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Study Information Content
Study TitleSocial Mobility in Australia Project, 1973: File m
Primary InvestigatorBroom, L. Duncan-Jones, P. Lancaster Jones, F. McDonnell, P. Williams, T.
ADA IDau.edu.anu.ada.ddi.00008-m
AbstractThe Social Mobility in Australia Project had three major objectives. Firstly, to replicate the 1965 baseline study of Australian stratification and mobility (refer to ADA Study No. 7). Secondly, to broaden the understanding of social mobility and social stratification in Australia beyond the fairly restricted findings of the 1965 baseline, not only by including more details on family background, education and class images, but also by including women as respondents in their own right. And thirdly, to maximise the possibilities for comparison with both the first and second generations of national surveys in other countries. This survey represents the Male sample. Some of the questions asked included whether the respondent had ever lived on a farm; their job prospects, intentions and preferences; the comparison of their job to other females; perceptions of society, social classes and class ideology; their employment history, together with occupational history details pertaining to the respondent's father and any children aged 21 years and over. Background variables include age, birthplace, birthdate, marital status, home ownership, household structure, income, party preference, religion, trade union membership, job satisfaction, and retirement.
Production Date (documentation)2009-02-18
Bibliographic CitationBroom, L., et al. Social Mobility in Australia Project, 1973. [Computer file]. Canberra: Australian Data Archive, The Australian National University, 2009.
CopyrightCopyright © 1982-2009, The Australian National University. All rights reserved.
ContactProfessor F. Lancaster Jones Department of Sociology Research School of Social Sciences The Australian National University PO Box 4 Canberra ACT 0200
Contact AffiliationDepartment of Sociology, Research School of Social Sciences, The Australian National University
Study Scope Content
Topic ClassificationsAustralian studies;Social classes, Social order;Social and occupational mobility, Social stratification
KeywordsAgriculture;Armed forces;Australia;Education;Family;Job satisfaction;Living standards;Officers;Pensions;Retirement;Social classes;Working conditions
Population (Universe)National sample of men and women aged 30-69 years in private dwellings.
Date of Collection
Start date - Data Collection: 1973-06-01 End date - Data Collection: 1973-06-01
Time Period
Time Period - Start: 1973-06-01 Time Period - End: 1973-06-01
Geographic CoverageNational
Geographic UnitMetropolitan/rural
Methodology Content
Sampling ProcedureStratified random sample The initial sample was drawn in accordance with the general principles of the Current Population Survey (CPS) by the Australian Bureau of Statistics (ABS). In cities, large towns and densely-population rural areas, three-stage selection of Census Collector's Districts' (CCDs) blocks and dwellings within blocks was used. For small towns and less densely-populated rural areas, town or rural local government areas were selected first. Blocks were selected from 4 urban strata and 13 rural strata with probabilities proportional to the population size of the unit concerned at each stage of selection. A variable skip interval was provided for selection of dwellings within blocks which maintained the self-weighting of sample dwellings within strata, and one person was selected at random in each included dwelling. 943 blocks were selected, although in 38 of these no interviews were achieved. The average cluster size of included blocks was 12.4 dwellings and 5.2 interviews. Because a sex composition of approximately two-thirds men, one-third women was required, there were two types of dwelling defined. In an A-type dwelling a person of either sex was eligible for interview if the person was aged 30-69 years. In an M-type dwelling a person of either sex was eligible for interview if the person was aged 30-69 years. In an M-type dwelling only a man aged 30-69 was eligible. Two out of three dwellings included were A-type and one M-type. In Sydney and Melbourne sample selection was modified to include two types of sample, an M-type for men aged 30-69 and a W-type for women aged 30-69. Two out of three dwellings were defined as M-type and the third as W-type. These modifications were made because of difficulties the interviewers were having with the selection procedures. Although this simplified the interviewers tasks, it meant that fewer dwellings had an eligible respondent, resulting in fewer interviews. A booster sample was designed to redress this reduction of metropolitan interviews. All CCDs represented in the sample were ranked by percentage foreign-born who were not British nationals. A first stratum was formed to represent the 'top 20 percent' of CCDs arrayed on this ranking (20 percent of the total metropolitan population, not of the number of blocks). Next, an index of socio-economic status was calculated for all included CCDs on the basis of the standardised logits of proportions of persons not at school or below school age who had completed the two highest levels of secondary education, plus employers in the male workforce, minus labourers in the male workforce (defined as Minor Group 7/8U in the 1971 ABS Classification and Classified List of Occupations, pp. 132-134). CCDs not already included in the 'Aliens' stratum were ranked and grouped into three strata representing the top 20 percent of CCDs (high SES), the middle 55 percent, and the bottom 25 percent. Results of fieldwork up to 10 October 1973 were used to calculate observed and expected distributions of interviews by these four strata. A comparison of these distributions indicated a shortfall in the 'Aliens' stratum, balanced mainly by a surplus in the Middle SES stratum. After exploring a variety of assumptions about likely response rates, blocks were reissued so that blocks in the 'Aliens' stratum were over-represented (of the 60 reissued blocks 20 came from this stratum, compared with an expected 12 if blocks had been selected strictly in proportion to total population). Middle SES, and to a lesser degree high and low SES, blocks were under represented. An average of six new addresses was reissued in each of these blocks.
