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Study Information Content
Study TitleWomen in the New South Wales public service, 1978
Primary InvestigatorAnti-Discrimination Board (New South Wales)
ADA IDau.edu.anu.ada.ddi.00019
AbstractThe study was designed to provide representative information on the experiences, attitudes and perceptions of women in the NSW Public Service. Topics investigated were work history, reasons for terminating or continuing employment, job demands, promotion prospects and counselling, differential encouragement to males and females, child care, maternity leave, study leave, training and development courses and own education. An additional short questionnaire administered to typists and stenographers included variables on the structure of their working environment and related preferences. Background variables comprised sex, age, marital status, marital status at commencement of current employment, number of children, ages of oldest and youngest children, home suburb, work location, duration of journey to work, spouse's occupation and income, own income, country of birth, languages spoken and whether foreign language ability was called on in the job, and opinions on whether foreign born employees are discriminated against in the NSW Public Service.
Production Date (documentation)2004-08-26
Bibliographic CitationAnti-Discrimination Board (New South Wales). Women in the New South Wales public service, 1978 [computer file]. Canberra: Australian Data Archive, The Australian National University, 2004.
CopyrightCopyright © 2005, New South Wales Anti-Discrimination Board. All rights reserved.
ContactNew South Wales Anti-Discrimination Board 8-18 Bent St Sydney, NSW 2000
Contact AffiliationNew South Wales Anti-Discrimination Board
Study Scope Content
Topic ClassificationsAustralian studies;Social classes, Social order;Gender roles, Gender-based differences
KeywordsCareers;Child care;Continuing professional education;Discrimination in employment;Education: In-service training;Job satisfaction;Occupational training;Occupational Qualifications;Part time employment;Promotion (occupation);Public service;Superannuation;Termination of service;Transfer (occupation);Women and employment
Population (Universe)males and females employed in the 42 Departments and 10 Statutory Authorities of the New South Wales Public Service.
Date of Collection
Start date - Data Collection: End date - Data Collection:
Time Period
Time Period - Start: Time Period - End:
Methodology Content
Sampling Procedurestratified random sample The short time that the Board had to conduct the survey meant that the sample population had to be limited in two ways: a) Men were only sampled as a control group, so that a greater number of questionnaires could be sent to women. This course was adopted because the main aim of the questionnaire was to elucidate, by concentrating on women, the processes behind the unequal distribution of men and women in the Administration, rather than providing comparative data. In effect this meant that a smaller sampling fraction was used for men than women, and men were only sampled in broadly similar occupations to those where some women were employed. The later decision meant that wage personnel and salary trades and supervisory non-office personnel were excluded. b) Only women in office, and a very limited range of non-office positions, were included. A survey covering all women in the Administration would have required different questionnaire formats, to elicit the different experiences of, for example, clerk and cleaners. In the time available, this was not possible. The main groups of women excluded from the sample population were cleaners, ancillary staff in schools, Teaching Service staff, staff in public hospitals and wages employees. Altogether, approximately half the women employed in the Public Service and major statutory authorities were included in the sample population. In order that the differences between women in different occupations and organisations could be observed, the sample was stratified on a number of dimensions: sex, occupation and departmental/organisational size. Each sample showing the population, number of selections and sampling fraction, is detailed in the table below (see paper documentation). Sample Group Population Number %of population Selected Sampled Men in the Pubic Service 26177 352 1.34 Men in Statutory Authorities 26593 431 1.62 Female Professionals and Sub-professionals 1 (2) 508 175 34.45 Female Professionals and Sub-professionals 2 (3) 1035 282 27.25 Female Professionals and Sub-professionals 3 (4) 1930 400 20.73 Female Clerks - 1 (5) 1124 190 16.90 Female Clerks - 2 (6) 2135 225 9.84 Female Clerks - 3 (7) 1002 400 39.92 Female Keyboard Staff - 1 (8) 2631 200 7.60 Female Keyboard Staff - 2 (9) 4571 181 3.77 Female Clerical and other assistants 1 (10) 1422 205 14.42 Female Clerical and other assistants 2 (11) 2569 200 7.79 Female Field Staff 448 147 32.81 (1) Some of these figures are estimates only. (2) In Departments/organisations with less than 50 staff in the category. (3) In Departments/organisations with 50 or more staff in the category. (4) NSW Health Commission staff in the category. (5) In Departments/organisations with less than 100 staff in this category. (6) In Departments/organisations with 100 or more staff in this category. (7) Female Clerical officers in the Public Transport Commission. (8) In Departments/organisations with up to 200 staff in this category. (9) In Departments/organisations with over 200 staff in this category. (10) In Departments/organisations with up to 150 staff in this category. (11) In Departments/organisations with over 150 staff in this category. The occupational categories used for the design of the sample and the presentation of results were deliberately chosen according to similarities in educational requirements, career opportunities and job skills. These categories varied from those used by most of the organisations surveyed (1). The only organisation where this approach was not used in selecting the sample was the Public Transport Commission, where it was not possible to separate clerks and keyboard operators, because of the rare inclusion of these two groups in a common career scale. Once these categories had been delineated, each department and statutory authority provided information on the number of staff employed in each of these occupational and sex groupings, and either the name or staff number of each person concerned. In the case of the Public Service, the special programme to group staff on the Treasury Central payroll according to sex and occupation (2). The sampling fraction was determined according to the number of staff in each sampling group, on the basis of equalizing the error rates for the major samples. Respondents were then selected within each sample group (3) according to random numbers provided by the State Statistical Co-ordination Unit. 1. For example, the Public Service categorises clerks, stenographers and machine operators together for statistical purposes in the Administrative and Clerical Division, despite the differing entry requirements and career prospects of these groups. 2. Information on salary level was not included in the resulting computer printout. 3. That is, the sample group was the unit of selection, not the individual department or statutory authority.
