is described below Basic Weight Quality standard i e the targeted c v could be relaxed a bit to reduce the size of the required sample 11 2 a Weighting Procedures for the Household Internet Use Survey The principles behind the calculation of the weights for the HIUS are nearly identical to those for the LFS However this survey is a household w
68. EK 36 3 36 2 35 6 kkkkkk kk 33 6 33 5 33 0 KKK KK EK 31 5 31 3 30 8 KR RK KR RK 29 7 29 5 29 1 KR KKK KEK 28 1 28 0 2726 KR RRR EK 26 8 26 7 26 3 kkkkkk kk 25 7 25 6 25 2 KKK KK KEK 24 6 24 2 KKK KK KEK 23 8 23 7 23 03 kkkkkk kk 23 0 22 9 259 KKK KK KEK QOD 22 1 21 8 KKK KKK EK 24 56 21 5 21 1 kkkkkk kk 21 0 20 9 20 5 KKK KR KEK 20 4 20 3 20 0 kkk kkk kk 19 9 9 8 9 5 kkkkkkkk 19 4 9 3 9 0 19 0 8 9 8 6 KKK KKK 18 6 8 5 8 12 KKK KK EK 18 2 8 1 7 8 KR KKK KEK 17 8 AA 7 4 Kk k k k k k k k k k k k k k k 6 2 9 KR KK KR RK KERR KR RK 5 0 4 7 KEK EEEE EEE EEE E E 4 0 3 8 KR KK KERR KR RR RRR K 3 0 KR KK KER KKK KKK EK Dols 2 03 KKK KK RRR KR RRR RRR 1 9 1 8 OR RR RR RRR RRR RK RR RR RRR ues KOR RRR RRR RR RRR RR RRR 0 8 KOR RR IR RRR RR RK ER RR RRR 0 4 1 1 0 KOR RR KR RRR RR RK RR RR KEKE 9 7 KOR RR RR RRR RRR RK RR RR RR RE 9 5 KOR RRR RRR RRR RK RR RR RE RE 9 2 KOR RRR RRR RR RK RR RR RR RE 8 9 HOR RR RR RR KR RR KK RR RR RRR 8 7 KOR KR RRR RRR RRR RK RR RR RRR 7 8 10 05 SCORPRFPNWHRUNDWAONFAINWOOR NAHAIWDDADWWOUWUUWUOORKRPNNWHRUTDTINADWDYHW WO SCONUAONUNAFUOKRONDKFWUNOWTRPUOUNONNOTDUUADWWORHDOFOOW 4
69. EPENBHNHDWDONUANNANOHNKFKFKFEHAONUNOWTITKPANAUNWHENFUOTRPWOWD PRPRPRPRPNNNWWWWKRRPUNDHADAAHAIATIITAIWDWOUWOORPNNNNWWWKEHEUUANAHAAIOWO 50 05 70 05 90 05 e 42 24 39 30 LTS 31 24 14 27 12 24 11 10 20 0 SCRPRRRFPRFNNNNWWWWKEKBUUUNNHADAAAHAITIAINWDWWDOORPRPRFP
70. It is also designed to include those who may not have used them recently e g last month perhaps because they were unemployed or on vacation from school or work but who do so under normal circumstances It is also intended to include people who have only recently started to use them so the last month may not be typical of previous months but likely will be typical of future months Variable Q02A Position 24 Length 2 Do any of the household members aged 18 and over use computer communications in a typical month FREQ WTD 01 Yes 5 435 1 712 169 02 No 852 226 326 96 Valid skip 31 707 9 537 610 97 Don t know 1 153 98 Refused 0 0 99 Not stated 35 11 717 38 030 11 487 974 Coverage All with children under 18 answering yes to Q01B 92 Special Surveys Division Variable Q02B Position 26 Do any of the household members aged under 18 use computer communications in a typical month 01 Yes 02 No 96 Valid skip 97 Don t know 98 Refused 99 Not stated Coverage All with children under 18 answering yes to Q01B Variable Q03A Position 28 FREQ 3 766 2 516 31 707 38 030 WTD 1 090 870 846 390 9 537 610 1 387 11 487 973 In a typical month do any members of your household use computer communications at home 01 Yes 02 No 96 Valid skip 97 Don t know 98 Refused 99 Not stated Coverage Those with positive responses in Q01B Special Surveys Division FREQ 7 775 4 999 25 222 WTD 2 594 140
71. K ALL THAT APPLY For other reasons not mentioned FREQ WTD 1 Yes 377 119 952 2 No 1 895 654 871 6 Valid skip 35 715 10 697 825 7 Don t know 3 1 191 8 Refused 0 0 9 Not stated 40 14 134 38 030 11 487 972 Coverage Those answering 01 to QO9E Special Surveys Division 107 Variable Q10A Position 78 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household use on E mail INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 2 515 815 371 02 At least 10 but less than 25 1 974 642 301 03 At least 25 but less than 50 951 329 604 04 At least 50 but less than 75 599 195 454 05 At least 75 but less than 90 303 101 584 06 At least 90 but less than 100 151 50 518 07 100 165 66 972 96 Valid skip 31 278 9 252 850 97 Don t know 39 13 143 98 Refused 4 2 261 99 Not stated 51 17 911 38 030 11 487 971 Coverage Those answering 01 to Q08 or 01 to QO9A 108 Special Surveys Division Variable Q10B Position 80 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household do electronic banking INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 1 213 425 470 02 At least 10 but less than 25 347 114 362 03 At least
72. K RRR RK 7 4 Ted 6 9 6 6 6 4 5 8 4 5 2 6 10 KR KK KR RR RR KR KR RRR KK KER KR RRR KR KR RRR KR RRR KR KR RRR KK KR RK TsO 6 8 6 5 6 3 6 1 5 5 4 3 2 5 11 RR KR KR KR RR RR RR KR RR KK KKK KK KR KR RRR KR KR RR KR KR RRR KR RR RK KR RRR KR RK 6 5 6 2 6 0 5 8 5 3 4 1 2 4 12 6 2 6 0 5 8 5 5 5 0 3 9 223 13 5 7 5 5 5 3 4 9 3 8 2 32 14 RK KR KR RK RR RR RR RRR KR KR KK RK RRR KK RR KK KR RR KKK KR KR KR RRR KK RRR KR KR RR KR KR RRR 5 5 5 3 5 1 4 7 3 6 Ds 15 RK KR KR KR RR KR KR RK RRR KR KK KR KR RRR KK RR KK KR RK KKK KR KERR RRR KR RRR KR KR RRR KR KEK 5 3 5 1 4 9 4 5 3 5 2 0 16 5 0 4 8 4 4 3 4 2 0 17 4 8 4 6 4 2 3 3 1 9 18 4 5 4 1 3 2 1 8 19
73. Microdata User Guide Household Internet Use Survey 1998 Special Surveys Division August 2002 Table of Contents aa 1 0 INCFOGUCTION s eed si eed eat ees 1 2 0 Background a ee aa i 3 3 0 ce eaten ea Nm ere sa ica ate ew ic 5 4 0 Concepts and Definitions c cee ee 7 5 0 Survey Methodology 9 5 1 Population Coverage 9 5 2 Sample Design i a a a a 9 5 2 1 Primary Stratification 10 5 2 2 665 10 5 2 3 Secondary Stratification 11 5 2 4 Cluster Delineation and Selection 11 5 2 5 Dwelling Selection 12 5 2 6 Person Selection 12 5 3 Sample 8 6 15 5 4 Sample 15 5 5 Modifications to the LFS design for the Supplement16 5 6 Sample size by Province for the Supplement 16 6 0 Data Collection 17 6 1 Interviewing forthe LFS 17 6 2 Supervision and 18 6 3 Non Response to the LFS 18 6 4 Data Collection Modifications for the Household Internet Use Survey 18 6 5 Non Response to the Household Internet LISS OUIVEY cuc
74. NWWHEATYO 9 35 0 NNW BOAN MWOORPNFUTORPWHOFUHDITORPNUATONFDORPUUOKROHKFWHK WOW OT PPP UUUNAAAHAAIITAIWADWDADWOUWOUWODOOORPNNWHUADA 40 05 NNW KUA NANO OPAN RARAN 1 1 165 1 65 ABAR 1 3 3 50 05 70 05 90 05 33 25 3 14 18 1 19 14 16 TAs 14 LEs L3 10 12 11 10 Vw E E E E E E E E E E E E E E E e E E E E E k k k k e k k k k k k k k k k k k k k k k k k
75. Q14B In your opinion what is the most important factor that would prompt members of your household to use computer communications from a public library or other public place lt 01 gt Cost lt 02 gt Ease of use lt 03 gt Both about the same lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q014A Q15P Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY lt 01 gt Wages and salaries lt 02 gt Income from self employment lt 03 gt Dividends and interest on bonds savings stocks etc lt 04 gt Employment Insurance lt 05 gt Workers Compensation lt 06 gt Benefits from Canada or Quebec Pension Plan lt 07 gt Retirement pensions superannuation and annuities lt 08 gt Old Age Security and Guaranteed Income Supplement lt 09 gt Child Tax Benefit lt 10 gt Provincial or municipal social assistance or welfare lt 11 gt Child Support lt 12 gt Alimony lt 13 gt Other income e g rental scholarships other govt income etc lt 14 gt NONE go to 118 lt 97 gt Don t know lt 98 gt Refused Universe all respondents Q16 What is your best estimate of the total income before taxes and deductions of all household members from all sources in the past 12 months Min 1 Max 999990 lt 999997 gt Don t know lt 999998 gt Refused Note If a
76. R KR KR RRR KR KK RK KR KR KR KR RR KR RR IK KR KR KR RRR KR RRR KR KR RR RK 37 3 5 3 4 3 3 3 0 2 3 95 KR KR KR KR RRR RR RR RK RRR KR KR RK KR RRR KR RRR RR RR KR RRR KR KR RRR KR RRR KR KR RK 3 6 3 4 3 3 B22 2 9 2 32 1 3 100 RK KR KR RR RR RR KR RRR KR KR KR KR RRR KK RR RK RRR KKK KR RRR RRR KR RRR KR RRR KR KR RK 3 55 349 3 1 2 8 2 2 153 125 9 2 8 2 5 w0 1 1 150 2 5 O63 1 8 1 0 200 1 5 0 9 250 1 4 0 8 300 0 7 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER MICRODATA DOCUMENTATION Special Surveys Division 55 HOUSEHOLD INTERNET USE SURVEY 1098 Appr
77. RIE IR RK IE 4 4 4 1 327 3 3 2 8 12 4 12 0 11 5 10 5 8 1 4 7 9 RRA EERE RARER S 3 6 33 2 5 Del 11 7 11 3 10 8 je 2 9 4 4 10 RR RE RE ES 2 9 2 6 Da 159 5 tesa 10 7 1055 9 4 4 2 11 ES 3 2 0 ET keg 0 9 10 6 10 2 9 8 8 9 6 9 4 0 12 LEER RAK KARTES 1 8 15 0 8 0 5 10 1 9 8 9 4 8 6 6 6 3 8 13 RAR ACE AR ACR SR RRR HR RE RE 1 3 1 0 0 7 0 4 0 1 7 9 4 9 0 8 2 6 4 cay i 14 REE TCR EM RRR A RR RS 0 9 0 6 0 3 0 0 9 4 9 0 8 7 Teg BAL 315 15 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 0253 0 0 9 7 9 4 9 1 8 7 8 4 TF 5 9 3 4 16 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 9 9 7 9 4 9 1 8 8 8 5 S25 7 4 3 3 I7 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 6 9 4 9 1 8 8 8 5 8 2 Teg 5 6 3 2 18 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 4 9 1 8 8 8 6 8 3 8 0 TQ 5 4 3 1 19 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 1 8 9 8 6 8 3 8 0 738 7 5 6 8 5 3 3 0 20 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 9 8 6 8 4 8 1 7 8 7 6 7 3 6 6 5 1 3 0 21 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 7 8 4 8 2 7 9 Teh 7 4 ye 6 5 5 0 2 9 22 KKK KK KKK KK KKK KEK KEKE KEKE k k k k k k k k k k 8 5 8 2 8 0 TT 7 5 7 2 6 9 6 3 4 9 2 8 23 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 3 8 1 7 8 7 6 r a 7 0 6 8 6 2 4 8 2 8 24 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk Bet 7 9 7x 7 4 TD 6 9 6 6 65 4 7 QF 25 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 0 7 7 7 5 7 3 7 0 6 8 6 5 5 9 4 6 2 7 30 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk Wet 6 8 6 6 6 4 6 2 5 9 5 4 4 2 2 4 35 kkkkkkkkkkkkkkkkkkkkkkkk
78. UANAHNAAAHAIANWDWDWOODODOORPKRPEFHENNWWHRKRUDA SCOCORPRFPRPRPRFRRENNNNNWWWWWWWW PPP PUUUNUNDNHDHHDAAHAAIAITIINAWADLW Special Surveys Division HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for ONTARIO NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 1 83 3 83 0 82 6 813 hcl 76 9 74 6 72 2 69 8 67 2 64 6 59 0 45 7 26 4 2 58 9 58 4 S75 9 54 4 syne SIL 49 3 47 5 45 7 41 7 Ke 18 6 3 48 1 47 9 47 7 46 9 45 7 44 4 43 1 41 7 40 3 38 8 37 3 34 0 26 4 192 4 41 7 41 5 41 3 40 6 39 6 38 4 36 1 34 9 33 6 32 3 29 55 22 8 5 RR RR SP 36 9 36 3 35 4 34 4 33 4 323 3 31 2 30 1 28 9 26 4 20 4 11 8 6 FERRERIES 3 9 33 7 33 2 325 3 31 4 30 4 295 28 5 27 4 26 4 24 1 8 6 10 8 7 REX RIE BE 31 4 31 2 30 7 29 9 29 1 28 2 27 3 26 4 25 4 24 4 22438 Pd 10 0 8 PEA REA 29 53 29 2 28 7 28 0 27 2 26 4 25 5 24 7 23 8 22 8 20 8 6 1 9 3 g FEKRR ES 2745 26 4 25 6 24 9 24 1 2353 22 4 21 15 Did 532 8 8 10 RRR ICE ER 26 2 26 1 2 25 0 24 3 23 6 22 8 22 1 21553 20 4 8 6 4 4 8 3 eal RAR Ok A 25 50 24 9 24 5 23 29 23 2 22 5 21 8 21 0 20 3 9 5 7 8 3 8 8 0 12 RAR ERS 24 0 23 8 2355 22 8 22 2 21 5 20 8 20 1 9 4 8 6 20 3 2 7 6 13 ERE AS 23 0 22 59 22 75 21 9 21 3 20 7 20 0 9 4 8 6 7 9 6 4 20h Tod 14 SERRE 2255 2 2251 217 2141 20 5 Ta 8 6 8 0 Tad 5 8 2 2 7 0 15 REA 21 4 21 3 21
79. UIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 None 6 023 1 992 194 02 Less than 10 539 177 634 03 At least 10 but less than 25 313 108 430 04 At least 25 but less than 50 237 84 342 05 At least 50 but less than 75 242 78 375 06 At least 75 but less than 90 176 65 140 07 At least 90 but less than 100 115 40 732 08 100 114 39 877 96 Valid skip 30 221 8 882 565 97 Don t know 13 6 099 98 Refused 0 0 99 Not stated 37 12 586 38 030 11 487 973 Coverage Those answering yes to Q03A Special Surveys Division 97 Variable Q06B Position 44 Length 2 In a typical month what share percentage of the household s total time spent using computer communications at home is for employer related business INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 None 5 373 1 760 824 02 Less than 10 985 320 228 03 At least 10 but less than 25 508 173 953 04 At least 25 but less than 50 294 105 383 05 At least 50 but less than 75 246 82 801 06 At least 75 but less than 90 144 55 952 07 At least 90 but less than 100 114 48 764 08 100 82 33 668 96 Valid skip 30 221 8 882 565 97 Don t know 24 9 939 98 Refused 1 1 108 99 Not stated 38 12 788 38 030 11 487 973 Coverage Those answering yes to Q03A 98 Special Surveys Division Variable Q06C Position 46 Length 2 In a typical month what share percentage of the household s total time spent usi
