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

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • GESIS - Leibniz-Institut für Sozialwissenschaften
Publication Date
2013-10-28
Contributor
  • Diekmann, Andreas (ETH Zürich) (Researcher)
  • Fetchenhauer, Detlef (Universität Köln) (Researcher)
  • Kühnel, Steffen (Universität Göttingen) (Researcher)
  • Liebig, Stefan (Universität Bielefeld, Vorsitz) (Researcher)
  • Schmitt-Beck, Rüdiger (Universität Mannheim) (Researcher)
  • Trappe, Heike (Universität Rostock) (Researcher)
  • Wagner, Michael (Universität Köln) (Researcher)
  • TNS Infratest, München (Data Collector)
Language
German
Classification
  • CESSDA Topic Classification:
    • Employment
Description
  • Abstract

    This 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.
Temporal Coverage
  • 2012-04 / 2012-09
Geographic Coverage
  • Germany (DE)
Sampling
Probability: Stratified: Disproportional; Probability: Multistage; Sampling Procedure Comment: 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.
Time Dimension
  • Cross-section
Collection Mode
  • Face-to-face interview: 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).
Data and File Information
  • Unit Type: Individual
    Number of Units: 3480
    Number of Variables: 51
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA4618 (Type: ZA-No.)
  • ALLBUS (Type: FDZ)

Update Metadata: 2020-10-21 | Issue Number: 18 | Registration Date: 2013-11-28

GESIS - Leibniz-Institut für Sozialwissenschaften (2013): Allgemeine Bevölkerungsumfrage der Sozialwissenschaften ALLBUS 2012: Zusatzdatensatz Berufsklassifikationen. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.11774