Data Kindsurvey
Data Access Content
Deposit Information Content
DepositorNew South Wales Anti-Discrimination Board 8-18 Bent St Sydney, NSW 2000
Other Content
Mode of Data Collectionself-completion (mail out, mail back)
CommentThe study was designed to provide representative information on the experiences, attitudes and perceptions of women in the NSW Public Service. Topics investigated were work history, reasons for terminating or continuing employment, job demands, promotion prospects and counselling, differential encouragement to males and females, child care, maternity leave, study leave, training and development courses and own education. An additional short questionnaire administered to typists and stenographers included variables on the structure of their working environment and related preferences. Background variables comprised sex, age, marital status, marital status at commencement of current employment, number of children, ages of oldest and youngest children, home suburb, work location, duration of journey to work, spouse's occupation and income, own income, country of birth, languages spoken and whether foreign language ability was called on in the job, and opinions on whether foreign born employees are discriminated against in the NSW Public Service.
Study Creation Date2011-04-18 17:29:07 UTC
Bibliographic Citation (documentation)Anti-Discrimination Board (New South Wales). Women in the New South Wales public service, 1978 [computer file]. Canberra: Australian Data Archive, The Australian National University, 2004.
Copyright (documentation)Copyright © 2005, The Australian National University. All rights reserved.
Producer (documentation)Australian Data Archive
Title (documentation)Women in the New South Wales public service, 1978
Weightingweighting criteria Because a stratified sample was used, it is necessary to weight responses if responses are to be taken as representative of the survey population. Weighting procedures The weights for each sample can be calculated by using the formula: W = p/n ------- P/N where: W = weighting fraction p = population for particular sample n = responses for particular sample P = Total population for groups represented in weighted sample N = Total responses for groups represented in weighted sample. There is little value in weighting men and women in one file, because of the very small sampling fraction used for the male sample. In previous analyses, the female Public Transport Commission sample has also been excluded from the weighted file, because the return rate for this group was much lower than for the others. Note: the raw data file is unweighted.
ADA IDau.edu.anu.ada.ddi.00019
LabelWomen in the New South Wales public service, 1978
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 Because a stratified sample was used, it is necessary to weight responses if responses are to be taken as representative of the survey population. Weighting procedures The weights for each sample can be calculated by using the formula: W = p/n ------- P/N where: W = weighting fraction p = population for particular sample n = responses for particular sample P = Total population for groups represented in weighted sample N = Total responses for groups represented in weighted sample. There is little value in weighting men and women in one file, because of the very small sampling fraction used for the male sample. In previous analyses, the female Public Transport Commission sample has also been excluded from the weighted file, because the return rate for this group was much lower than for the others. Note: the raw data file is unweighted.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Q1a Position and Grade on joining Return to 00019   Arrow_up Arrow_down
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Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Q1a Position and Grade now Return to 00019   Arrow_up Arrow_down
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Q3b Years in NSW govt P/T Return to 00019   Arrow_up Arrow_down
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Q4a Total years F/T Return to 00019   Arrow_up Arrow_down
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Misc.
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Q4b Total years P/T Return to 00019   Arrow_up Arrow_down
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Misc.
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Q5 Total years unemployed Return to 00019   Arrow_up Arrow_down
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Misc.
