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Study Information Content
Study TitleNon-institutionalised aged in Sydney, 1981
Primary InvestigatorKendig, H. Gibson, D. Rowland, D.
ADA IDau.edu.anu.ada.ddi.00210
AbstractThis study was designed to test hypotheses and develop population estimates regarding the social integration and social support of non-institutionalised people aged 60 and over living in Sydney. The core of the questionnaire aimed to identify the individuals who were important to respondents in terms of exchanges of instrumental assistance, emotional closeness, social interaction, and family structure: characteristics of these other persons were also recorded. Other variables included basic demographic and personal characteristics; various objective and subjective measures of functional health and illness; responsibility for household tasks; use of health and social services; knowledge of services: attitudes toward dependency and family relationships; use of time; housing and living arrangements; transport; retirement and income; life satisfaction; political views; and care of parents. Questions measured early life experiences, recent changes and current circumstances. Background variables include age; sex; marital status; bithplace; years of schooling; opccupation of self and spouse; religious affiliation; home ownership; and income level.
Production Date (documentation)1983-12-01
Bibliographic CitationKendig, H., et al. Non-institutionalised aged in Sydney, 1981 [computer file]. Canberra: Australian Data Archive, The Australian National University, .
CopyrightCopyright © 2005, Australian National University. All rights reserved.
ContactKendig, H. L. Ageing and the Family Project Research School of Social Sciences Australian National University G.P.O Box 4 Canberra A.C.T. 2601
Contact AffiliationResearch School of Social Sciences, Australian National University
Study Scope Content
Topic ClassificationsAustralian studies;Social classes, Social order;Living standards, Lifestyle
KeywordsAged;Aged care;Family;Health;Health services;Housing;Leisure;Living standards;Pensions;Retirement;Social welfare
Population (Universe)Sydney residents aged 60 and over living in private households
Date of Collection
Start date - Data Collection: 1981-10-01 End date - Data Collection: 1981-10-01
Time Period
Time Period - Start: 1981-10-01 Time Period - End: 1981-10-01
Methodology Content
Sampling Procedurestratified random sample The sample was selected from 30 neighbouring pairs of census collection districts in the urban centre of Sydney, as defined by the 1976 Census. The development of the sample involved two stages - the listing of dwellings in the collection districts and the screening for the age of occupants, of a set of dwellings randomly selected from this list. This sampling was designed to give equal probability of selection to each of the 849,000 private dwellings in Sydney. One respondent per household was interviewed, and the sample was stratified by age to ensure adequate numbers of repondents aged 75+, and respondents with a high rate of dependency (100% selection of those aged 75+ who were the only aged person in the household; 50% of those aged 75+ and living with one or more aged persons; 50% of those aged 65-74; and 25% selection of those aged 60-64).
Data Kindsurvey
Data Access Content
Deposit Information Content
DepositorKendig, H. L. Ageing and the Family Project Research School of Social Sciences Australian National University G.P.O Box 4 Canberra A.C.T. 2601
Deposit Date1983-12-01
Other Content
Mode of Data Collectionpersonal interview Respondents whom the interviewer determined as having difficulty in completing a full schedule, because of physical frailty or communication difficulties, or who were uncooperative, were administered a summary stream of questions limited to essential factual information. In situations where the respondent could not be interviewed personally, even with a summary schedule, because of language difficulties or health problems, a proxy summary interview was attempted with a member of the respondent's immediate family. Summary interviews accounted for 125 out of the 1050 completed interviews, and the average length of a summary interview was 48 minutes. The average duration of a full interview was 90 minutes.
CommentThis study was designed to test hypotheses and develop population estimates regarding the social integration and social support of non-institutionalised people aged 60 and over living in Sydney. The core of the questionnaire aimed to identify the individuals who were important to respondents in terms of exchanges of instrumental assistance, emotional closeness, social interaction, and family structure: characteristics of these other persons were also recorded. Other variables included basic demographic and personal characteristics; various objective and subjective measures of functional health and illness; responsibility for household tasks; use of health and social services; knowledge of services: attitudes toward dependency and family relationships; use of time; housing and living arrangements; transport; retirement and income; life satisfaction; political views; and care of parents. Questions measured early life experiences, recent changes and current circumstances. Background variables include age; sex; marital status; bithplace; years of schooling; opccupation of self and spouse; religious affiliation; home ownership; and income level.