80. Unqualified Qualified Confidential Not Releasable Prairie Provinces 19 000 8 500 18 900 4 500 8 400 under 4 500 0008 2 500 5 900 1 500 2 400 under 1 500 Special Surveys Division 47 10 6 Approximate Sampling Variability Tables for NEWFOUNDLAND AND LABRADOR NUMERATOR OF PERCENTAGE 000 WODIAHNHMPWNPFPOUWODAIAHAUBWNE NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION 48 CV Tables HOUSEHOLD INTERNET USE SURVEY 0 1 1 0 oe 2 0 oe kkkkkkk 42 9 42 7 30 2 KR KR KEKE KER RR KEK 24 7 KOR KR KI KK k k k k k kk k k kk k k KE KOR kK k k k k k k k k k k kk k k kk k k k k KOR KR k k k k k k k k k k k k k k kk k k k k KOR KR k k k k k k kk k k kk k k kk k k k k KOR KR k k kk k k k k k k kk k k kk k k k k 50 42 29 24 2E 18 Hey gs 14 14 oe 3
81. Within each rural stratum six EAs or two or three groups of EAs are sampled as clusters 5 2 5 ee Dwelling Selection Special Surveys Division 11 In all three types of areas urban rural and remote areas selected clusters are first visited by enumerators in the field and a listing of all private dwellings in the cluster is prepared From the listing a sample of dwellings is then selected The sample yield depends on the type of stratum For example in the urban area frame sample yields are either 6 or 8 dwellings depending on the size of the city In the urban apartment frame each cluster yields 5 dwellings while in the rural areas and EA parts of cities each cluster yields 10 dwellings In all clusters dwellings are sampled systematically This represents the final stage of sampling 9 2 6 M Person Selection Demographic information is obtained for all persons for whom the selected dwelling is the usual place of residence LFS information is obtained for all civilian household members 15 years of age or older Response burden is minimized for the elderly 70 years of age or older by carrying forward their responses for the initial interview to the subsequent five months in the survey 12 Special Surveys Division Labour Force Survey Sample Design 1995 Province EIR ER Intersection 76 4 22 6 1 0 Urban Areas Rural Areas Remote Areas 5 6 70 8 Apartment List Frame Area Frame 0 6 5 0 69 2 0 8
82. YA to Q09C are not equal to 01 or QO9E to Q09K are not equal to 01 mark Q10D as 7 and go to 111 If QO9D 01 or any from QO9A to Q09C 01 or any from QO9E to QO9K 01 go to Q10D Otherwise go to C10E Special Surveys Division 73 Q10D In a typical month what share percentage of the total time using computer communications at home do members of your household use to search for medical or health related information on the internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09D C10E If QO9E 01 and answers in QO9A to Q09D are not equal to 01 or QO9F to Q09K are not equal to 01 mark Q10E as 7 and go to 111 If QO9E 01 or any from QO9A to Q09D 01 or any from Q09F to 01 go to Q10E Otherwise go to C10F Q10E In a typical month what share percentage of the total time using computer communications at home do members of your household use the Internet for formal education or training INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less
83. a 19 7 0 Data Processing hen re 21 7 1 Data Capture 2 7 2 21 7 3 Coding of Open ended Questions 21 7 4 Creation of Derived Variables 21 7 5 Weighting esei roaa a 22 7 6 Suppression of Confidential Information 22 Special Surveys Division 8 0 9 0 10 0 12 0 13 0 Data Quality i sete cd 23 8 1 Response 23 8 2 Survey Errors 24 8 2 1 The Frame 24 8 2 2 Data Collection 25 8 2 3 Data Processing 25 8 2 4 Imputation of Income 25 8 2 5 6 586 26 Guidelines for Tabulation Analysis and Release 29 9 1 Rounding Guidelines 29 9 2 Sample Weighting Guidelines for Tabulation 30 9 2 1 Definitions of types of estimates Categorical vs Quantitative 30 9 2 2 Tabulation of Categorical Estimates 32 9 2 3 Tabulation of Quantitative Estimates 32 9 3 Guidelines for Statistical Analysis 32 9 4 CV Release Guidelines 34 Approximate Sampling Variability Tables 37 10 1 How to use the C V tables for Categorical Estimates enes Sia Sie Sette 38 10 1 1 Examples
84. aS 7 0 6 5 6 0 5 4 4 9 4 3 3 0 0 1 5 8 23 RAK RRA AR AEE ECE IA 179 7 6 Tal 6 6 6 1 5 6 SL 4 5 4 0 2 8 9 9 527 24 RAKES ARK ERICK IE LS 7 2 6 8 6 3 5 8 bus 4 8 4 2 B27 2 5 9 5 5 6 25 REXREEAE KES ERRES aly Aves t 6 9 6 4 6 0 SaS San 4 5 4 0 3 4 202 575 30 15 6 5 4 5 0 4 6 4 1 Sid 3 2 232 1 8 7 50 35 LEK ERA EN AK RR 4 3 3 9 3 5 Bia Da 2 2 1 8 1 3 0 3 8 0 4 6 40 RE ERR A 9 3 0 2 6 2 2 1 9 1 4 1 0 0 6 F T 7 5 4 3 45 RA ARR ER AOR RR ARR Ree RR 2 6 2 2 1 9 wS 1 2 0 8 0 4 0 0 9 4 1 50 RAR RAR CR ER RRR RR 1 9 1 6 1 3 0 9 0 6 0 2 9 9 95 5 8 7 6 7 3 9 95 RAE REE ERR EE 1 4 1 1 0 8 0 4 0 1 9 8 9 4 9 0 8 3 6 4 3 7 60 AAR ES RES BAK AREA ERS 0 9 0 6 0 3 0 0 S T 9 3 9 0 8 7 7 9 6 91 3 5 65 EA AREA KARA 5 O62 9 6 9 0 8 7 83 3 7 6 Tra 3 4 70 EA REICE SEERA AE RR RIK ERR OI 9 8 95 3 9 0 8 7 8 3 8 0 We Bal B43 75 SEA EES AAS AN RRA LE RR RE De 9 5 9 2 8 9 8 7 8 4 8 1 Heal 7 1 595 e p 80 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 9 2 8 9 B7 8 4 8 1 7 8 7 5 6 8 5 3 Srl 85 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 9 8 7 8 4 8 1 7 9 7 6 6 6 5 1 3 0 90 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 7 8 4 8 2 7 9 7 6 7 4 6 5 5 0 2 9 95 KKK KKK KKK KKK KKK KEK k k k k k k k k k k k k k k k 8 4 8 2 7 9 FT 7 4 E 2 6 9 6 3 4 9 28 100 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 8 2 8 0 FF 7 5 F2 7 0 6 7 6 1 4 7 Qh 13315 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 7 3 TST 6 9
85. al 2259 85 KR KKK RRR RRR KR KR RRR KR RRR KR KEK 8 8 8 6 8 3 8 1 7 8 7 6 7 3 7 0 6 4 5 0 2 9 90 KR KK KR KR RRR RK KR RRR RRR KR KKK 8 6 8 3 8 1 7 9 7 6 7 4 7 1 6 8 6 2 4 8 2 8 95 KR KKK RRR KKK KR RRR KR KR KK EK 8 3 8 1 7 9 7 7 7 4 7 2 6 9 6 6 6 0 4 7 27 100 RAK ERE LE REE KIL IE SEK RK KS 8 1 Teg 7 7 TS 7 2 7 0 6 7 6 5 5a 4 6 2 6 125 Ta 1 6 9 6 7 6 5 6 2 6 0 5 8 533 4 1 2 4 150 ERE RR ACER EK RARE ES 6 6 63 5 6 3 6s A Bad 5 55 Layee 4 8 BaT 262 200 RE SeT 5 6 5 4 53 SoL 4 9 4 8 4 6 4 2 3 2 1 9 250 KR KKK KR KR RRR KR RRR KR KKK KK KERR RRR KEKE 5 0 4 9 4 7 4 6 4 4 4 3 As 3 7 2 9 Li 300 4 6 4 4 4 3 4 2 4 0 3 9 3 7 3 4 2 6 1 5 350 KR KR KKK KK RRR KR KR KR KR KKK KK KERR KERR EK 4 2 4 1 4 0 3 9 3 7 346 3 5 3 2 2 4 1 4 400 KR KR KKK KR RK RRR KR KR KKK KR KERR RRR REE 4 0 3 8 3 6 3 5 3 4 332 2 9 1 3 450 3 6 3 5 3 4 3 3 349 3 0 2 8 2 2 id 500 3 4 3 3 3 2 DoT 3 0 2 9 2 0 750 RK KR KR KR RR RR RRR KR RRR KR KR RRR KR KR RR KR KR RRR KR RRR KK KR RK KR KR RK enuf 9 56 2 5 Dik ect 1 0 1000 RR KR KR RRR KR KR RRR KR KR KR KR KR RRR KK RR KR KR KR RRR KR KR KER KR RRR RK 3 2 1 2 0 1 9 1 4 0 8 1500
86. anadian households both at home the workplace and a number of other locations Frequency and intensity questions were asked for the use from home Special Surveys Division 5 4 0 Concepts and Definitions This chapter outlines concepts and definitions of interest the users Users are referred to Chapter 12 of this document for a copy of the actual survey questions used Computer communications Computer communications refers to the use of a computer connected to a communications network for things like electronic banking E mail and going on the Internet Information Highway The Information Highway is a term used to describe the vast amount of information that is accessible to people through computers This information is readily available by accessing the Internet This is also referred to as connectedness Internet The Internet connects computers to the global network of networks for electronic mail services file transfer and information search and retrieval Surfing Browsing the Internet Surfing or browsing the Internet is a commonly used phrase which refers to the activity of a computer user who enters into the global network with a modem to search for and or retrieve information on various topics For the purpose of this survey time spent surfing the net is considered computer communication E Mail Electronic Mail is a service allowing the transmission of files or tex
87. ances for simple estimates such as totals proportions and ratios for qualitative variables are provided in the accompanying Sampling Variability Tables For other analysis techniques for example linear regression logistic regression and analysis of variance a method exists which can make the variances calculated by the standard packages more meaningful by incorporating the unequal probabilities of selection The method rescales the weights so that there is an average weight of 1 For example suppose that analysis of all male respondents is required The steps to rescale the weights are as follows select all respondents from the file who reported SEX male Calculate the AVERAGE weight for these records by summing the original person weights from the microdata file for these records and then dividing by the number of respondents who reported SEX male for each of these respondents calculate a RESCALED weight equal to the original person weight divided by the AVERAGE weight perform the analysis for these respondents using the RESCALED weight However because the stratification and clustering of the sample s design are still not taken into account the variance estimates calculated in this way are likely to be under estimates The calculation of truly meaningful variance estimates requires detailed knowledge of the design of the survey Such detail cannot be given in this microdata file because of confidentiality Variances
88. are in turn under the supervision of the LFS program managers located in each of the six Statistics Canada regional offices 6 3 M Non Response to the LFS Interviewers are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households For individuals who at first refuse to participate in the LFS a letter is sent from the Regional Office to the dwelling address stressing the importance of the survey and the household s cooperation This is followed by a second call or visit from the interviewer For cases in which the timing of the interviewer s call or visit is inconvenient an appointment is arranged to call back at a more convenient time For cases in which there is no one home numerous call backs are made Under no circumstances are sampled dwellings replaced by other dwellings for reasons of non response Each month after all attempts to obtain interviews have been made a small number of non responding households remain For households non responding to the LFS and for which LFS information was obtained in the previous month this information is brought forward and used as the current month s LFS information No supplementary survey information is collected for these households 6 4 E Data Collection Modifications for Household Internet Use Survey Information for the HIUS was obtained from a knowledgable household member Upon completion of the Labour Force Survey interview the inte
89. ariable Q10H Position 92 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household spend use to do general browsing on the world wide web INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 1 809 604 779 02 At least 10 but less than 25 1 829 602 042 03 At least 25 but less than 50 1 253 412 276 04 At least 50 but less than 75 748 234 264 05 At least 75 but less than 90 289 97 650 06 At least 90 but less than 100 127 40 878 07 100 49 15 161 96 Valid skip 31 823 9 445 524 97 Don t know 39 11 586 98 Refused 4 2 319 99 Not stated 60 21 497 38 030 11 487 975 Coverage Those answering 01 to Special Surveys Division 115 Variable Position 94 Length 2 In a typical month what share percentage of the total time using computer communications at home do members of your household spend playing games on the Internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 Less than 10 1 312 430 385 02 At least 10 but less than 25 753 252 135 03 At least 25 but less than 50 387 119 966 04 At least 50 but less than 75 175 53 751 05 At least 75 but less than 90 65 20 444 06 At least 90 but less than 100 19 5 630 07 100 8 1 872 96 Valid skip 35 236 10 580 300 97 Don t know 19 4 68