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Q6 How much longer continue working Return to 00019   Arrow_up Arrow_down
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Misc.
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Q7a Like working Return to 00019   Arrow_up Arrow_down
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Misc.
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Q7b Financial needs Return to 00019   Arrow_up Arrow_down
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Misc.
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Q7c Interesting job Return to 00019   Arrow_up Arrow_down
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Misc.
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Q7d Personal satisfaction Return to 00019   Arrow_up Arrow_down
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v32 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
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Q7e Contact with other people Return to 00019   Arrow_up Arrow_down
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Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
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Q7f Get out of the house Return to 00019   Arrow_up Arrow_down
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v34 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
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Q7g Spouse wants me to Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v35 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q7h Money of my own Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v36 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q7i Social pressure Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v37 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
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Q7j Career is important to me Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v38 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8a Likely to stop working temporarily Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v39 1.0 3.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8b Likely to stop working permanently Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v40 1.0 3.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c1 Child care problems Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v41 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c2 Spouse's opposition Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v42 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c3 Getting pregnant Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v43 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c4 Not needing the money Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v44 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c5 Domestic pressures Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v45 1.0 4.0
Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c6 Dislike working Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v46 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c7 Study Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v47 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c8 Travel Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v48 1.0 4.0
Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q8c9 Other reason Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v49 1.0 8.0
Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q9a Career opportunities Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v50 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q9b Job security Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v51 1.0 4.0
Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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Variable Name: v51
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q9c Maternity leave availability Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v52 1.0 4.0
Misc.
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q9d Easy to get into Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v53 1.0 4.0
Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
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Q9e Good pay Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v54 1.0 4.0
Misc.
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Study Creation Date: 2011-04-18 17:29:07 UTC
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ADA ID: au.edu.anu.ada.ddi.00019
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Q9f Good working conditions Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v55 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:33 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v55
Nesstar ID: au.edu.anu.ada.ddi.00019_v55
Invalid Cases: 63
Valid Cases: 2140
Variable Position: 55
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:33 UTC
Maximum: 4.0
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Variable ID: v55
Variable Width: 1
Q9g Fringe benefits Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v56 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:32 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v56
Nesstar ID: au.edu.anu.ada.ddi.00019_v56
Invalid Cases: 87
Valid Cases: 2116
Variable Position: 56
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:32 UTC
Maximum: 4.0
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Variable ID: v56
Variable Width: 1
Q9h Interesting job Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v57 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:31 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v57
Nesstar ID: au.edu.anu.ada.ddi.00019_v57
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Valid Cases: 2151
Variable Position: 57
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:31 UTC
Maximum: 4.0
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Variable ID: v57
Variable Width: 1
Q9i One of few jobs available Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v58 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:30 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v58
Nesstar ID: au.edu.anu.ada.ddi.00019_v58
Invalid Cases: 79
Valid Cases: 2124
Variable Position: 58
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:30 UTC
Maximum: 4.0
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Variable ID: v58
Variable Width: 1
Q9j No jobs available locally Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v59 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:28 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v59
Nesstar ID: au.edu.anu.ada.ddi.00019_v59
Invalid Cases: 78
Valid Cases: 2125
Variable Position: 59
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:28 UTC
Maximum: 4.0
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Variable ID: v59
Variable Width: 1
Q9k Knew someone who worked there Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v60 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:27 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v60
Nesstar ID: au.edu.anu.ada.ddi.00019_v60
Invalid Cases: 74
Valid Cases: 2129
Variable Position: 60
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:27 UTC
Maximum: 4.0
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Variable ID: v60
Variable Width: 1
Q9l Flexitime Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v61 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:26 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v61
Nesstar ID: au.edu.anu.ada.ddi.00019_v61
Invalid Cases: 76
Valid Cases: 2127
Variable Position: 61
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:26 UTC
Maximum: 4.0
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Variable ID: v61
Variable Width: 1
Q9m Prefer not to work for private enterprise Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v62 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:25 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable ID: 1176470
Interval: discrete
Label: Q9m Prefer not to work for private enterprise
Variable Name: v62
Nesstar ID: au.edu.anu.ada.ddi.00019_v62
Invalid Cases: 88
Valid Cases: 2115
Variable Position: 62
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:25 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v62
Variable Width: 1
Card number 2 Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v63 2.0 2.0
Misc.
Update Creation Date: 2011-08-01 17:57:23 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v63
Nesstar ID: au.edu.anu.ada.ddi.00019_v63
Invalid Cases: 0
Valid Cases: 2203
Variable Position: 63
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:23 UTC
Maximum: 2.0
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Variable ID: v63
Variable Width: 1
Organisation Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v64 10.0 99.0
Misc.