Study Creation Date2011-04-18 17:40:01 UTC
Bibliographic Citation (documentation)Kendig, H., et al. Non-institutionalised aged in Sydney, 1981 [computer file]. Canberra: Australian Data Archive, The Australian National University, .
Copyright (documentation)Copyright © 2005, The Australian National University. All rights reserved.
Producer (documentation)Australian Data Archive
Title (documentation)Non-institutionalised aged in Sydney, 1981
Weightingweighting criteria the use of age and living arrangement to adjust for sample stratification weighting procedures The weighting formula listed in Study Description Appendix 1 uses a recoded version of respondent's age (V335), martial status (V339), age of spouse (V340), summary living arrangement (V1002) and age and location of other members of the respondent's matrix (variables LOC.3 - LOC.17, AGE.3 - AGE.17) to identify cases falling into the ground by which the sample was stratified (see SAMPLING PROCEDURES above). A weighting factor (AGEWT) can then be applied to each case in the file. This weight variable has not been added to each case in the data file, and the data file itself has not been permanently weighted. The following table illustrates the comparison between 1981 Census figures for the Sydney urban centre and the survey figures achieved after this weighting procedures has been applied. Age Survey (weighted) % 1981 Census % 60-64 32.3 31.2 65-69 23.5 26.5 70-74 20.3 19.6 75-79 12.9 12.4 80+ 11.0 10.2 N 1050 421,890 Appendix 1. Weighting formula used to adjust for sample stratification The following series of command statements are those used in an SPSS runstream, using variables described in the codebook and the weighting procedure section of the Study Description. COMPUTE R335=V335 RECODE R335 (60 THRU 64=1) (65 THRU 74=2) (75 THRU 99=3) COMPUTE VAR = 0 COMPUTE NVAR = 0 IF (R335 EQ 3) AND (V1002 GE 2) VAR = 1 IF ((VAR EQ 1) AND (V339 EQ 1 OR 2) AND IF (V340 GE 60) AND (V1002 EQ 2 OR 3)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.3 EQ 0) AND (AGE.3 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.4 EQ 0) AND (AGE.4 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.5 EQ 0) AND (AGE.5 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.6 EQ 0) AND (AGE.6 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.7 EQ 0) AND (AGE.7 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.8 EQ 0) AND (AGE.8 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.9 EQ 0) AND (AGE.9 EQ 6 OR 7) NVAR = 2 IF ((VAR EQ 1) AND (LOC.10 EQ 0) AND (AGE.10 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.11 EQ 0) AND (AGE.11 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.12 EQ 0) AND (AGE.12 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.13 EQ 0) AND (AGE.13 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.14 EQ 0) AND (AGE.14 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.15 EQ 0) AND (AGE.15 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.16 EQ 0) AND (AGE.16 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.17 EQ 0) AND (AGE.17 EQ 6 OR 7)) NVAR = 2 IF (R335 EQ 1) AGEWT = 1.9471488 IF (R335 EQ 2) AGEWT = .9735744 IF ((R335 EQ 3) AND (V1002 EQ 1)) AGEWT = .4867872 IF ((VAR EQ 1) AND (NVAR EQ 0)) AGEWT = .4867872 IF (NVAR EQ 2) AGEWT = .9735744 WEIGHT AGEWT
ADA IDau.edu.anu.ada.ddi.00210
LabelNon-institutionalised aged in Sydney, 1981
Languageen
ADA Processing LevelLevel 2
Production Date2004-08-26
ADA Study LevelLevel 2
Version ResponsibilityAustralian Data Archive
Time Methodcross-sectional (one-time) study
Weightingweighting criteria the use of age and living arrangement to adjust for sample stratification weighting procedures The weighting formula listed in Study Description Appendix 1 uses a recoded version of respondent's age (V335), martial status (V339), age of spouse (V340), summary living arrangement (V1002) and age and location of other members of the respondent's matrix (variables LOC.3 - LOC.17, AGE.3 - AGE.17) to identify cases falling into the ground by which the sample was stratified (see SAMPLING PROCEDURES above). A weighting factor (AGEWT) can then be applied to each case in the file. This weight variable has not been added to each case in the data file, and the data file itself has not been permanently weighted. The following table illustrates the comparison between 1981 Census figures for the Sydney urban centre and the survey figures achieved after this weighting procedures has been applied. Age Survey (weighted) % 1981 Census % 60-64 32.3 31.2 65-69 23.5 26.5 70-74 20.3 19.6 75-79 12.9 12.4 80+ 11.0 10.2 N 1050 421,890 Appendix 1. Weighting formula used to adjust for sample stratification The following series of command statements are those used in an SPSS runstream, using variables described in the codebook and the weighting procedure section of the Study Description. COMPUTE R335=V335 RECODE R335 (60 THRU 64=1) (65 THRU 74=2) (75 THRU 99=3) COMPUTE VAR = 0 COMPUTE