90. arning or correspondance courses lt 02 gt To research information for project assignments or for solving academic related problems lt 03 gt To communicate with teachers and peers lt 04 gt For other reasons not mentioned lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09E C10A If QO9A 01 and QO9B to QO9K are not equal to 01 mark Q10A as 7 and go to 111 If QO9A 01 and any from to Q09K 01 go to Q10A Otherwise go to C10B Q10A In a typical month what share percentage of the total time using computer communications at home do members of your household use on E mail INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q08 or 01 to Q09A C10B If Q08 01 or Q09B 01 and or Q09C to Q09K are not equal to 01 mark Q10B as 7 and go to 111 If Q08 01 or Q09B and any of or Q09C to 01 go to Q10B Otherwise go to C10C 72 Special Surveys Division Q10B In a typical month what share percentage of the total time using computer communicat
91. as a non response Note that 28 records were treated this way Since the data was collected using a CAI instrument data quality before processing was very high Very few changes were made to the data during editing If trying to follow paths of the questionnaire that have been established when processing the data it is important to note that 90 records had answers of no to both Q02A and Q02B about members of the household 18 years old or older and less than 18 using computer communication These were skipped to Q12 do you have a computer 3 2 4 M Imputation of income In order to reduce response burden the HIUS collected information on household income for all five rotation groups The HIUS asked for a best Special Surveys Division 25 numerical estimate of household income and failing that asked for the best categorical estimate among 11 possible categories ranging from 5 000 to 100 000 If an estimate was not given but personal income information was available personal income was used as household income provided there was only one adult in the household and all children if any were under the age of 13 otherwise income was coded as missing Households in the HIUS for which income was coded as missing were linked to the Canadian Travel Survey CTS an LFS supplement conducted in October 1998 The CTS asked for the best estimate of household income among five broad categories ranging from 20 000 to 80 000 If
92. ated involved a lack of information in questions which should have been answered For this type of error a non response or not stated code was assigned to the item 7 3 Coding of Open ended Questions No data items on the questionnaire were recorded by interviewers in an open ended format 7 4 65 Creation of Derived Variables A number of data items on the microdata file have been derived by combining items on the questionnaire in order to facilitate data analysis CMA for example is actually a combination of Census Metropolitan Area CMA and Census Agglomeration CA The CAs have been recoded to 0 while the CMAs remain the same The income quartile variable was also constructed from income information collected during the interview and from information collected for the Survey of Volunteering Giving and Caring and the Canadian Travel Survey conducted on the same sample Imputation was used to create income for records that Special Surveys Division 21 had that information missing see section 8 2 4 on imputation of income for more details on the method that was used 7 5 M Weighting The principle behind estimation in a probability sample such as the LFS is that each person in the sample represents besides himself or herself several other persons not in the sample For example in a simp
93. ber of persons contributing to the quantitative estimate If the corresponding category estimate is not releasable the quantitative estimate will not be either For example in an absence from work survey the coefficient of variation of the total number of weeks absent from work would be greater than the coefficient of variation of the corresponding proportion of paid workers with an absence Hence if the coefficient of variation of the proportion is not releasable then the coefficient of variation of the corresponding quantitative estimate will also not be releasable Coefficients of variation of such estimates can be derived as required for a specific estimate using a technique known as pseudo replication This involves dividing the records on the microdata files into subgroups or replicates and determining the variation in the estimate from replicate to replicate Users wishing to derive coefficients of variation for quantitative estimates may contact Statistics Canada for advice on the allocation of records to appropriate replicates and the formulae to be used in these calculations 46 Special Surveys Division 10 5 Release cut offs for the Household Internet Use Survey The minimum size of the estimate at the provincial regional and Canada levels are specified in the table below Estimates smaller than the minimum size given in the Not Releasable column may not be released under any circumstances HIUS Table of Release Cut offs
94. bers or your household use the Internet INTERVEWER READ THE LIST AND MARK ALL THAT APPLY Distance education self directed learning or correspondance courses FREQ WTD 1 Yes 502 167 915 2 No 1 770 606 909 6 Valid skip 35 715 10 697 825 7 Don t know 3 1 191 8 Refused 0 0 9 Not stated 40 14 134 38 030 11 487 973 Coverage Those answering 01 to QO9E Variable 09 02 Position 75 Length 1 For what specific educational purposes do members or your household use the Internet INTERVEWER READ THE LIST AND MARK ALL THAT research information for project assignments or for solving academic related problems Yes No Valid skip Don t know Refused Not stated OONDN Coverage Those answering 01 to QO9E FREQ 1 885 387 35 715 WTD 644 974 129 849 10 697 825 1 191 0 14 134 11 487 972 106 Special Surveys Division Variable QO9LP03 Position 76 Length 1 For what specific educational purposes do members or your household use the Internet INTERVEWER READ THE LIST AND MARK ALL THAT APPLY To communicate with teachers and peers FREQ WTD 1 Yes 576 190 721 2 No 1 696 584 102 6 Valid skip 35 715 10 697 825 7 Don t know 3 1 191 8 Refused 0 0 9 Not stated 40 14 134 38 030 11 487 973 Coverage Those answering 01 to QO9E Variable QO9LP04 Position 77 Length 1 For what specific educational purposes do members or your household use the Internet INTERVEWER READ THE LIST AND MAR
95. ccurring systematically will contribute to biases in the survey estimates Considerable time and effort was made to reduce non sampling errors in the survey Quality assurance measures were implemented at each step of the data collection and processing cycle to monitor the quality of the data These measures included the use of highly skilled interviewers extensive training of interviewers with respect to the survey procedures and questionnaire observation of interviewers to detect problems of questionnaire design or misunderstanding of instructions procedures to ensure that data capture errors were minimized and coding and edit quality checks to verify the processing logic 26 Special Surveys Division A major source of non sampling errors in surveys is the effect of non response on the survey results The extent of non response varies from partial non response failure to answer just one or some questions to total non response Total non response occurred because the interviewer was either unable to contact the respondent no member of the household was able to provide the information or the respondent refused to participate in the survey Total non response was handled by adjusting the weight of households who responded to the survey to compensate for those who did not respond In most cases partial non response to the survey occurred when the respondent did not understand or misinterpreted a question refused to answer a question or cou
96. cial Surveys Division 77 Q11A How would your household s use of computer communications at home in a typical month increase if the cost were much lower READ CATEGORIES TO RESPONDENT lt 01 gt Substantially 025 Noticeably lt 03 gt Little or nothing lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A Q11B How would your household s use of computer communications at home in a typical month increase if more and better services were available e g for shopping banking etc READ CATEGORIES TO RESPONDENT lt 01 gt Substantially lt 02 gt Noticeably lt 03 gt Little or nothing lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A Q11C How would your household s use of computer communications at home in a typical month increase if access were easier AN EXAMPLE OF EASIER ACCESS COULD BE USING THE TV SCREEN AND REMOTE CONTROL READ CATEGORIES TO RESPONDENT lt 01 gt Substantially 025 Noticeably lt 03 gt Little or nothing lt 97 gt Don t know lt 98 gt Refused Default Next Question Q15 Universe Those answering yes to Q03A Q12 Do you have a computer at home lt 01 gt Yes lt 02 gt NO Nns aea go to Q13B lt 97 gt DONE KNOW Gide egal go to Q13B lt 98 gt go to Q13B Universe Those not answering yes to or or 78 Special Surveys Division Q13AP Wha
97. college or university where they are studying lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those with positive responses in Q01B Q03D In a typical month do any members of your household use computer communications at a public library lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those with positive responses in Q01B Special Surveys Division 65 Q03E In a typical month do any members of your household use computer communications at a location that we have not yet mentioned lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those with positive responses in Q01B C04 If QO3A yes go to 104 Otherwise go to Q12 104 My remaining questions are only about using computer communications AT HOME and they refer to all members of the household as a group Q04 How often do members of your household use computer communications at home in a typical month lt 01 gt At least 7 times per week lt 02 gt At least 4 times per month lt 03 gt 1 to 3 times per month lt 04 gt Less than once per month lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A Q05 What is the total amount of time members of your household spend on computer communications at home in a typical month lt 01 gt Less than 1 hour lt 02 gt At least 1 hour but less than 5 lt 03 gt At least 5 hours bu
98. ds which have never used computer communications and have a computer at home from Example 2 section 10 1 1 would be calculated as follows 44 X t dy Ch Cly Ck 16 3 or expressed as a proportion 0 163 2 2 3 023 expressed as a proportion is the coefficient of variation of this estimate as determined from the tables 0 163 2 0 163 0 023 163 2 0 163 0 023 0 163 0 007 0 163 0 007 0 156 0 170 Special Surveys Division With 95 confidence it can be said that between 15 6 and 17 of households which have never used computer communications reported that they have a computer at home 10 3 Ee a Se ee ee How to use the CV tables to do a t test Standard errors may also be used to perform hypothesis testing a procedure for distinguishing between population parameters using sample estimates The sample estimates can be numbers averages percentages ratios etc Tests may be performed at various levels of significance where a level of significance is the probability of concluding that the characteristics are different when in fact they are identical Let X and X be sample estimates for 2 characteristics of interest Let the standard error on the difference X X be 0g a a f 7 ig between 2 and 2 then no conclusion about the difference between the characteristics is justified at the 5 level of significance If however this ratio is smaller than 2 or lar