Update Creation Date: 2011-08-01 17:57:22 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable ID: 1176468
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Variable Name: v64
Nesstar ID: au.edu.anu.ada.ddi.00019_v64
Invalid Cases: 0
Valid Cases: 2203
Variable Position: 64
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:22 UTC
Maximum: 99.0
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Variable ID: v64
Variable Width: 2
Sex-occupation of respondent Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v65 0.0 6.0
Misc.
Update Creation Date: 2011-08-01 17:57:21 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable Name: v65
Nesstar ID: au.edu.anu.ada.ddi.00019_v65
Invalid Cases: 1
Valid Cases: 2202
Variable Position: 65
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:21 UTC
Maximum: 6.0
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Variable ID: v65
Variable Width: 1
ID number Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v66 1.0 3100.0
Misc.
Update Creation Date: 2011-08-01 17:57:20 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Interval: contin
Label: ID number
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Variable Name: v66
Nesstar ID: au.edu.anu.ada.ddi.00019_v66
Invalid Cases: 0
Valid Cases: 2203
Variable Position: 66
Std. Deviation: 656.53
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:20 UTC
Maximum: 3100.0
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Variable ID: v66
Variable Width: 4
Q10a Salary good Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v67 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:19 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Interval: discrete
Label: Q10a Salary good
Variable Name: v67
Nesstar ID: au.edu.anu.ada.ddi.00019_v67
Invalid Cases: 65
Valid Cases: 2138
Variable Position: 67
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:19 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v67
Variable Width: 1
Q10b Training possibilities Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v68 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:18 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Interval: discrete
Label: Q10b Training possibilities
Variable Name: v68
Nesstar ID: au.edu.anu.ada.ddi.00019_v68
Invalid Cases: 89
Valid Cases: 2114
Variable Position: 68
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:18 UTC
Maximum: 4.0
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Variable ID: v68
Variable Width: 1
Q10c Promotion opportunities Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v69 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:16 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable ID: 1176463
Interval: discrete
Label: Q10c Promotion opportunities
Variable Name: v69
Nesstar ID: au.edu.anu.ada.ddi.00019_v69
Invalid Cases: 71
Valid Cases: 2132
Variable Position: 69
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:16 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v69
Variable Width: 1
Q10d Superannuation Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v70 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:15 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable ID: 1176462
Interval: discrete
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Variable Name: v70
Nesstar ID: au.edu.anu.ada.ddi.00019_v70
Invalid Cases: 63
Valid Cases: 2140
Variable Position: 70
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:15 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v70
Variable Width: 1
Q10e Interesting work Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v71 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:14 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable ID: 1176461
Interval: discrete
Label: Q10e Interesting work
Variable Name: v71
Nesstar ID: au.edu.anu.ada.ddi.00019_v71
Invalid Cases: 55
Valid Cases: 2148
Variable Position: 71
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:14 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v71
Variable Width: 1
Q10f Prefer working for the Government Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v72 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:13 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
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Variable ID: 1176460
Interval: discrete
Label: Q10f Prefer working for the Government
Variable Name: v72
Nesstar ID: au.edu.anu.ada.ddi.00019_v72
Invalid Cases: 56
Valid Cases: 2147
Variable Position: 72
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:13 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v72
Variable Width: 1
Q10g Security of employment Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v73 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:12 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
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Variable ID: 1176459
Interval: discrete
Label: Q10g Security of employment
Variable Name: v73
Nesstar ID: au.edu.anu.ada.ddi.00019_v73
Invalid Cases: 42
Valid Cases: 2161
Variable Position: 73
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:12 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v73
Variable Width: 1
Q10h Don't work too hard Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v74 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:10 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
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Variable ID: 1176458
Interval: discrete
Label: Q10h Don't work too hard
Variable Name: v74
Nesstar ID: au.edu.anu.ada.ddi.00019_v74
Invalid Cases: 75
Valid Cases: 2128
Variable Position: 74
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:10 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v74
Variable Width: 1
Q10i Pleasant co-workers Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v75 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:09 UTC
Study Creation Date: 2011-04-18 17:29:07 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
