Citation ![]() | GESIS - Leibniz Institute for the Social Sciences (2017): ALLBUScompact/GGSScompact 2016 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2016). GESIS Data Archive, Cologne. ZA5251 Data file Version 1.1.0, https://doi.org/10.4232/1.12797 |
Study No. | ZA5251 |
Title | ALLBUScompact/GGSScompact 2016 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2016) |
Current Version | 1.1.0, 2017-5-30, https://doi.org/10.4232/1.12797 |
Date of Collection | 06.04.2016 - 18.09.2016 |
Principal Investigator/ Authoring Entity, Institution |
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Abstract | ALLBUScompact is offered as an alternative to the structurally more complex full version of ALLBUS. It addresses the needs of newcomers to data analysis by providing a simplified demography module containing an easily manageable group of the most important demographic indicators. (For a list of demographic variables included please compare Appendix D in the Variable Report.) All topical question modules not containing sensitive data are retained as in the ALLBUS full version (scientific use file). For a comprehensive description of study topics please compare Study-No. ZA5250 (ALLBUS 2016). |
Geographic Coverage |
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Universe | Residents in private households in the Federal Republic of Germany born before 1 January 1998. |
Analysis Unit ![]() |
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Sampling Procedure ![]() |
Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin). 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.
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Mode of Collection ![]() |
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).
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Time Method ![]() |
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Kind of Data ![]() |
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Data Collector | TNS Infratest, Munich |
Date of Collection |
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Version | Date, Name, DOI |
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1.1.0 (current version) | 2017-5-30 Release1-1-0 https://doi.org/10.4232/1.12797 |
1.0.0 | 2017-5-11 first archive edition https://doi.org/10.4232/1.12778 |
Errata in current version | ||||||||||||||||||
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Version changes | |
Number of Units: | 3490 |
Number of Variables: | 589 |
Analysis System(s): | SPSS, Stata |
Relevant full texts from SSOAR (automatically assigned) | |
Research Data Centre | |
Groups |
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