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Study Information Content
Study TitleSocial Mobility in Australia Project, 1973: File f
Primary InvestigatorBroom, L. Duncan-Jones, P. Lancaster Jones, F. McDonnell, P. Williams, T.
ADA IDau.edu.anu.ada.ddi.00008-f
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 Female 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 Female 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 17:27:43 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 f
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-f
LabelSocial Mobility in Australia Project, 1973: File f
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.
What kind of business or industry were you working in then Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v293 0.0 93.0
Misc.
Update Creation Date: 2011-08-07 21:57:05 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Mean: 4.53
Minimum: 0.0
Variable Name: v293
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V301
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 301
Std. Deviation: 15.639
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:57:05 UTC
Maximum: 93.0
Minimum: 0.0
Variable ID: V301
Variable Width: 2
About how many hours a week did you usually work at that job Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v294 0.0 95.0
Misc.
Update Creation Date: 2011-08-07 21:57:04 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable ID: 1234527
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Label: About how many hours a week did you usually work at that job
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Variable Name: v294
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V302
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 302
Std. Deviation: 14.633
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:57:04 UTC
Maximum: 95.0
Minimum: 0.0
Variable ID: V302
Variable Width: 2
Was it your own business, that includes a family business or partnership Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v295 0.0 2.0
Misc.
Update Creation Date: 2011-08-07 21:57:02 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
Decimal Places: 0
Format: numeric
Format Schema: ISO
Variable ID: 1234526
Interval: discrete
Label: Was it your own business, that includes a family business or partnership
Variable Name: v295
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V303
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 303
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:57:02 UTC
Maximum: 2.0
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Variable ID: V303
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About how many people worked in the place you were working then Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v296 0.0 5.0
Misc.
Update Creation Date: 2011-08-07 21:56:59 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable ID: 1234525
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Label: About how many people worked in the place you were working then
Variable Name: v296
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V304
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 304
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:59 UTC
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Variable ID: V304
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Where you living then Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v297 0.0 61.0
Misc.
Update Creation Date: 2011-08-07 21:56:58 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable ID: 1234524
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Variable Name: v297
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V305
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 305
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:58 UTC
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Variable ID: V305
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What kind of district was that Return to 00008-f   Arrow_up Arrow_down
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v298 0.0 6.0
Misc.
Update Creation Date: 2011-08-07 21:56:57 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable ID: 1234523
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Variable Name: v298
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V306
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 306
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:57 UTC
Maximum: 6.0
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Variable ID: V306
Variable Width: 1
[If farm] What kind of farm was that Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v299 0.0 22.0
Misc.
Update Creation Date: 2011-08-07 21:56:55 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
Decimal Places: 0
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Variable ID: 1234522
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Label: [If farm] What kind of farm was that
Variable Name: v299
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V307
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 307
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:55 UTC
Maximum: 22.0
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Variable ID: V307
Variable Width: 2
Did you rent the place you lived in then, or did you own it Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v300 0.0 3.0
Misc.
Update Creation Date: 2011-08-07 21:56:53 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
Decimal Places: 0
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Variable ID: 1234521
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Variable Name: v300
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V308
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 308
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:53 UTC
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Variable ID: V308
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What is your present job Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v301 0.0 883.0
Misc.
Update Creation Date: 2011-08-07 21:56:52 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
Decimal Places: 0
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Variable ID: 1234520
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Label: What is your present job
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Mean: 403.24
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Variable Name: v301
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V309
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 309
Std. Deviation: 293.077
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:52 UTC
Maximum: 883.0
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Variable ID: V309
Variable Width: 3
What are your main duties in the job you have now Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v302 0.0 7.0
Misc.
Update Creation Date: 2011-08-07 21:56:47 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable Name: v302
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Valid Cases: 3166
Variable Position: 310
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:47 UTC
Maximum: 7.0
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Variable ID: V310
Variable Width: 1
Present job ANU 2 Status Score Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v303 0.0 896.0
Misc.
Update Creation Date: 2011-08-07 21:56:45 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable Name: v303
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V311
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 311
Std. Deviation: 193.664
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:45 UTC
Maximum: 896.0
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Variable ID: V311
Variable Width: 3
What kind of industry is that Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v304 0.0 99.0
Misc.
Update Creation Date: 2011-08-07 21:56:44 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Label: What kind of industry is that
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Variable Name: v304
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V312
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 312
Std. Deviation: 25.975
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:44 UTC
Maximum: 99.0
Minimum: 0.0
Variable ID: V312
Variable Width: 2
About how many hours a week do you work at your present job Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v305 0.0 99.0
Misc.
