GESIS - DBK - ZA4618
 

ZA4618: ALLBUS/GGSS 2012 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2012): Supplementary Data Set Occupational Classifications

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List of Files

List of Files
 

Datasets

  • ZA4618_missing.sps (Dataset) 2 KBytes
  • ZA4618_v1-0-0.dta.zip (Dataset) 145 KBytes
  • ZA4618_v1-0-0.por (Dataset SPSS Portable) 767 KBytes
  • ZA4618_v1-0-0.sav (Dataset SPSS) 758 KBytes

Codebooks

  • ZA4618_cdb.pdf (Codebook) 769 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GESIS - Leibniz Institute for the Social Sciences (2013): ALLBUS/GGSS 2012 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2012): Supplementary Data Set Occupational Classifications. GESIS Data Archive, Cologne. ZA4618 Data file Version 1.0.0, https://doi.org/10.4232/1.11774
Study No.ZA4618
TitleALLBUS/GGSS 2012 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2012): Supplementary Data Set Occupational Classifications
Current Version1.0.0, 2013-10-28, https://doi.org/10.4232/1.11774
Date of Collection04.2012 - 09.2012
Principal Investigator/ Authoring Entity, Institution
  • Diekmann, Andreas - ETH Zürich
  • Fetchenhauer, Detlef - Universität Köln
  • Kühnel, Steffen - Universität Göttingen
  • Liebig, Stefan - Universität Bielefeld, Vorsitz
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Trappe, Heike - Universität Rostock
  • Wagner, Michael - Universität Köln

Content

AbstractThis supplementary data set contains occupational classifications as well as a number of prestige or status variables that were not yet available on the first release of the main ALLBUS 2012 data set (ZA4614). In addition to this, the data set contains a number of identification variables and weights. 1.) Identification variables: Study number, respondent ID, German citizenship, region of interview. 2.) Occupation and prestige: Respondent´s current occupation – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008; respondent´s last occupation – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008; current spouse – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008; current life partner – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008; father – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008; mother – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008; occupational metaclassification (Terwey) – ISCO 1988, SIOPS, ISEI (Ganzeboom), ISCO 2008. 3.) Weights: transformation weight for analysis at household level, east-west weight for analyses of Germany as a whole.
Topics Topics
  • 1.5 Employment

Methodology

Geographic Coverage
  • Germany (DE)
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
  • Probability: Multistage
Person sample: Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin) from all persons (German and non-German) who resided in private households and were born before 1 January 1994. In the first sample stage municipalities (Gemeinden) in western Germany and municipalities in eastern Germany were selected with a probability proportional to their number of adult residents; in the second sample stage individual persons were selected at random from the municipal registers of residents. Targeted individuals who did not have adequate knowledge of German to conduct the interview were treated as systematic unit non-responses.
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
Personal interview with standardized questionnaire (CAPI – Computer Assisted Personal Interviewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (drop off; split questionnaire design).
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorTNS Infratest, München
Date of Collection
  • 04.2012 - 09.2012

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2013-10-28 first archive edition https://doi.org/10.4232/1.11774
Errata in current version
DateSubjectDescription
2016-4-8Stata: v744, v745, v746Respondents with missing information on weighting variables have to be assigned to missing value (.a). For correction of the Stata dataset a patch was provided together with the Stata dataset. Please download ZA4618_v1-0-0.dta.zip.
Version changes

Further Remarks

Number of Units: 3480
Number of Variables: 51
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  ALLBUS
    The German General Social Survey (ALLBUS) collects up-to-date data on attitudes, behavior, and social structure in Germany. Every two years since 1980 a representative cross section of the population is surveyed using both constant and variable questions. The ALLBUS data become available to interested parties for research and teaching as soon as they are processed and documented.