Data Kindsurvey
Data Access Content
Deposit Information Content
DepositorProfessor F. Lancaster Jones Department of Sociology Research School of Social Sciences The Australian National University P.O. Box 4 Canberra, ACT 0200
Deposit Date1982-01-28
VersionVersion 3. 17 February, 2009
Other Content
Unit of AnalysisIndividual
Mode of Data Collectionpersonal interview
CommentThe Social Mobility in Australia Project had three major objectives. Firstly, to replicate the 1965 baseline study of Australian stratification and mobility (refer to ADA Study No. 7). Secondly, to broaden the understanding of social mobility and social stratification in Australia beyond the fairly restricted findings of the 1965 baseline, not only by including more details on family background, education and class images, but also by including women as respondents in their own right. And thirdly, to maximise the possibilities for comparison with both the first and second generations of national surveys in other countries. This survey represents the Male sample. Some of the questions asked included whether the respondent had ever lived on a farm; their job prospects, intentions and preferences; the comparison of their job to other females; perceptions of society, social classes and class ideology; their employment history, together with occupational history details pertaining to the respondent's father and any children aged 21 years and over. Background variables include age, birthplace, birthdate, marital status, home ownership, household structure, income, party preference, religion, trade union membership, job satisfaction, and retirement.
Study Creation Date2011-04-18 17:28:05 UTC
Data CollectorsANOP Market Research
Bibliographic Citation (documentation)Broom, L., et al. Social Mobility in Australia Project, 1973. [Computer file]. Canberra: Australian Data Archive, The Australian National University, 2009.
Copyright (documentation)Copyright © 2009, The Australian National University. All rights reserved.
Producer (documentation)Australian Data Archive
Title (documentation)Social Mobility in Australia Project, 1973: File m
WeightingWeighting Criteria Compensation for both unequal selection probabilities and for biases in the achieved sample due to non-response. Each person interviewed is allocated a single weight which combines these two stages of weighting. Weighting procedures Four sets of weights are available: 1. POPWEIGHT - These weights add up to estimates of the population to the nearest person. The average weight is 857 for men and 1506 for women. 2. UNITYWEIGHT - These weights have an average of unity within each sex. They therefore add up across the sample to the total number of interviews. Within subsamples they give an approximate indication of the numbers of interviews involved. 3. ESSWEIGHT - These weights add up to the effective sample size within sexes. They therefore average 0.947 for men and 0.925 for women. Within subsamples they will give an approximate indication of the effective sample size. Note that the "sample shrinkage" introduced here only allows for weighting and not for sample design effects. The figures do not estimate (they substantially overestimate) the size of the equivalent simple random sample. 4. ALLWEIGHT - These weights are designed for combined samples of men and women. Hence the average weight given to women has to be substantially higher than that for men. The weights add up to the total number of questionnaires and hence have an average of unity over the combined sample. However, the average weight for men is 0.79 and for women it's 1.38. For any single-sex analysis the four sets of weights are all equally efficient and will yield the same estimate of percentages, means, and correlation coefficients, though possibly slightly varying estimates of standard deviations, depending on the algorithms used. However, when a sample of persons is required either POPWEIGHTs or ALLWEIGHTs should be used; otherwise women will be under-represented. When the two sexes are combined in this way there is quite a substantial further loss in efficiency. The total number of interviews in 4943, but the effective sample size is only 4252, giving an efficiency of 86 percent. In other analyses where married women are used to provide proxy information on their husbands and these proxy "married men" are pooled with the actual married men in the sample, the approximate weights are UNITYWEIGHT and ESSWEIGHT.