99. ehold members aged 18 or more Same as for LFS Universe All Special Surveys Division 83 13 0 Record Layout and Univariates aaa Record Layout Household Internet Use Survey 1098 Variable SEQID Position 1 Length 5 Record Sequence ID Allowed Min 00001 Allowed Max 38030 Coverage All respondents Variable FAMTYPE Position 6 Length 1 Identifying multi family households one person households single family households without unmarried children under the age of 18 and single family household with unmarried children under the age of 18 FREQ WTD 1 Single family hhid with unmarried children lt 18 13 052 3 911 079 2 Single family hhid without unmarried children lt 18 14 404 4 232 240 3 One person households 9 076 2 835 047 4 Multi family households 1 498 509 608 6 Valid skip 0 0 9 Not stated 0 0 38 030 11 487 973 Note Derived variable It is derived from different variables from the LFS file like FAMID HHSIZE ages of children and their marital status and then merged with the HIUS file by realukey Special Surveys Division 85 Variable UNDER18 Position 7 Length 1 Any children less than 18 in the household FREQ 1 No children under the age of 18 24 694 2 Yes children under the age of 18 13 336 6 Valid skip 0 9 Not stated 0 38 030 Coverage All respondents Note This variable is merged from the LFS file by Realukey Variable PROV Position 8 Length 2 Prov of the respondent FREQ 10 Newfoundland
100. eholds in Ontario reported that one or more members of their household use computer at home for E mail in a typical month The user is interested in comparing the estimate of Quebec households versus that of Ontario households in the form of a ratio How does the user determine the coefficient of variation of this estimate 42 1 2 3 First of all this estimate is a ratio estimate where the numerator of the estimate X is the number of households in Quebec which reported that one or more members of their household use computer at home for E mail in a typical month The denominator of the estimate X is the number of households in Ontario which reported that one or more members of their household use computer at home for E mail in a typical month Refer to the tables for QUEBEC and ONTARIO The numerator of this ratio estimate is 372 141 The figure closest to it is 400 000 The coefficient of variation for this estimate is found by referring to the first non asterisk entry on that row in the QUEBEC table namely 4 1 The denominator of this ratio estimate is 910 323 The figure closest to it is 1 000 000 The coefficient of variation for this estimate is found by referring to the first non asterisk entry on that row in the ONTARIO table namely 2 3 Special Surveys Division 5 So the approximate coefficient of variation of the ratio estimate is given by rule 4 which is where a and a are the coefficie
101. eighted survey not a person weighted survey Also further adjustments are made to the LFS weights in order to derive a final weight for the individual records on the HIUS microdata file 1 An adjustment to account for the use of a five sixths sub sample instead of the full LFS sample 2 An adjustment to account for the additional non response to the supplementary survey i e non response to the HIUS for individuals who did respond to the LFS or for which previous month s LFS data was brought forward 3 Areadjustment to account for independent province stratum projections after the above adjustments are made These province stratum totals are simply the final weighted province stratum totals from the LFS Note that a stratum roughly corresponds to an EIR ER region described in section 5 2 2 Special Surveys Division 61 Adjustments 1 and 2 are taken into account by multiplying the LFS sub weight for each responding HIUS record by sum of LFS subweights from each household responding to LFS sum of LFS subweights from each household responding to the RTSS to obtain a non response adjusted HIUS sub weight WEIGHT 1 Adjustment 3 is calculated by multiplying WEIGHT1 for each HIUS respondent by population total for province stratum i sum of WEIGHT for survey respondents in province stratum i give the resulting weight FINWT which is the final weight which appears on the HIUS microdata file Cal
102. ength 2 WTD 1 102 413 1 252 548 9 115 512 4 307 263 11 487 972 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to access the Internet for formal education or training FREQ 01 Yes 2 275 02 4 849 96 Valid skip 30 866 97 Don t know 3 98 Refused 0 99 Not stated 37 38 030 Coverage Those answering yes to Q07 102 WTD 776 014 1 582 313 9 115 512 1 204 11 487 973 Special Surveys Division Variable QO9F Position 62 Length 2 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to look for government information on the Internet FREQ 01 Yes 2 827 02 No 4 279 96 Valid skip 30 866 97 Don t know 21 98 Refused 0 99 Not stated 37 38 030 Coverage Those answering yes to Q07 Variable Q09G Position 64 Length 2 WTD 943 138 1 409 831 9 115 512 6 563 11 487 973 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to look for other specific information on the Internet FREQ 01 Yes 5 417 02 No 1 700 96 Valid skip 30 866 97 Don t know 9 98 Refused 0 99 Not stated 38 38 030 Coverage Those answering yes to Q07 Special Surveys Division WTD 1 760 316 596 009 9 115 512 2 902 11 487 974 103 Variable Q09H Position 66 Length 2 INA TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME for general browsing on the Internet FREQ 01 Yes 6 159 02 No 957 96 Valid skip 30
103. erse All answering yes to Q01A c02 Determine age of household members from the LFS If there are no household members under the age of 18 ANYLT18 02 go to 103 Otherwise go to Q02A Do any of the household members aged 18 and over use computer communications in a typical month lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe All with children under 18 answering yes to Q01B Q02B Do any of the household members aged under 18 use computer communications in a typical month lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe All with children under 18 answering yes to Q01B c03 If neither Q02A and Q02B are equal to yes go to Q12 64 Special Surveys Division 103 Now would like to ask you about the places from which members of your household use computer communications e mail Internet etc Q03A In a typical month do any members of your household use computer communications at home lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those with positive responses in Q01B Q03B In a typical month do any members of your household use computer communications at work lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those with positive responses in Q01B Q03C In a typical month do any members of your household use computer communications at school
104. es to Q03A co6c If Q06B 8 go to Q07 Special Surveys Division 67 QO06C In a typical month what share percentage of the household s total time spent using computer communications at home is for personal non business use INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt None lt 02 gt Less than 10 lt 03 gt At least 10 but less than 25 lt 04 gt At least 25 but less than 50 lt 05 gt At least 50 but less than 75 lt 06 gt At least 75 but less than 90 lt 07 gt At least 90 but less than 100 lt 08 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A Q07 In a typical month does any member of your household use the Internet from home which includes E Mail and other services on the world wide web lt 01 gt VES SEN e we go to Q09A lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A Q08 In a typical month does any member of your household use a computer at home for electronic banking lt 01 gt VOS 2594445 go to 0108 lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Default Next Question 111 Universe Those not answering yes to Q07 68 Special Surveys Division Q09A In a typical month does any member of your household use a computer at home for E Mail lt 01 gt Yes lt 02 gt No lt 97 gt Don t
105. ger than 2 the observed difference is significant at the 0 05 level That is to say that the characteristics are significant 10 3 1 Example of using the CV tables to do at test Let us suppose we wish to test at a 5 level of significance the hypothesis that there is no difference between the proportion of households in Quebec which reported that one or more members of their household use computer at home for E mail in a typical month and the proportion of households in Ontario which reported that one or more members of their household use computer at home for E mail in a typical month From example 3 section 10 1 1 the standard error of the difference between these two estimates was found to be 0 0072 Hence 2 _ 0 126 0 215 _ _ 0 089 oj 0 0072 0 0072 12 4 Special Surveys Division 45 Since t 12 9 is less than 2 it must be concluded that there is a significant difference between the two estimates at the 0 05 level of significance 10 4 er ne ee Coefficients of Variation for Quantitative Estimates For quantitative estimates special tables would have to be produced to determine their sampling error Since all of the variables for the HIUS are primarily categorical in nature this has not been done As a general rule however the coefficient of variation of a quantitative total will be larger than the coefficient of variation of the corresponding category estimate i e the estimate of the num
106. he past twelve months INTERVIEWER MARK ALL THAT APPLY Income from self employment FREQ WTD 1 Yes 6 796 2 014 102 2 No 30 355 9 202 251 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents Special Surveys Division 127 Variable Q15P03 Position 125 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Dividends and interest on bonds savings stocks etc FREQ WTD 1 Yes 5 238 1 621 482 2 No 31 913 9 594 871 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents Variable Q15P04 Position 126 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Employment Insurance FREQ WTD 1 Yes 3 376 762 742 2 No 33 775 10 453 610 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 972 Coverage all respondents 128 Special Surveys Division Variable Q15P05 Position 127 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Worke
107. ibration Estimation Adjustments The weights for each respondent were adjusted in Adjustment 3 by an iterative process using a calibrated estimation procedure This procedure ensured that estimates produced for a province stratum group would agree with the population totals for that province stratum group This adjustment was made by using a two stage iterative weighting procedure each time using the weight obtained from the previous step until the set of estimates agreed with the LFS population totals which were created using Census population projections The final statistical weight can be found in the WEIGHT field on the microdata file Note that this field has a decimal and should be read as 99999V9999 where V represents the location of the decimal place 62 Special Surveys Division 12 0 Questionnaires and Code Sheets The HIUS questionnaire was used in October 1998 to collect the information for the supplementary survey 101A This is a voluntary survey about the use of computers by members of your household to communicate with other computers Universe All respondents 101B By communicate mean using a computer connected to a communications network for things like electronic banking E mail and going on the Internet 101C INTERVIEWER RECORD THE STATUS OF THE INTERVIEW IF THE RESPONDENT REFUSES TO CONTINUE AFTER THE INTERVIEW HAS BEEN STARTED PRESS F10 TO EXIT lt
108. ic use microdata files usually do not contain any geographic identifiers below the provincial level However since the HIUS is a household based survey the variables CMA and urban rural will be on the microdata file 22 Special Surveys Division 8 0 Data Quality 8 1 Response Rates The following table summarizes the response rates to the Labour Force Survey and to the HIUS in October 1998 Household Household Household response response rate for response rate for rate to Household full LFS 10 98 LFS rotations Internet Use Survey 1 2 3 5 6 2 a and Labrador Island British Columbia 95 1 95 9 85 2 CANADA 96 0 96 6 86 6 1 Response rate is number of responding households as a percentage of number of eligible households 2 Response rate is number of households responding to the Household Internet Use Survey as a percentage of number of households responding to LFS in rotations sampled Special Surveys Division 23 3 2 M Survey Errors The estimates derived from this survey are based on a sample of households Somewhat different figures might have been obtained if a complete census had been taken using the same questionnaire interviewers supervisors processing methods etc as those actually used The difference between the estimates obtained from the sample and the results from a complete count taken under similar conditions is called the sampling error of the estimate Errors which
