GESIS - DBK - ZA5254
 

ZA5254: ALLBUS/GGSS 2016 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2016): Supplementary Data Set Open Question ´Foreigners´

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List of Files

List of Files
 

Datasets

  • ZA5254_v1-0-0.dta (Dataset Stata) 4 MBytes
  • ZA5254_v1-0-0.sav (Dataset SPSS) 2 MBytes

Codebooks

  • ZA5254_cdb.pdf (Codebook) 550 KBytes

Other Documents

  • ZA5254_mb.pdf (Method Report) 554 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation Stefan Bauernschuster; Andreas Diekmann; Andreas Hadjar; Karin Kurz; Ulrich Rosar; Ulrich Wagner; Bettina Westle (2018): ALLBUS/GGSS 2016 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2016): Supplementary Data Set Open Question ´Foreigners´. GESIS Data Archive, Cologne. ZA5254 Data file Version 1.0.0, https://doi.org/10.4232/1.13035
Study No.ZA5254
TitleALLBUS/GGSS 2016 (Allgemeine Bevölkerungsumfrage der Sozialwissenschaften/German General Social Survey 2016): Supplementary Data Set Open Question ´Foreigners´
Current Version1.0.0, 2018-7-23, https://doi.org/10.4232/1.13035
Date of Collection06.04.2016 - 18.09.2016
Principal Investigator/ Authoring Entity, Institution
  • Stefan Bauernschuster - Universität Passau
  • Andreas Diekmann - ETH-Zentrum Zürich
  • Andreas Hadjar - Universität Luxemburg
  • Karin Kurz - Universität Göttingen
  • Ulrich Rosar - Universität Düsseldorf
  • Ulrich Wagner - Universität Marburg
  • Bettina Westle - Universität Marburg

Content

AbstractThis data set contains data in connection with an open question fielded as part of ALLBUS 2016 that could not be included in the regular scientific use file. In this question, respondents were asked which groups they associated with the the phrase ´foreigners living in Germany´ (´in Deutschland lebende Ausländer´). The question was only surveyed with respondents who were German citizens. This data set documents the full responses for all respondents as well as a categorization of all discrete answer parts according to a specially developed coding scheme (comp. Wasmer, Kwasniok and Kialunda (2018)). Additionally, this data set contains some basic identification variables, demographic characteristics and weights. 1.) Id-variables dataset: study-number, doi, version 2.) Id-variables respondent: respondent Id 3.) Sociodemographic basics: age, gender, German citizenship, interview in east or west Germay 4.) Answers to open question: complete response, response 1 to 17 (complete response split into discrete parts), numeric code for response 1 to 17, coding of response 1 to 17 to geographic regions 5.) Weights: east-west design weight, transformation weight for analyses on household level

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). 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 inter-view were treated as systematic unit non-responses.
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
Personal, oral interview with standardized questionnaire (CAPI – Computer Assisted Personal Inter-viewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (split questionnaire design).
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorTNS Infratest, Munich
Date of Collection
  • 06.04.2016 - 18.09.2016

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2018-7-23 first archive edition https://doi.org/10.4232/1.13035
Errata in current version
DateSubjectDescription
2018-8-7Coding error:respid=1550: No 11th response in answer_11, but valid codes in code_11 and region_11. Variables code_11 and region_11 should be recoded to -10 ´NAP´ for this case.
Version changes

Further Remarks

Links
NotesRespondents from the area of the new federal states are oversampled. Weighting variables to correct this oversample are included in this data set. A Digital Object Identifier (DOI) for use in data citations is supplied as part of the data set.
Number of Units: 3490
Number of Variables: 64
Analysis System(s): SPSS, Stata

Publications

Publications
  • Wasmer, Martina, Silke Kwasniok und Annette Kialunda 2018: Welche Gruppen werden mit der Formulierung „in Deutschland lebende Ausländer“ assoziiert? Entwicklung eines Kategorienschemas zu einer offenen Frage im ALLBUS 2016, GESIS Papers 2018|12, Mannheim: GESIS.
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.