GESIS - DBK - ZA5241
 

ZA5241: ALLBUScompact/GGSScompact 2014 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2014)

Downloads and Data Access


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ZA5241 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5241_v1-2-0.dta.zip (Dataset) 617 KBytes
  • ZA5241_v1-2-0.sav (Dataset SPSS) 3 MBytes

Questionnaires

  • ZA5240_fb.pdf (Questionnaire) 957 KBytes
  • ZA5242_q.pdf (Questionnaire) 394 KBytes

Codebooks

  • ZA5241_cdb.pdf (Codebook) 2 MBytes
  • ZA5241_Supplement_Alter.pdf (Codebook) 1 MByte
  • ZA5241_Supplement_Erhebungsgebiet.pdf (Codebook) 1 MByte
  • ZA5241_Supplement_Geschlecht.pdf (Codebook) 1 MByte
  • ZA5241_Supplement_Konfession.pdf (Codebook) 2 MBytes

Other Documents

  • ZA5241_compare.pdf (Other Document) 486 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 (2018): ALLBUScompact/GGSScompact 2014 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2014). GESIS Data Archive, Cologne. ZA5241 Data file Version 1.2.0, https://doi.org/10.4232/1.13142
Study No.ZA5241
TitleALLBUScompact/GGSScompact 2014 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2014)
Current Version1.2.0, 2018-9-14, https://doi.org/10.4232/1.13142
Date of Collection24.03.2014 - 13.09.2014
Principal Investigator/ Authoring Entity, Institution
  • Andreas Diekmann - ETH Zürich
  • Detlef Fetchenhauer - Universität zu Köln
  • Frauke Kreuter - Universität München
  • Karin Kurz - Universität Göttingen
  • Stefan Liebig - Universität Bielefeld
  • Michael Wagner - Universität zu Köln
  • Bettina Westle - Universität Marburg

Content

AbstractALLBUScompact 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. 5240 (ALLBUS 2014).
Topics Topics
  • 1.5 Employment
  • 2.2 Migration
  • 5.1 Leisure, tourism and sport
  • 5.3 Cultural activities and participation
  • 5.4 Cultural and national identity
  • 5.8 Social behaviour and attitudes
  • 7.8 Specific diseases and medical conditions
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 13.3 Family life and marriage
  • 13.5 Equality and inequality
  • 13.9 Social exclusion
  • 13.10 Social and occupational mobility
  • 17.2 Income, property and investment/saving

Methodology

Geographic Coverage
  • Germany (DE)
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
  • Probability: Multistage
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 1996. 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)
  • Self-administered questionnaire: Computer-assisted (CASI)
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 Sozialforschung, Munich
Date of Collection
  • 24.03.2014 - 13.09.2014

Errata & Versions

VersionDate, Name, DOI
1.2.0 (current version)2018-9-14 Release1-2-0 https://doi.org/10.4232/1.13142
1.1.02015-7-14 Release1-1-0 https://doi.org/10.4232/1.12289
1.0.02015-4-30 first archive edition https://doi.org/10.4232/1.12218
Errata in current version
none
Version changes
Changes between version 1.2.0 and it's previous version
DateSubjectDescriptionCorrection Description
2017-1-11V3382018-9-14The value labels for v338 LEBENSPARTNER: ALTER, KAT. were amended. The correct value labels are: 0 ´TRIFFT NICHT ZU´ 1 ´UNTER 18 JAHRRE´ 2 ´18-29 JAHRE´ 3 ´30-44 JAHRE´ 4 ´45-59 JAHRE´ 5 ´60-74 JAHRE´ 6 ´UEBER 74 JAHRE´ 9 ´KEINE ANGABE´
2017-1-11v3012018-9-14The value labels for v301 GEGENWAERTIGER EHEPARTNER: ALTER, KAT. were amended. The correct value labels are: 0 ´TRIFFT NICHT ZU´ 1 ´UNTER 18 JAHRRE´ 2 ´18-29 JAHRE´ 3 ´30-44 JAHRE´ 4 ´45-59 JAHRE´ 5 ´60-74 JAHRE´ 6 ´UEBER 74 JAHRE´ 9 ´KEINE ANGABE´

Further Remarks

Number of Units: 3471
Number of Variables: 518
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.