ADA IDau.edu.anu.ada.ddi.00008-m
LabelSocial Mobility in Australia Project, 1973: File m
Languageen
CountriesAustralia
Type of Research Instrumentstructured
ADA Processing LevelLevel 2
Production Date2004-08-26
ADA Study LevelLevel 2
Version Date2009-02-17
Version NotesVariable and value labels amended
Version ResponsibilityAustralian Data Archive
Time MethodCross-sectional (one time) study
WeightingWeighting Criteria Compensation for both unequal selection probabilities and for biases in the achieved sample due to non-response. Each person interviewed is allocated a single weight which combines these two stages of weighting. Weighting procedures Four sets of weights are available: 1. POPWEIGHT - These weights add up to estimates of the population to the nearest person. The average weight is 857 for men and 1506 for women. 2. UNITYWEIGHT - These weights have an average of unity within each sex. They therefore add up across the sample to the total number of interviews. Within subsamples they give an approximate indication of the numbers of interviews involved. 3. ESSWEIGHT - These weights add up to the effective sample size within sexes. They therefore average 0.947 for men and 0.925 for women. Within subsamples they will give an approximate indication of the effective sample size. Note that the "sample shrinkage" introduced here only allows for weighting and not for sample design effects. The figures do not estimate (they substantially overestimate) the size of the equivalent simple random sample. 4. ALLWEIGHT - These weights are designed for combined samples of men and women. Hence the average weight given to women has to be substantially higher than that for men. The weights add up to the total number of questionnaires and hence have an average of unity over the combined sample. However, the average weight for men is 0.79 and for women it's 1.38. For any single-sex analysis the four sets of weights are all equally efficient and will yield the same estimate of percentages, means, and correlation coefficients, though possibly slightly varying estimates of standard deviations, depending on the algorithms used. However, when a sample of persons is required either POPWEIGHTs or ALLWEIGHTs should be used; otherwise women will be under-represented. When the two sexes are combined in this way there is quite a substantial further loss in efficiency. The total number of interviews in 4943, but the effective sample size is only 4252, giving an efficiency of 86 percent. In other analyses where married women are used to provide proxy information on their husbands and these proxy "married men" are pooled with the actual married men in the sample, the approximate weights are UNITYWEIGHT and ESSWEIGHT.
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Study Creation Date: 2011-04-18 17:28:05 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
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Study Creation Date: 2011-04-18 17:28:05 UTC
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Study Creation Date: 2011-04-18 17:28:05 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
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Updated At: 2011-08-07 21:48:53 UTC
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Were you living with your own family when you were 14 years old Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Study Creation Date: 2011-04-18 17:28:05 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
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Study Creation Date: 2011-04-18 17:28:05 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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Study Creation Date: 2011-04-18 17:28:05 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
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What kind of district was that Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Study Creation Date: 2011-04-18 17:28:05 UTC
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Looking at this card what kind of farm was that Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Study Creation Date: 2011-04-18 17:28:05 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
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When you were 14, were you living in a flat, a house, or some other kind of dwelling Return to 00008-m   Arrow_up Arrow_down
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Study Creation Date: 2011-04-18 17:28:05 UTC
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Study Creation Date: 2011-04-18 17:28:05 UTC
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Study Creation Date: 2011-04-18 17:28:05 UTC
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Study Creation Date: 2011-04-18 17:28:05 UTC
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When you were 14, did (your family) have a truck or utility (not owned by employer) Return to 00008-m   Arrow_up Arrow_down
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Was your father head of the household where you were living at 14 years old Return to 00008-m   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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When you were 14 years old, what kind of work did your (father/substitute) do Return to 00008-m   Arrow_up Arrow_down
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Misc.
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What were his most important duties or activities in that job Return to 00008-m   Arrow_up Arrow_down
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Misc.
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ANU 2 Status Score Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Respondent's age at time of father's job Return to 00008-m   Arrow_up Arrow_down
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Misc.
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What kind of business or industry was he working in then Return to 00008-m   Arrow_up Arrow_down
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Misc.
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(Is/was) it his own business, that includes a family business or partnership Return to 00008-m   Arrow_up Arrow_down
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Misc.
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About how many people worked where he worked then Return to 00008-m   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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What (are/were) his most important duties or activities in that job Return to 00008-m   Arrow_up Arrow_down
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Misc.
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ANU 2 Status Score Return to 00008-m   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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About how many people work(ed) where he (works now/worked then) Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Was that in Australia or overseas Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Was that a Catholic school or some other kind of school Return to 00008-m   Arrow_up Arrow_down
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Was that in Australia or overseas Return to 00008-m   Arrow_up Arrow_down
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Was that a Catholic school or some other kind of school Return to 00008-m   Arrow_up Arrow_down
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Misc.
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Misc.
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Was she born in Australia or another country Return to 00008-m   Arrow_up Arrow_down
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Misc.
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While you were growing up (still at school) did your (mother/substitute) ever work for pay Return to 00008-m   Arrow_up Arrow_down
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ANU 2 Status Score Return to 00008-m   Arrow_up Arrow_down
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Misc.