NVAR = 0 IF (R335 EQ 3) AND (V1002 GE 2) VAR = 1 IF ((VAR EQ 1) AND (V339 EQ 1 OR 2) AND IF (V340 GE 60) AND (V1002 EQ 2 OR 3)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.3 EQ 0) AND (AGE.3 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.4 EQ 0) AND (AGE.4 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.5 EQ 0) AND (AGE.5 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.6 EQ 0) AND (AGE.6 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.7 EQ 0) AND (AGE.7 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.8 EQ 0) AND (AGE.8 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.9 EQ 0) AND (AGE.9 EQ 6 OR 7) NVAR = 2 IF ((VAR EQ 1) AND (LOC.10 EQ 0) AND (AGE.10 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.11 EQ 0) AND (AGE.11 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.12 EQ 0) AND (AGE.12 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.13 EQ 0) AND (AGE.13 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.14 EQ 0) AND (AGE.14 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.15 EQ 0) AND (AGE.15 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.16 EQ 0) AND (AGE.16 EQ 6 OR 7)) NVAR = 2 IF ((VAR EQ 1) AND (LOC.17 EQ 0) AND (AGE.17 EQ 6 OR 7)) NVAR = 2 IF (R335 EQ 1) AGEWT = 1.9471488 IF (R335 EQ 2) AGEWT = .9735744 IF ((R335 EQ 3) AND (V1002 EQ 1)) AGEWT = .4867872 IF ((VAR EQ 1) AND (NVAR EQ 0)) AGEWT = .4867872 IF (NVAR EQ 2) AGEWT = .9735744 WEIGHT AGEWT
Frequency sends letter-09 Return to 00210   Arrow_up Arrow_down
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v101 3.0 7.0
Misc.
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Study Creation Date: 2011-04-18 17:40:03 UTC
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No. of children residing with 09 Return to 00210   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00210
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Person Number 10 Return to 00210   Arrow_up Arrow_down
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Misc.
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Misc.
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Relationship to respondent-10 Return to 00210   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00210
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residential location-10 Return to 00210   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00210
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sex person no.10 Return to 00210   Arrow_up Arrow_down
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Misc.
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marital status-10 Return to 00210   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00210
Database Study ID: 3258
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Age-10 Return to 00210   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00210
Database Study ID: 3258
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Employment status-10 Return to 00210   Arrow_up Arrow_down
Name Val Range Min Val Range Max
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Misc.
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No. of children residing with 10 Return to 00210   Arrow_up Arrow_down
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Misc.
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Misc.
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Database Study ID: 3258
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Relationship to respondent-11 Return to 00210   Arrow_up Arrow_down
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Misc.
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Database Study ID: 3258
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residential location-11 Return to 00210   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00210
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sex person no.11 Return to 00210   Arrow_up Arrow_down
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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Misc.
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v192
Misc.
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Misc.
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Misc.
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Misc.
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Relationship to respondent-17 Return to 00210   Arrow_up Arrow_down
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Misc.
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Misc.
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sex person no.17 Return to 00210   Arrow_up Arrow_down
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Misc.
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marital status-17 Return to 00210   Arrow_up Arrow_down
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Misc.
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Misc.
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