Update Creation Date: 2011-08-07 21:56:42 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Label: About how many hours a week do you work at your present job
Maximum: 99.0
Mean: 41.31
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Variable Name: v305
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V313
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 313
Std. Deviation: 18.425
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:42 UTC
Maximum: 99.0
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Variable ID: V313
Variable Width: 2
Is it your own business, that includes a family business or partnership Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v306 0.0 2.0
Misc.
Update Creation Date: 2011-08-07 21:56:41 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
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Invalid Cases: 0
Valid Cases: 3166
Variable Position: 314
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:41 UTC
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Variable ID: V314
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About how many people work in the place where you work now Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v307 0.0 9.0
Misc.
Update Creation Date: 2011-08-07 21:56:40 UTC
Study Creation Date: 2011-04-18 17:27:52 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Valid Cases: 3166
Variable Position: 315
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:40 UTC
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[If a farmer & own business] What letter comes closest to the walk-in/walk-out value of your property Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v308 0.0 9.0
Misc.
Update Creation Date: 2011-08-07 21:56:38 UTC
Study Creation Date: 2011-04-18 17:27:53 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Invalid Cases: 0
Valid Cases: 3166
Variable Position: 316
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:38 UTC
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Variable ID: V316
Variable Width: 1
Do you have any other jobs in addition to your main job Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v309 0.0 2.0
Misc.
Update Creation Date: 2011-08-07 21:56:37 UTC
Study Creation Date: 2011-04-18 17:27:53 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Variable ID: 1234512
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Variable Name: v309
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V317
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 317
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:37 UTC
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Variable ID: V317
Variable Width: 1
About how many hours a week do you usually work at that job Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v310 0.0 99.0
Misc.
Update Creation Date: 2011-08-07 21:56:36 UTC
Study Creation Date: 2011-04-18 17:27:53 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Label: About how many hours a week do you usually work at that job
Maximum: 99.0
Mean: 1.71
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Variable Name: v310
Nesstar ID: au.edu.anu.ada.ddi.00008-f_V318
Invalid Cases: 0
Valid Cases: 3166
Variable Position: 318
Std. Deviation: 9.378
ADA ID: au.edu.anu.ada.ddi.00008-f
Database Study ID: 4028
Updated At: 2011-08-07 21:56:36 UTC
Maximum: 99.0
Minimum: 0.0
Variable ID: V318
Variable Width: 2
Do you belong to a trade union, other employee organisation, professional or employer association Return to 00008-f   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v311 0.0 3.0
Misc.
Update Creation Date: 2011-08-07 21:56:34 UTC
Study Creation Date: 2011-04-18 17:27:53 UTC
Data File ID: au.edu.anu.ada.ddi.00008-f_F1
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Apart from other jobs, have you ever had a business of your own, either full-time or in spare time Return to 00008-f   Arrow_up Arrow_down
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What kind of business was that Return to 00008-f   Arrow_up Arrow_down
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[Men only] Have you ever served full-time in the Australian Armed Services Return to 00008-f   Arrow_up Arrow_down
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Misc.
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[Men only] When was that (year ended) Return to 00008-f   Arrow_up Arrow_down
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Misc.
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[Men only] What was the highest rank you ever held in the Armed Services Return to 00008-f   Arrow_up Arrow_down
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[Men only] Did you get any special qualifications while you were in the Armed Services Return to 00008-f   Arrow_up Arrow_down
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Misc.
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[Men only] Specify qualifications Return to 00008-f   Arrow_up Arrow_down
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Misc.
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[Men only] Describe qualifications Return to 00008-f   Arrow_up Arrow_down
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Misc.
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[Men only] Did you get any special occupational benefits as a result of service ie. University, farming, etc Return to 00008-f   Arrow_up Arrow_down
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Misc.
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Misc.
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Misc.
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Do you think that job will be better, about the same, or not so good as the job you have now Return to 00008-f   Arrow_up Arrow_down
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Misc.
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What sort of job would that be Return to 00008-f   Arrow_up Arrow_down
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Misc.
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Misc.
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Future job ANU 2 Status Score Return to 00008-f   Arrow_up Arrow_down
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Misc.
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Misc.
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How satisfied are you with your earnings Return to 00008-f   Arrow_up Arrow_down
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