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What kind of business or industry did she work in then Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Was that in a family business Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Did she work mostly full-time or part-time while you were growing up Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Misc.
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Misc.
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Was that in Australia or overseas Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Misc.
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Was that in Australia or overseas Return to 00008-m   Arrow_up Arrow_down
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Misc.
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Was that a Catholic school or some other kind of school Return to 00008-m   Arrow_up Arrow_down
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Did your (mother/substitute) ever go on to any further full-time education Return to 00008-m   Arrow_up Arrow_down
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How old was your (mother/substitute) when she completed her full-time education Return to 00008-m   Arrow_up Arrow_down
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:12 UTC
Maximum: 99.0
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Variable ID: V76
Variable Width: 2
Did your (mother/substitute) have any special qualifications ie. diploma, degree Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v74 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
Data File ID: au.edu.anu.ada.ddi.00008-m_F1
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Valid Cases: 3166
Variable Position: 77
ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:11 UTC
Maximum: 9.0
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Variable ID: V77
Variable Width: 1
What qualifications were they Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v75 0.0 99.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
Data File ID: au.edu.anu.ada.ddi.00008-m_F1
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Variable Name: v75
Nesstar ID: au.edu.anu.ada.ddi.00008-m_V78
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Valid Cases: 3166
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Std. Deviation: 18.032
ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:10 UTC
Maximum: 99.0
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Variable ID: V78
Variable Width: 2
Formal qualifications Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v76 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:08 UTC
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Variable ID: V79
Variable Width: 1
When were you born Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v77 1903.0 1943.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Variable Name: v77
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:07 UTC
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Where was your family living when you were born - Australia or overseas Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v78 1.0 92.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Variable Name: v78
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Std. Deviation: 16.627
ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:06 UTC
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Variable ID: V81
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What kind of district was that Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v79 1.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:04 UTC
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Variable ID: V82
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What kind of farm was that Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v80 0.0 99.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
Data File ID: au.edu.anu.ada.ddi.00008-m_F1
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Label: What kind of farm was that
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Variable Name: v80
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Invalid Cases: 0
Valid Cases: 3166
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Std. Deviation: 5.218
ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:03 UTC
Maximum: 99.0
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[If born overseas] In what year did you come to Australia Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v81 0.0 1974.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Variable Name: v81
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Valid Cases: 3166
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:01 UTC
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How many brothers do you have, incl. any who are no longer living, step, adopted, etc Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v82 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Label: How many brothers do you have, incl. any who are no longer living, step, adopted, etc
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Valid Cases: 3166
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:47:00 UTC
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Variable ID: V85
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How many of those are older than you Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v83 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Valid Cases: 3166
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:58 UTC
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Variable ID: V86
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And how many sisters do you have, incl. any who are no longer living, step, adopted, etc Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v84 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
Data File ID: au.edu.anu.ada.ddi.00008-m_F1
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Label: And how many sisters do you have, incl. any who are no longer living, step, adopted, etc
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Valid Cases: 3166
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:57 UTC
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Variable ID: V87
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And how many of your sisters are older than you Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v85 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:54 UTC
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Variable ID: V88
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How long have you been living at this address Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v86 0.0 99.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Variable Name: v86
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:53 UTC
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Variable Width: 2
Do (you/your family) rent this dwelling or do you own it Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v87 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:51 UTC
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Variable ID: V90
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Do you rent from the government, a private landlord or someone else Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v88 0.0 4.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
Data File ID: au.edu.anu.ada.ddi.00008-m_F1
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:50 UTC
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Can you tell me if (you/your family) have a telephone Return to 00008-m   Arrow_up Arrow_down
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v89 0.0 2.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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What about a television set Return to 00008-m   Arrow_up Arrow_down
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v90 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
Updated At: 2011-08-07 21:46:47 UTC
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What about a refrigerator Return to 00008-m   Arrow_up Arrow_down
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v91 0.0 2.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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Variable ID: V94
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What about an inside toilet Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v92 0.0 2.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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What about a car Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v93 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
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What about a truck or utility (not one owned by employer) Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v94 0.0 9.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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What about unshared use of a kitchen Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v95 0.0 2.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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What about unshared use of a bathroom Return to 00008-m   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v96 0.0 2.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
Data File ID: au.edu.anu.ada.ddi.00008-m_F1
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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[Asking only of persons living on a farm] What kind of farm do you have Return to 00008-m   Arrow_up Arrow_down
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v97 0.0 99.0
Misc.
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Study Creation Date: 2011-04-18 17:28:06 UTC
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Variable Name: v97
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ADA ID: au.edu.anu.ada.ddi.00008-m
Database Study ID: 4027
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