109. ich one or more members have used a computer at home for E mail are examples of such estimates An estimate of the number of households possessing a certain characteristic may also be referred to as an estimate of an aggregate Examples of Categorical Questions Q How often do members of your household use computer communications at home in a typical month R At least 7 times per week at least 4 times per month etc Q In 1996 what was your total annual family income before taxes and deductions R Less than 5 000 5 000 to 10 000 and so on Quantitative Estimates Quantitative estimates are estimates of totals or of means medians and other measures of central tendency of quantities based upon some or all of the members of the surveyed population They also specifically involve estimates of the form X Y where X is an estimate of surveyed population quantity total and Y is an estimate of the number of persons in the surveyed population contributing to that total quantity Note that there were no true quantitative questions in the HIUS application An example of a quantitative estimate is the average number of weeks for which unemployment insurance was collected for absences due to illness taken from an unemployment survey The numerator is an estimate of the total number of weeks for which unemployment insurance was collected for all persons experiencing an absence due to illness and its denominator is the number of persons re
110. ich the surveyed unit is located Population figures used to classify this variable were obtained from the 1996 Census and apply to the 1996 population covered by the Labour Force Survey within 1996 Census boundaries to conform with the sample design Only selected CMA s are coded FREQ WTD 00 Not Applicable 25 577 5 003 161 01 Halifax 601 135 389 02 Qu bec 578 287 264 03 Montr al 1 501 1 425 427 04 Ottawa Ontario portion of Ottawa Hull 680 310 700 05 Toronto 1 981 1 645 007 06 Kitchener W aterloo 643 151 720 07 Hamilton 556 254 591 08 St Catherines Niagara 553 142 367 09 London 571 158 583 10 Windsor 464 117 438 11 Winnipeg 1 278 269 149 12 Calgary 667 341 639 13 Edmonton 784 340 435 14 Vancouver 1 163 776 208 15 Victoria 433 128 895 96 Valid skip 0 0 99 Not stated 0 0 38 030 11 487 973 Coverage all respondents Note This variable is merged from the LFS file and is called CMATAB Matched with the respondent through realukey and line number 88 Special Surveys Division Variable HLFSSTAT Position 15 Length 1 What is the LFS status of the Head of Household FREQ WTD 1 Employed at work 22 277 6 960 898 2 Employed absent from work 1 353 386 041 3 Unemployed temporary layoff 148 36 349 4 Unemployed job searcher 1 504 459 449 5 Unemployed future start 43 10 902 6 Not in the Labour force able to work 11 120 3 228 551 7 Not in Labour force permanently unable to work 1 434 372 626 9 Out of scope 151 33 155 38 030 11
111. information on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09H IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME for general browsing on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 70 Special Surveys Division 09 A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to play games on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09J IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to participate in chat groups on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09K IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to access any other Internet services that have not yet been mentioned lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 co9L 01 go to QO9L Otherwise go to C10A Special Surveys Division 71 QO9LP For what specific educational purposes do members or your household use the Internet INTERVEWER READ THE LIST AND MARK ALL THAT APPLY lt 01 gt Distance education self directed le
112. io K1A OTG 613 951 5882 Internet jonathan ellison statcan ca Special Surveys Division 1 2 0 Background The Household Internet Use Survey HIUS was conducted by Statistics Canada on behalf of Industry Canada The information from this survey will assist the Science Innovation and Electronic Information Division at Statistics Canada fulfill a three year contractual agreement between them and the Telecommunications and Policy Branch of Industry Canada The survey provides information on the use of computers for communication purposes and households access and use of the Internet from home The information collected will be used to update and expand upon previous studies done by Statistics Canada on the topic of household connectedness Special Surveys Division 3 3 0 Objectives aT The main objectives of this survey were to measure the demand for computer communication services by Canadian households identify the types of computer communication services that are used at home determine the reasons why some households are not using computer communication and determine what factors would influence households to start using computer communication or to use it more In assessing the demand we measured the frequency and intensity of use of what is commonly referred to as the information highway among other things This was done by asking questions relating to the accessibility of the Internet by C
113. ions at home do members of your household do electronic banking INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q08 or 01 to Q09B C10C If QO9C 01 and QOYA to QOYB are not equal 01 or QO9D to Q09K are not equal to 01 mark Q10C as 7 and go to 111 If QO9C 01 and any from to QO9B 01 or any from QO9D to Q09K 01 go to Q10C If Q08 01 go to 111 Otherwise go to C10D Q10C In a typical month what share percentage of the total time using computer communications at home do members of your household use to purchase goods and services on the world wide web INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENTNEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09C C10D If Q09D 01 and QO
114. k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k CWRPRUNHDAITWORPWUATONANAKFAWORPNEANWOWNONANAOUONUUNOHEFAH N ARP WAHAIWDOORPNWUHADARPWAIKPNBUHDTORPNAPHOKRPKRYIRPHDRPAIUNUDWAN NA 160 1 PP PUUHHIOO 0 0 AW Special Surveys Division HOUSEHOLD INTERNET USE SURVEY 1098 Approximate Sampling Variability Tables for NEW BRUNSWICK NUMERATOR OF ESTIMATED PERCENTAGE PERCENTAGE 000 0 1 1 0 2 0 5 0 10 0 15 0 20 0 25 0 30 0 35 0 40 0 50 0 70 0 90 0 3 41 7 41 5 40 9 39 8 38 7 3693 35 1 33 8 32 5 29 6 23 0 13 3 2 EAR RICE RS 2905 29 3 28 9 28001 233 26 5 25 oh 24 8 235 9 23 0 21 0 16 2 9 4 3 SERA EARS ER REE 24 0 23 6 23 0 22 3 21 6 21 0 20 3 19 5 18 7 17 3 13 5 AP 4 CAREER AAS ER AS 20 8 20 4 9 9 9 3 Sa 8 2 PS 16 9 16 2 14 8 11 5 6 6 5 RR RAR ICR ERC RC 18 6 8 3 7 8 6 8 6 2 15 67 Hoe i 14 5 1333 1053 6 RAIA ERICK IRE RRR TR RE 6 7 6 2 5 8 4 8 14 3 13 8 13 3 1251 9 4 5 4 7 RAK EE RAKE RK ER RK KE 5 4 50 4 6 4 2 E 133 12 8 12 38 1192 8 7 5 0 8 EE
115. kkkkkkkkkkkkk A 7 9 7 6 7 4 ay eee 6 9 6 6 6 0 4 7 2 7 23 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 7 9 7 5 7 2 7 0 6 7 6 5 5 9 4 6 2 6 24 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 7 7 7 5 Fj TL 6 8 6 6 6 3 5 8 4 5 2 6 25 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 7 6 7 4 ee 6 9 6 7 6 5 6 2 5 7 4 4 25 30 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 6 9 6 7 6 5 6 3 6 1 5 9 5 7 5 2 4 0 2 3 35 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 6 4 6 2 6 0 5 9 5 7 5 5 5 2 4 8 3 7 1 40 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 5 8 5 7 5 5 5 3 5 1 4 9 4 5 3 5 2 0 45 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 5 5 5 3 5 2 5 0 4 8 4 6 4 2 3 3 15 9 50 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 5 2 5 1 4 9 4 7 4 6 4 4 4 0 1 8 55 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 5 0 4 8 4 7 4 5 4 3 4 2 3 8 3 0 1 7 60 KR KR KR KR RR RRR KR RRR KR KR RR KR KR RRR KR RRR RK 4 6 4 5 4 3 4 2 4 0 E 2 8 1 6 65 4 4 4 3 4 2 4 0 3 8 3 5 2 7 1 6 70 KR KR KR KR RRR RR KR RRR KR KR KR KR RRR KR RR RK RRR KK RRR KR RRR RK 4 3 4 1 4 0 3 9 3 7 3 4 2 6 1 5 75 HR KR KR KR KR RR KR RK KR RRR KR KR KR KR RRR KR KR RRR KR RRR KR KK RR KR RRR KEK 4 1 4 0 3 9 3 7 3 6 3 3 2 5 1 5 80 RK KR KR RR RR RR KK RRR KR KKK KK KR KR RRR KK ERK RRR KR KR RRR KR KR RR KR RRR RK 3 9 7 3 6 3 5 3 2 2 5 1 4 85 RR KR KR RR KR RR RK RRR KR RR RK KR KKK RRR KK RR KR KR RK KR RR KK KR RK RRR RK 3 8 3 6 3 5 3 4 3 1 2 4 1 4 90 RR KR KR RR R
116. kkkkkkkkkkkkkkkxk 6 5 6 3 6 1 5 9 5 7 5 5 5 0 3 9 2 22 40 kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk 6 1 5 9 5 7 5 5 5 3 5 21 4 7 3 6 2 1 45 KR KR KR KR KR RK KR RRR KR RRR KR KR KR KR RRR KR RRR KR RRR KR KK RR KK KR RK 5 6 5 4 5 2 5 0 4 8 4 4 3 4 2 0 50 KK RRR KK RK KR RRR RRR KK RRR RRR KK RRR KR KR KR KR KR RK RRR RK 5 3 5 1 5 0 4 8 4 6 4 2 3 2 1 9 55 5 1 4 9 4 7 4 6 4 4 4 0 3 1 1 8 60 RK KR RR RRR RR KR RR RK KR RR KR RRR KR RRR KR KR RRR KR RRR KR KR RRR KR RRR KR KR RK 4 7 4 5 4 4 4 2 3 8 3 0 ToT 65 RK RRR KR RR RR RR KK RRR KR KKK KK KR KR RRR KR RR KR KR RK KR RR RK RRR KR RRR RK 4 5 4 4 4 2 4 0 3 3 2 8 1 6 70 RR RR RR RR KR RR KR RRR KR KKK KR KR KR RRR KR KR RRR RRR KR KR RRR KR RR RK RRR K 4 3 4 2 4 0 3 9 3 5 2 7 1 6 75 RK RR KR RR RR RR RR RRR KR KR KK RK RRR KR RR KR KR RRR KK RRR KR RRR RRR KR RR KR KR RRR KR RK 4 1 3 9 3 7 3 4 2 7 5 80 RK RK KR RR RR RR KR RRR KR KR KR RRR KR RR KK RRR KR KR RK KR KKK RRR KR RRR KR KR RRR KR RK 3 9 3 8 3 6 3 3 2 6 1 5 85 3 5 3 9 2 5 1 4 90 3 4 30 2 4 Tea 95
117. know lt 98 gt Refused Universe Those answering yes to Q07 Q09B IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME for Electronic banking lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09C IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to purchase goods and services on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09D IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to search for medical or health related information on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Special Surveys Division 69 QO9E IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to access the Internet for formal education or training lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09F IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to look for government information on the Internet lt 01 gt Yes lt 02 gt No lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q07 Q09G IN A TYPICAL MONTH DOES ANY MEMBER OF YOUR HOUSEHOLD USE A COMPUTER AT HOME to look for other specific
118. ld not recall the requested information Item non response was very low for the HIUS Most questions had non response rates which were less than 01 Since it is an unavoidable fact that estimates from a sample survey are subject to sampling error sound statistical practice calls for researchers to provide users with some indication of the magnitude of this sampling error This section of the documentation outlines the measures of sampling error which Statistics Canada commonly uses and which it urges users producing estimates from this microdata file to use also The basis for measuring the potential size of sampling errors is the standard error of the estimates derived from survey results However because of the large variety of estimates that can be produced from a survey the standard error of an estimate is usually expressed relative to the estimate to which it pertains This resulting measure known as the coefficient of variation CV of an estimate is obtained by dividing the standard error of the estimate by the estimate itself and is expressed as a percentage of the estimate For example suppose that based upon the survey results one estimates that 54 3 of Canadian households had never used computer communications from home work school or any other location in October 1998 and this estimate is found to have a standard error of 00380 Then the coefficient of variation of the estimate is calculated as 0 00380 x 100