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Variable ID: 1176457
Interval: discrete
Label: Q10i Pleasant co-workers
Variable Name: v75
Nesstar ID: au.edu.anu.ada.ddi.00019_v75
Invalid Cases: 59
Valid Cases: 2144
Variable Position: 75
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:09 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v75
Variable Width: 1
Q10j Only place offering this type of job Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v76 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:08 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176456
Interval: discrete
Label: Q10j Only place offering this type of job
Variable Name: v76
Nesstar ID: au.edu.anu.ada.ddi.00019_v76
Invalid Cases: 73
Valid Cases: 2130
Variable Position: 76
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:08 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v76
Variable Width: 1
Q10k Build up seniority Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v77 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:07 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
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Variable ID: 1176455
Interval: discrete
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Variable Name: v77
Nesstar ID: au.edu.anu.ada.ddi.00019_v77
Invalid Cases: 84
Valid Cases: 2119
Variable Position: 77
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:07 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v77
Variable Width: 1
Q10l Too much trouble moving Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v78 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:06 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176454
Interval: discrete
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Variable Name: v78
Nesstar ID: au.edu.anu.ada.ddi.00019_v78
Invalid Cases: 76
Valid Cases: 2127
Variable Position: 78
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:06 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v78
Variable Width: 1
Q10m Interest in your particular field Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v79 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:04 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176453
Interval: discrete
Label: Q10m Interest in your particular field
Variable Name: v79
Nesstar ID: au.edu.anu.ada.ddi.00019_v79
Invalid Cases: 64
Valid Cases: 2139
Variable Position: 79
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:04 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v79
Variable Width: 1
Q11 How long stay with NSW govt Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v80 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:57:03 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176452
Interval: discrete
Label: Q11 How long stay with NSW govt
Variable Name: v80
Nesstar ID: au.edu.anu.ada.ddi.00019_v80
Invalid Cases: 10
Valid Cases: 2193
Variable Position: 80
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:03 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v80
Variable Width: 1
Q12 Kind of work you will do Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v81 1.0 7.0
Misc.
Update Creation Date: 2011-08-01 17:57:02 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176451
Interval: discrete
Label: Q12 Kind of work you will do
Variable Name: v81
Nesstar ID: au.edu.anu.ada.ddi.00019_v81
Invalid Cases: 35
Valid Cases: 2168
Variable Position: 81
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:02 UTC
Maximum: 7.0
Minimum: 1.0
Variable ID: v81
Variable Width: 1
Q13a Highest grade/level likely to reach Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v82 1.0 9.0
Misc.
Update Creation Date: 2011-08-01 17:57:01 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176450
Interval: discrete
Label: Q13a Highest grade/level likely to reach
Variable Name: v82
Nesstar ID: au.edu.anu.ada.ddi.00019_v82
Invalid Cases: 160
Valid Cases: 2043
Variable Position: 82
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:57:01 UTC
Maximum: 9.0
Minimum: 1.0
Variable ID: v82
Variable Width: 1
Q13b Years this will take Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v83 1.0 9.0
Misc.
Update Creation Date: 2011-08-01 17:56:59 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
Format Schema: ISO
Variable ID: 1176449
Interval: discrete
Label: Q13b Years this will take
Variable Name: v83
Nesstar ID: au.edu.anu.ada.ddi.00019_v83
Invalid Cases: 1015
Valid Cases: 1188
Variable Position: 83
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:56:59 UTC
Maximum: 9.0
Minimum: 1.0
Variable ID: v83
Variable Width: 1
Q13c Comment on q13a and q13b Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v84 0.0 9.0
Misc.
Update Creation Date: 2011-08-01 17:56:58 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
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Variable ID: 1176448
Interval: discrete
Label: Q13c Comment on q13a and q13b
Variable Name: v84
Nesstar ID: au.edu.anu.ada.ddi.00019_v84
Invalid Cases: 1627
Valid Cases: 576
Variable Position: 84
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:56:58 UTC
Maximum: 9.0
Minimum: 0.0
Variable ID: v84
Variable Width: 1
Q14 Stay with same department Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
v85 1.0 4.0
Misc.
Update Creation Date: 2011-08-01 17:56:57 UTC
Study Creation Date: 2011-04-18 17:29:08 UTC
Data File ID: au.edu.anu.ada.ddi.00019_F1
Decimal Places: 0
Format: numeric
Format Schema: ISO
Variable ID: 1176447
Interval: discrete
Label: Q14 Stay with same department
Variable Name: v85
Nesstar ID: au.edu.anu.ada.ddi.00019_v85
Invalid Cases: 47
Valid Cases: 2156
Variable Position: 85
ADA ID: au.edu.anu.ada.ddi.00019
Database Study ID: 3132
Updated At: 2011-08-01 17:56:57 UTC
Maximum: 4.0
Minimum: 1.0
Variable ID: v85
Variable Width: 1
Q15a More permanent part-time positions Return to 00019   Arrow_up Arrow_down
Name Val Range Min Val Range Max
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