Summary information

Study title

German General Social Survey - ALLBUScompact 2016

Creator

Stefan Bauernschuster (Universität Passau)
Andreas Diekmann (ETH Zürich)
Andreas Hadjar (Université du Luxembourg)
Karin Kurz (Universität Göttingen)
Ulrich Rosar (Universität Düsseldorf)
Ulrich Wagner (Universität Marburg)
Bettina Westle (Universität Marburg)

Study number / PID

ZA5253, Version 1.0.0 (GESIS)

10.4232/1.13145 (DOI)

Data access

Information not available

Series

Not available

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. 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. 5252 (ALLBUS/GGSS 2016) .

Keywords

Not available

Methodology

Data collection period

06/04/2016 - 18/09/2016

Country

Germany

Time dimension

Cross-section

Analysis unit

Not available

Universe

Not available

Sampling procedure

Probability: Stratified: Disproportional
Probability: Cluster: Stratified random
Person sample Universe Sampled: All persons (German and non-German) who resided in private households and were born before 1 January 1998. Selection Method: 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.

Kind of data

Not available

Data collection mode

Face-to-face interview: Computer-assisted (CAPI/CAMI)
Self-administered questionnaire: Computer-assisted (CASI)
Personal, oral interview with standardized questionnaire (CAPI – Computer Assisted Personal Interviewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (split questionnaire design).

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2018

Terms of data access

A - Data and documents are released for academic research and teaching.

Related publications

Not available