119. le random 2 sample of the population each person in the sample represents 50 persons in the population The same principle also applies to households The weighting phase is a step which calculates for each record what this number is This weight appears on the microdata file and must be used to derive meaningful estimates from the survey For example if the number of households typically using computer communication from home is to be estimated it is done by selecting the records referring to those households in the sample with that characteristic and summing the weights entered on those records Details of the method used to calculate these weights are presented in Chapter 11 7 6 Suppression of Confidential Information It should be noted that the Public Use microdata files described above differ in a number of important respects from the survey master files held by Statistics Canada These differences are the result of actions taken to protect the anonymity of individual survey respondents Users requiring access to information excluded from the microdata files may purchase custom tabulations Estimates generated will be released to the user subject to meeting the guidelines for analysis and release outlined in Section 9 of this document Province Suppression of Geographic Identifiers The survey master data file includes explicit geographic identifiers for province urban rural and Census Metropolitan Area The survey publ
120. ly 102 000 civilians aged 15 or over 5 4 M Sample Rotation The LFS employs a panel design whereby the entire monthly sample of dwellings consists of 6 panels or rotation groups of approximately equal size Each of these panels is by itself representative of the entire LFS population All dwellings in a rotation group remain in the LFS sample for 6 consecutive months after which time they are replaced rotated out of the sample by a new panel of dwellings selected from the same or similar clusters This rotation pattern was adopted to minimize any problems of non response or respondent burden that would occur if households were to remain in the sample for longer than 6 months It also has the statistical advantage of providing a common sample base for short term month to month comparisons of LFS characteristics since five of the six rotation groups in the LFS sample are common from month to month Because of the rotation group feature it is possible to readily conduct supplementary surveys using the LFS design but employing less than the full size sample 14 Special Surveys Division 5 5 M Modifications to the L F S design for the Supplement The HIUS used five of the six rotation groups in the October 1998 LFS sample For the HIUS the coverage of the LFS was set at the household level Unlike the LFS where information is collected for all eligible household members the HIUS only collected information from one household member
121. member if the number of observations on which an estimate is based is less than 30 the weighted estimate should not be released regardless of the value of the coefficient of variation for this estimate This is because the formulas used for estimating the variance do not hold true for small sample sizes 10 1 S How to use the C V tables for Categorical Estimates The following rules should enable the user to determine the approximate coefficients of variation from the Sampling Variability Tables for estimates of the number proportion or percentage of the surveyed population possessing a certain characteristic and for ratios and differences between such estimates Rule 1 Estimates of Numbers Possessing a Characteristic Aggregates The coefficient of variation depends only on the size of the estimate itself On the Sampling Variability Table for the appropriate geographic area locate the estimated number in the left most column of the table headed Numerator of Percentage and follow the asterisks if any across to the first figure encountered This figure is the approximate coefficient of variation Rule 2 Estimates of Proportions or Percentages Possessing a Characteristic The coefficient of variation of an estimated proportion or percentage depends on both the size of the proportion or percentage and the size of the total upon which the proportion or percentage is based Estimated proportions or percentages are relatively more
122. members of their household use computer at home for E mail in a typical month while 910 323 4 231 569 21 5 of households in Ontario reported that one or more members of their household use computer at home for E mail in a typical month How does the user determine the coefficient of variation of the difference between these two estimates 1 2 Special Surveys Division Using the QUEBEC and ONTARIO table in the same manner as described in example 1 gives the CV of the estimate for households in Quebec as 4 1 and the CV of the estimate for households in Ontario as 2 3 Using rule 3 the standard error of a difference d X X is 2 A 2 Xa where X is estimate 1 X is estimate 2 and a and a are the coefficients of variation of X and X respectively 41 Example 4 3 4 That is the standard error of the difference d 126 0 215 0 089 is y 0 126 0 041 0 215 0 023 y 0 0000280 0 0000245 0 0072 The coefficient of variation of is given by 0 0072 0 089 0 081 So the approximate coefficient of variation of the difference between the estimates is 8 1 This estimate is publishable with no qualifications Estimates of Ratios Suppose that the user estimates that 372 141 households in Quebec reported that one or more members of their household use computer at home for E mail in a typical month while 910 323 hous
123. mount is entered go to 118 Universe respondent who answered Q15P14 01 or Q15 ne 14 80 Special Surveys Division Q17A Can you estimate in which of the following groups your total household income falls lt 01 gt Less than 20 000 02 20 000 and more go to Q17E lt 97 gt DON TKNOW eo eset eee te Be a go to 118 lt 98 gt RGMUSEd wees Wee a wed 4 go to 118 Universe Those answering Don t know or Refused to Q16 Q17B CAN YOU ESTIMATE IN WHICH OF THE FOLLOWING GROUPS YOUR TOTAL HOUSEHOLD INCOME FALLS lt 01 gt Less than 10 000 lt 02 gt 10 000 and more go to Q17D lt 97 gt DON EKHMOW weed ples go to 118 lt 98 gt Refused 205 8 24 CS teh ES bee OSes go to 118 Universe Those answering 01 to Q17A Q17C Can you estimate in which of the following groups your total Household income falls lt 01 gt Less than 5 000 lt 02 gt 5 000 and more lt 97 gt Don t know lt 98 gt Refused Default Next Question 118 Universe Those answering 01 to Q17B Q17D Can you estimate in which of the following groups your total Household income falls lt 01 gt Less than 15 000 lt 02 gt 15 000 and more lt 97 gt Don t know lt 98 gt Refused Default Next Question 118 Universe Those answering 02 to Q17B Special Surveys Division 81 Q17E Can you estimate in which of the following groups your total Hou
124. ng computer communications at home is for personal non business use INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING FREQ WTD 01 None 316 114 411 02 Less than 10 96 570 201 650 03 At least 10 but less than 25 692 242 029 04 At least 25 but less than 50 589 213 303 05 At least 50 but less than 75 710 251 981 06 At least 75 but less than 90 673 212 953 07 At least 90 but less than 100 1 225 400 865 08 100 2 977 946 517 96 Valid skip 30 221 8 882 565 97 Don t know 17 7 491 98 Refused 1 1 108 99 Not stated 39 13 099 38 030 11 487 972 Coverage Those answering yes to Q03A Variable Q07 Position 48 In a typical month does any member of your household use the Internet from home which includes E Mail and other services on the world wide web FREQ WTD 01 Yes 7 130 2 361 194 02 No 625 222 683 96 Valid skip 30 221 8 882 565 97 Don t know 14 8 165 98 Refused 0 0 99 Not stated 40 13 366 38 030 11 487 973 Coverage __ sThose answering yes toQO03A 0 Special Surveys Division 99 Variable Q08 Position 50 Length 2 In a typical month does any member of your household use a computer at home for electronic banking Coverage Variable Q09A Position 52 FREQ Yes 108 No 524 Valid skip 37 351 Don t know 7 Refused 0 Not stated 40 38 030 Those not answering yes to Q07 Length 2 WTD 39 904 185 834 11 243 759 5 109 0 13 366 1
125. nted by 1 b Marginal sub totals and totals in statistical tables are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units using normal rounding c Averages proportions rates and percentages are to be computed from unrounded components i e numerators and or denominators and then are to be rounded themselves to one decimal using normal rounding In normal rounding to a single digit if the final or only digit to be dropped is 0 to 4 the last digit to be retained is not Special Surveys Division 29 changed If the first or only digit to be dropped is 5 to 9 the last digit to be retained is increased by 1 d Sums and differences of aggregates or ratios are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units or the nearest one decimal using normal rounding e In instances where due to technical or other limitations a rounding technique other than normal rounding is used resulting in estimates to be published or otherwise released which differ from corresponding estimates published by Statistics Canada users are urged to note the reason for such differences in the publication or release document s f Under no circumstances are unrounded estimates to be published or otherwise released by users Unrounded estimates imply greater precision than actually exists 9 2 M Sample Weighting
126. nts of variation of X and X respectively That is 041 023 0 047 The obtained ratio of Quebec versus Ontario households which reported that one or more members of their household use computer at home for E mail in a typical month is 372 141 910 323 which is 0 41 1 The coefficient of variation of this estimate is 4 7 which is releasable with no qualifications 10 2 ea ee e a How to use the CV tables to obtain Confidence Limits Although coefficients of variation are widely used a more intuitively meaningful measure of sampling error is the confidence interval of an estimate A confidence interval constitutes a statement on the level of confidence that the true value for the population lies within a specified range of values For example a 95 confidence interval can be described as follows If sampling of the population is repeated indefinitely each sample leading to a new confidence interval for an estimate then in 95 of the samples the interval will cover the true population value Using the standard error of an estimate confidence intervals for estimates may be obtained under the assumption that under repeated sampling of the population the various estimates obtained for a population characteristic are normally distributed about the true population value Under this assumption the chances are about 68 out of 100 that the difference between a sample estimate and the true population value would be le
127. on t know 4 1 865 98 Refused 0 0 99 Not stated 36 12 176 38 030 11 487 971 Coverage Those with positive responses in Q01B Special Surveys Division 95 Variable Q04 Position 38 Length 2 How often do members of your household use computer communications at home in a typical month FREQ WTD 01 At least 7 times per week 4 914 1 613 347 02 At least 4 times per month 2 469 859 105 03 1 to 3 times per month 331 102 810 04 Less than once per month 51 15 669 96 Valid skip 30 221 8 882 565 97 Don t know 9 3 105 98 Refused 1 104 99 Not stated 34 11 268 38 030 11 487 972 Coverage Those answering yes to Q03A Variable Q05 Position 40 Length 2 What is the total amount of time members of your household spend on computer communications at home in a typical month FREQ WTD 01 Less than 1 hour 390 134 651 02 At least 1 hour but less than 5 1 249 405 567 03 At least 5 hours but less than 10 1 200 404 834 04 At least 10 hours but less than 20 1 505 498 151 05 20 hours or more 3 402 1 138 918 96 Valid skip 30 221 8 882 565 97 Don t know 28 10 910 98 Refused 1 1 108 99 Not stated 34 11 268 38 030 11 487 972 Coverage Those answering yes to Q03A 96 Special Surveys Division Variable Q06A Position 42 Length 2 In a typical month what share percentage of the household s total time spent using computer communications at home is for self employed business INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A G
