Summary information

Study title

German General Social Survey - ALLBUS 2010

Creator

Diekmann, Andreas (ETH Zürich)
Fetchenhauer, Detlef (Universität Köln)
Kühnel, Steffen (Universität, Göttingen)
Liebig, Stefan (Universität Bielefeld)
Schmitt-Beck, Rüdiger (Universität Mannheim)
Trappe, Heike (Universität Rostock)
Wagner, Michael (Universität Köln)

Study number / PID

ZA4612, Version 1.0.1 (GESIS)

10.4232/1.11782 (DOI)

Data access

Information not available

Series

Not available

Abstract

ALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monitor attitudes, behavior, and social change in Germany. Each ALLBUS cross-sectional survey consists of one or two main question modules covering changing topics, a range of supplementary questions and a core module providing detailed demographic information. Additionally, data on the interview and the interviewers are provided as well. Key topics generally follow a 10-year replication cycle, many individual indicators and item batteries are replicated at shorter intervals. Since the mid-1980ies ALLBUS also regularly hosts one or two modules of the ISSP (International Social Survey Programme). ALLBUS/GGSS 2010 focuses on the replication of questions from previous ALLBUS surveys and includes a broad range of sociologically relevant topics. The survey also features an updated and extended module on ego-centered networks that comprises new characteristics of the alteri and an alternative network generator (Burt) surveyed in a split questionnaire. Additionally included are the ISSP modules "Social Inequality IV" and "Environment III".
ALLBUS/GGSS 2010 is an English translation of the original German survey ALLBUS 2010. For a comprehensive study description please compare Study No. 4610 (ALLBUS 2010) .

Keywords

Not available

Methodology

Data collection period

05/2010 - 11/2010

Country

Germany

Time dimension

Cross-section

Analysis unit

Not available

Universe

Not available

Sampling procedure

Probability: Stratified: Disproportional
Probability: Multistage

Kind of data

Not available

Data collection mode

Face-to-face interview: Computer-assisted (CAPI/CAMI)
Self-administered questionnaire: Computer-assisted (CASI)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2013

Terms of data access

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

Related publications

Not available