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IsssA 1987/88 Inequality-I
CODEBOOK APPENDIX: THE SAMPLE


     These data are from the 1987-1988 round of Australia's leading academic 
survey, the International Social Science Survey/Australia (IsssA); it includes 
modules from the National Social Science Survey, the International Social Survey 
Programme, and various academic research projects. There are 1663 respondents. It 
is a mail survey of simple random sample of citizens aged 18 and over, using a 
sample drawn from the (compulsory) electoral rolls. Potential respondents were sent 
an initial questionnaire, followed 10 days later by a thank you/ reminder letter. 
Non-respondents were then pursued by up to four subsequent mailings over a six 
month period, including two mailings with fresh copies of the questionnaire.
     
     The final response rate was 60%, essentially the same as an earlier NSSS 
survey using face-to-face methods with a very similar questionnaire; this compares 
well with recent experience in many industrial nations, for example the well 
regarded 1988 International Crime Victim Survey (van Dijk, Mayhew and Killias, 
1989) with a completion rate averaging 41% in 14 nations (and 45% in Australia). 
     In Australia, the use of mail rather than personal interviews seems to have no 
implications for quality or comparability. Comparisons with an earlier NSSS survey 
based on personal interviews and subsequent mail surveys asking the same questions 
show no appreciable differences. The mail survey's simple random sample is 
statistically much more efficient than the cluster sample necessary for face-to-
face interviews. 
     Extensive comparisons with the 1986 Census show that the sample closely 
approximates the population in age, sex, place of residence, education, labor force 
participation, and occupation (Bean 1991: 12-19). 
[Reference]
Bean, C.S. 1991. "Comparison of National Social Science Survey Data with the 1986 
Census"  National Social Science Survey Report 2(6): 12-19.


We do not yet have Bean’s article available in electronic form, but do have some 
material from another of our surveys, using exactly the same methods, done a couple 
of years later. It is reproduced below (the exact wording is borrowed from the 
Zentralarchiv fuer Empirische Sozialforschung codebook for study S1950). This 
report is far briefer than Bean’s but, insofar as they overlap, the conclusions are 
the same.
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Study description: Australia
Study-Title:           National Social Science Survey (NSSS) 1990
                       Election Panel Survey
Fieldwork Dates:       March to July 1990
Principal
Investigators:         Jonathan Kelley, Clive Bean, Mariah Evans
Sample Type:           Panel of respondents from the earlier NSSS
                       'Family' survey, conducted in late 1989-early
                       1990. This was a simple random sample covering
                       the whole of Australia, drawn from the
                       (compulsory) Australian federal electoral rolls
                       by the Australian Electoral Commission. Potential
                       respondents were eligible for inclusion in the
                       sample if they had completed the Family survey
                       and were still contactable at the same address.
                       The simple random sampling method means that
                       standard statistical tests are appropriate (i.e.,
                       without the downward adjustment of effective
                       sample size appropriate for the clustered sample
                       designs usual in face-to-face interviews).
Response Rates:
                       3730   A - Total issued - total sample
                       879    B - Ineligible - out of scope
                       2851   C - (=A - B) Total eligible (in scope
                              sample)
                       2398   D - Total ISSP questionnaires received
                              E - (=C - D; F + G + H)
                        347   F - Refusals
                              G - Non-contact
                        106   H - Other (valid questionnaires received
                              without information necessary to link panel
                              respondents to background data form earlier
                              wave of the survey)
"Comparison with National Population Characteristics: Australia
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                       Source 1      Source 2
                       Census        Survey
                       1986          1990
Male                   49.1 %        51.7 %
Female                 50.9 %        48.3 %
(N)                                  (2279)
Age Groups
20 - 24                12.0 %        8.1 %
25 - 34                23.8 %        21.3 %
35 - 44                20.9 %        22.5 %
45 - 54                14.4 %        17.2 %
55 - 59                 6.9 %        7.2 %
60 - 64                 6.6 %        8.2 %
65 +                   15.5 %        15.4 %
(N)                                  (2279)
Age left School
under 13/none           3.7 %        1.6 %
13 years old            3.0 %        1.5 %
14 years old           18.1 %        14.6 %
15 years old           25.6 %        24.0 %
16 years old           21.4 %        22.7 %
17 years old           15.5 %        21.8 %
18 years old            9.0 %        10.5 %
19 and over             3.5 %         3.0 %
Still at
school                  0.1 %         0.1 %
(N)                                  (2232)
Managers               12.9 %        13.5 %
Professionals          13.1 %        21.0 %
Para-
professional            7.0 %        12.2 %
Tradespersons          15.2 %        11.4 %
Clerks                 17.4 %        16.6 %
Sales and personal
services               11.3 %         9.3 %
Plant and machine
operators               8.6 %         7.3 %
Labourers and
related
workers                14.2 %         8.8 %
(N)                                  (1254)
Labour Force Status:
Wage/salary
earner                 46.7 %        52.0 %
Self-employed/
employer               10.0 %         8.0 %
Unpaid helper           0.5 %         0.4 %
Unemployed              5.0 %         2.1 %
Not in labour
force                  37.7 %        37.5 %
(N)                                  (2017)
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