128. oximate Sampling Variability Tables for ALBERTA NUMERATOR OF PERCENTAGE 000 o NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER MICRODATA DOCUMENTATION 56 0 1 1 0 72 5 72 1 kkkkkkk k 51 0 kkkkkkk 41 6 kkkkkkk 36 1 kkkkkkk k 32 3 kkkkkkkk 29 4 kkkkkkk 27 3 kkkkkkk 25 5 kkkkkkk 24 0 kkkkkkk 22 8 EEEEEE EEE EEEE EEE EEEE E EEEE EEEE EEE EEEEEEE EEEE EEEE E EEE EEE EEE EEE EEEE EEEEEEE EEEE EEEE E EEE EEEE EEEE EEEE EEEE EEEE EEEE EEEE EEEE E EEEE EEEE EEE T5 5 9 5 0 IOP 1 oe UNWOUOFPRPATRPRPOAONATRPAIANODFPWWHONMAHWAOA OPRPNFRFPKBUUUANAHAIIABAAWLM 0 ole
129. port last absence due to pregnancy To obtain a weighted average of the form X Y the numerator X is calculated as for a quantitative estimate and the denominator Y is calculated as for a categorical estimate For example to estimate the average number of weeks El was received by people whose last absence was due to pregnancy a estimate the total number of weeks as described above b estimate the number of people in this category by summing the final weights of all records which report last absence due to pregnancy then c divide estimate a by estimate b 95 M Guidelines for Statistical Analysis The HIUS is based upon a complex sample design with stratification multiple stages of selection and unequal probabilities of selection of respondents Using data from such complex surveys presents problems to analysts because the survey design and the selection probabilities affect the 32 Special Surveys Division estimation and variance calculation procedures that should be used In order for survey estimates and analyses to be free from bias the survey weights must be used While many analysis procedures found in statistical packages allow weights to be used the meaning or definition of the weight in these procedures differ from that which is appropriate in a sample survey framework with the result that while in many cases the estimates produced by the packages are correct the variances that are calculated are poor Vari
130. porting an absence due to illness Examples of Quantitative Questions Q How many consecutive weeks was this last absence R _ Weeks Q How many separate periods of 2 or more weeks were you unable to work due to your own illness accident or pregnancy R Periods Special Surveys Division 31 9 2 2 ee Tabulation of Categorical Estimates Estimates of the number of people with a certain characteristic can be obtained from the microdata file by summing the final weights of all records possessing the characteristic s of interest Proportions and ratios of the form X Y are obtained by a summing the final weights of records having the characteristic of interest for the numerator X b summing the final weights of records having the characteristic of interest for the denominator Y then c dividing the numerator estimate by the denominator estimate 9 2 3 ee Tabulation of Quantitative Estimates Estimates of quantities can be obtained from the microdata file by multiplying the value of the variable of interest by the final weight for each record then summing this quantity over all records of interest For example using an unemployment survey to obtain an estimate of the total number of weeks of employment insurance received by people whose last absence was due to pregnancy multiply the value reported for weeks received by the final weight for the record then sum this value over all records which re
131. rs Compensation FREQ WTD 1 Yes 733 197 291 2 No 36 418 11 019 061 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 972 Coverage all respondents Variable Q15P06 Position 128 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Benefits from Canada or Quebec Pension Plan FREQ WTD 1 Yes 8 046 2 282 893 2 No 29 105 8 933 460 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents Special Surveys Division 129 Variable Q15P07 Position 129 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Retirement pensions superannuation and annuities FREQ WTD 1 Yes 6 196 1 825 992 2 No 30 955 9 390 361 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents Variable Q15P08 Position 130 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Old Age Security and Guaranteed Income Supplement FREQ WTD 1 Yes 6 939 1 905 304 2 No
132. rviewer introduced the HIUS and proceeded with the interview with the respondent s permission 18 Special Surveys Division The HIUS was programmed to appear on the list of surveys to be completed on the notebook computer after the demographic component for the LFS had been completed Any HIUS component not completed at the time the LFS was transmitted to one of the Statistics Canada regional offices was left incomplete and transmitted with the LFS 65 Non Response to the Household Internet Use Survey For households responding to the LFS the next stage of data collection was to administer the HIUS In total 43 692 households were eligible for the supplementary survey the HIUS interview was completed for 38 030 of these households for a response rate of 87 0 More detailed information on response rates is presented in Chapter 8 Data Quality Special Surveys Division 19 7 0 Data Processing a The main output of the HIUS is a clean microdata file This section presents a brief summary of the processing steps involved in producing this file 7 Data Capture Capture of survey data was done directly on notebook computers by interviewers at the time of collection A partly edited version of the computer record was electronically transmitted to Ottawa for further processing In total 38 166 interviews were captured and transmitted for the survey Editing The type of error tre
133. ry strata and further stratification is carried out within them see section 5 2 3 Note that a third set of regions Census Metropolitan Areas CMAs is also respected by stratification in the current LFS design since each CMA is also an EIER 5 2 2 M Types of Areas The primary strata ER EIER intersections are further disaggregated into 3 types of areas rural urban and remote areas Urban and rural areas are loosely based on the Census definitions of urban and rural with some exceptions to allow for the formation of strata in some areas Urban areas include the largest CMAs down to the smallest villages categorized by the 1991 Census as urban 1000 people or more while rural areas are made up of areas not designated as urban or remote All urban areas are further subdivided into two types those using an apartment list frame and an area frame as well as those using only an area frame Approximately 1 of the LFS population is found in remote areas of provinces which are less accessible to LFS interviewers than other areas For administrative purposes this portion of the population is sampled separately through the remote area frame Some populations not congregated in places of 25 or more people are excluded from the sampling frame 5 2 3 M Secondary Stratification In urban areas with sufficiently large numbers of apartment buildings the strata are subdivided into apartment frames and area frames The apartment list frame
134. sehold income falls lt 01 gt Less than 40 000 lt 02 gt 40 000 amp more 2 435 sis gins wie ners go to Q17G lt 97 gt 2 2 go to 118 lt 98 gt Refused s r go to 118 Universe Those answering 02 to Q17A Q17F Can you estimate in which of the following groups your total Household income falls lt 01 gt Less than 30 000 lt 02 gt 30 000 amp more lt 97 gt Don t know lt 98 gt Refused Default Next Question 118 Universe Those answering 01 to Q17E Q17G Can you estimate in which of the following groups your total Household income falls lt 01 gt Less than 50 00 lt 02 gt 50 000 to less than 60 000 lt 03 gt 60 000 to less than 80 000 lt 04 gt 80 000 to less than 100 000 lt 05 gt 100 000 and more lt 97 gt Don t know lt 98 gt Refused 01 Universe Those answering 02 to Q17E 118 Thank you for your cooperation Universe All 82 Special Surveys Division Q19 INTERVIEWER WHO PROVIDED THE INFORMATION FOR THE INTERVIEW 012 Number 1 person in the hhlid lt 02 gt Number 2 person in the hhlid lt 03 gt Number 3 person in the hhid lt 04 gt Number 4 person in the hhlid lt 05 gt Number 5 person in the hhlid 062 Number 6 person in the lt 07 gt Number 7 person in the lt 08 gt Number 8 person in the 4 lt 97 gt Don t know lt 98 gt Refused lt 99 gt Not stated Note Display the list of hous
135. ss than one standard error about 95 out of 100 that the difference would be less than two standard errors and about 99 out of 100 that the differences would be less than three standard errors These different degrees of confidence are referred to as the confidence levels Special Surveys Division 43 Confidence intervals for an estimate X are generally expressed as two numbers one below the estimate and one above the estimate as k Xtk where k is determined depending upon the level of confidence desired and the sampling error of the estimate Confidence intervals for an estimate can be calculated directly from the Approximate Sampling Variability Tables by first determining from the appropriate table the coefficient of variation of the estimate X and then using the following formula to convert to a confidence interval Cl 10 2 1 where top tXay is the determined coefficient of variation of x and 1 if a 68 confidence interval is desired 1 6 if a 90 confidence interval is desired 2 if a 95 confidence interval is desired 3 if a 99 confidence interval is desired e e WoW ot al Release guidelines which apply to the estimate also apply to the confidence interval For example if the estimate is not releasable then the confidence interval is not releasable either Example of using the CV tables to obtain confidence limits A 95 confidence interval for the estimated proportion of househol
136. t are the main reasons why your household does not use your home computer for communication services INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY 015 it costs too much lt 02 gt it is too complex lt 03 gt you do use them at work lt 04 gt you do use them at another location lt 05 gt it does not offer enough useful services lt 06 gt other reasons lt 97 gt Don t know lt 98 gt Refused Default Next Question Q14A Universe Those answering yes to Q12 Q13BP What would induce your household to start using computer communication services at home INTERVIEWER READ THE LIST AND MARK ALL THOSE THAT APPLY lt 01 gt the cost was much lower lt 02 gt they could be easily accessed through the television using remote control lt 03 gt more and better services were offered more shopping banking etc lt 04 gt nothing would induce you lt 05 gt other reasons lt 97 gt Don t know lt 98 gt Refused Universe Those answering no don t know or refused to Q12 Q14A Would members of the household use computer communications from a public library or other public place if they were easily and cheaply available at those places lt 01 gt Yes lt 02 gt Nonini go to Q15 lt 97 gt ued Peed Otel go to Q15 lt 98 gt Refused dns tans ae go to Q15 Universe Those answering no to Q01A or Q01B or Q03A Special Surveys Division 79
137. t less than 10 lt 04 gt At least 10 hours but less than 20 lt 05 gt 20 hours or more lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A 66 Special Surveys Division Q06A In a typical month what share percentage of the household s total time spent using computer communications at home is for self employed business INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt None lt 02 gt Less than 10 lt 03 gt At least 10 but less than 25 lt 04 gt At least 25 but less than 50 lt 05 gt At least 50 but less than 75 lt 06 gt At least 75 but less than 90 lt 07 gt At least 90 but less than 100 lt 08 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering yes to Q03A C06B If QO6A 8 go to Q07 Q06B In a typical month what share percentage of the household s total time spent using computer communications at home is for employer related business INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt None lt 02 gt Less than 10 96 lt 03 gt At least 10 but less than 25 lt 04 gt At least 25 but less than 50 lt 05 gt At least 50 but less than 75 lt 06 gt At least 75 but less than 90 lt 07 gt At least 90 but less than 100 lt 08 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering y
138. t messages between two or more computer stations Typical month Typical month refers to a month that is not out of the ordinary for the household Typical month is always in relation to a certain period of time usually in the past year The period of time to be used for defining a typical month was left for the respondent to determine Special Surveys Division 7 5 0 Survey Methodology The HIUS was administered in October 1998 to a sub sample of the dwellings in the Labour Force Survey LFS sample and therefore its sample design is closely tied to that of the LFS The LFS design is briefly described in Sections 5 1 to 5 4 Sections 5 5 and 5 6 describe how the HIUS departed from the basic LFS design in October 1998 50 Population Coverage The LFS is a monthly household survey whose sample of individuals is representative of the civilian non institutionalized population 15 years of age or older in Canada s ten provinces Specifically excluded from the survey s coverage are residents of the Yukon and Northwest Territories persons living on Indian Reserves full time members of the Canadian Armed Forces and inmates of institutions These groups together represent an exclusion of approximately 2 of the population aged 15 or over 5 2 M Sample Design The LFS has undergone an extensive redesign culminating in the introduction of a new design at the end of 1994 The LFS sample is based upon a stratified multi stage
139. than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09E C10F If Q09F 01 and to are not equal to 01 or Q09G to Q09K are not equal to 01 mark Q10F as 7 and go to 111 If QO9F 01 or any from QO9A to QO9E 01 or any from Q09G to Q09K 01 go to Q10F Otherwise go to C10G 74 Special Surveys Division Q10F In a typical month what share percentage of the total time using computer communications at home do members of your household spend looking for government information on the world wide web INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09F C10G If Q09G 01 and to are not equal to 01 or QO9H to are not equal to 01 mark Q10G as 7 and go to 111 If QO9G 01 and any from to QO9F 01 or any from
140. that take the complete sample design into account can be calculated for many statistics by Statistics Canada on a cost recovery basis 9 4 M CV Release Guidelines Before releasing and or publishing any estimate from the Residential HIUS users should first determine the quality level of the estimate The quality Special Surveys Division 33 levels are acceptable marginal and unacceptable Data quality is affected by both sampling and non sampling errors as discussed in section 8 However for this purpose the quality level of an estimate will be determined only on the basis of sampling error as reflected by the coefficient of variation as shown in the table below Nonetheless users should be sure to read section 8 to be more fully aware of the quality characteristics of these data First the number of respondents who contribute to the calculation of the estimate should be determined If this number is less than 30 the weighted estimate should be considered to be of unacceptable quality For weighted estimates based on sample sizes of 30 or more users should determine the coefficient of variation of the estimate and follow the guidelines below These quality level guidelines should be applied to weighted rounded estimates All estimates can be considered releasable However those of marginal or unacceptable quality level must be accompanied by a warning to caution subsequent users 34 Special Surveys Division Quality Level G
141. uality each month in the LFS 24 Special Surveys Division 38 2 2 M Data Collection Interviewer training consisted of reading the HIUS Procedures Manual practising with the HIUS training cases on the laptop computer and discussing any questions with senior interviewers before the start of the survey A description of the background and objectives of the survey was provided as well as a glossary of terms and a set of questions and answers Interviewers collected HIUS information at the same time that LFS information was collected The collection period ran from October 20 29 1998 3 2 3 M Data Processing During processing of the data 33 HIUS records did not match to corresponding records in the LFS Thus they were coded as out of scope and were dropped from further processing When supplementary survey records do not match to host survey records they must be dropped since a weight cannot be derived for them Conversely 559 records in the LFS were found that should have matched to an HIUS record but did not These records were coded as in scope since they were eligible records from the frame which for one reason or another did not have corresponding HIUS records These records were considered to be non responding records and were used in the weighting process to adjust for non response Data processing of the HIUS was straightforward Any record that contained a refusal or don t know in the first question 01 was coded
142. uidelines Quality Level of Estimate 1 Acceptable 2 Marginal 3 Unacceptable Special Surveys Division Estimates have a sample size of 30 or more and low coefficients of variation in the range 0 0 16 5 No warning is required Estimates have a sample size of 30 or more and high coefficients of variation in the range 16 6 33 3 Estimates should be flagged with the letter M or some similar identifier They should be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimates Estimates have a sample size of less than 30 or very high coefficients of variation in excess of 33 3 Statistics Canada recommends not to release estimates of unacceptable quality However if the user chooses to do so then estimates should be flagged with the letter U or some similar identifier and the following warning should accompany the estimates The user is advised that specify the data do not meet Statistics Canada s quality standards for this statistical program Conclusions based on these data will be unreliable and most likely invalid These data and any consequent findings should not be published If the user chooses to publish these data or findings then this disclaimer must be published with the data 35 10 0 Approximate Sampling Variability Tables aaa ee In order to supply coefficients of variation which would be applicable to a
143. uppose that the user estimates that 1 016 760 6 233 170 16 3 of households which have never used computer communications reported that they have a computer at home How does the user determine the coefficient of variation of this estimate 1 Refer to the table for CANADA 40 Special Surveys Division 2 3 Example 3 Because the estimate is a percentage which is based on a subset of the total population i e households which have never used computer communications it is necessary to use both the percentage 16 3 and the numerator portion of the percentage 1 016 760 in determining the coefficient of variation The numerator 1 016 760 does not appear in the left hand column the Numerator of Percentage column so it is necessary to use the figure closet to it namely 1 000 000 Similarly the percentage estimate does not appear as any of the column headings so it is necessary to use the figure closest to it 15 0 The figure at the intersection of the row and column used namely 2 3 is the coefficient of variation to be used So the approximate coefficient of variation of the estimate is 2 3 The finding that 16 3 of households which have never used computer communications have a computer at home can be published with no qualifications Estimates of Differences Between Aggregates or Percentages Suppose that a user estimates that 372 141 2 959 571 12 6 of households in Quebec reported that one or more
144. ur household participate in chat groups on the Internet INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09J C10K If QO9K 01 and to Q09J are not equal to 01 mark Q10K as 7 and go to 111 If Q09K 01 and any from to Q09J 01 go to Q10K Otherwise go to 111 Q10K In a typical month what share percentage of the total time using computer communications at home do members of your household spend using the Internet for things we have not mentioned INTERVIEWER DON T READ THE ANSWER CATEGORIES USE THEM AS A GUIDE IF THE RESPONDENT NEEDS PROMPTING lt 01 gt Less than 10 lt 02 gt At least 10 but less than 25 lt 03 gt At least 25 but less than 50 lt 04 gt At least 50 but less than 75 lt 05 gt At least 75 but less than 90 lt 06 gt At least 90 but less than 100 lt 07 gt 100 lt 97 gt Don t know lt 98 gt Refused Universe Those answering 01 to Q09K 111 Now I would like to ask you about things that might cause your household to increase its use of computer communications at home Spe
145. use computer communications from a public library or other public place if they were easily and cheaply available at those places FREQ WTD 01 Yes 7 933 2 304 484 02 No 22 131 6 526 268 96 Valid skip 7 775 2 594 140 97 Don t know 182 60 830 98 Refused 9 2 252 99 Not stated 0 0 38 030 11 487 973 Coverage Those answering no to Q01A or Q01B or Q03A Variable Q14B Position 121 Length 2 In your opinion what is the most important factor that would prompt members of your household to use computer communications from a public library or other public place FREQ WTD 01 Cost 1 205 347 592 02 Ease of use 1 446 442 616 03 Both about the same 5 242 1 500 682 96 Valid skip 29 906 9 120 407 97 Don t know 39 13 282 98 Refused 1 311 99 Not stated 191 63 083 38 030 11 487 972 Coverage Those answering yes to Q014A 126 Special Surveys Division Variable Q15P01 Position 123 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in the past twelve months INTERVIEWER MARK ALL THAT APPLY Wages and salaries FREQ WTD 1 Yes 25 048 7 691 056 2 No 12 103 3 525 297 6 Valid skip 0 0 7 Don t know 268 91 232 8 Refused 575 167 230 9 Not stated 36 13 158 38 030 11 487 973 Coverage all respondents Variable Q15P02 Position 124 Length 1 Thinking about your total household income from which of the following sources did your household receive any income in t
146. verstate the error if X and X are positively correlated and understate the error if X and X are negatively correlated Special Surveys Division 39 Rule 5 Estimates of Differences of Ratios In this case Rules 3 and 4 are combined The CV s for the two ratios are first determined using Rule 4 and then the CV of their difference is found using Rule 3 10 1 1 ee ee Examples of using the C V tables for Categorical Estimates The following real life examples are included to assist users in applying the foregoing rules Example 1 Estimates of Numbers Possessing a Characteristic Aggregates Suppose that a user estimates that 6 233 170 households have never used computer communications How does the user determine the coefficient of variation of this estimate 1 Refer to the CV table for CANADA 2 The estimated aggregate 6 233 170 does not appear in the left hand column the Numerator of Percentage column so it is necessary to use the figure closest to it namely 6 000 000 3 The coefficient of variation for an estimated aggregate is found by referring to the first non asterisk entry on that row namely 0 6 4 So the approximate coefficient of variation of the estimate is 0 6 The finding that there are 6 233 170 households which have never used computer communications is publishable with no qualifications Example 2 Estimates of Proportions or Percentages Possessing a Characteristic S
147. y Tables for ATLANTIC NUMERATOR OF PERCENTAGE 000 NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER MICRODATA DOCUMENTATION 58 0 1 1 0 oe N oe kkkkkkk k 42 30 24 kkkkkkk 21 kkkkkkk k 19 kkkkkkk nly ae kkkkkkk 16 kkkkkkk 15 IW Ow N BR H EEE EEEE EEEE EEEE EEE EEEE EEEE EEEE EEEE E EEEE EEEE EEE EEEEEE EEE EEEE EEE EEE EE EEEE EEE EEEE EEEEEEE EEEE EEEE E EEE EEEE EEEE EEEE E EEEE E EEEE EEEE EEE WICRAWUOUNRFPRPRRPWHAH CORPRPRPNNWHEUDHA 6 HNDWDONFHANONUANAKFAIWOWDWOFRFAONTSO YAN DWDDWADWDWUUWUWUOWOODOORPKRPNNWHBUA oe

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