GESIS - DBK - ZA6834
 

ZA6834: Rolling Cross-Section Election Campaign Study with Post-election Panel Wave, Cumulation 2009-2017 (GLES)

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ZA6834 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6834_missing.do (Dataset) 2 KBytes
  • ZA6834_v1-0-0.dta (Dataset Stata) 29 MBytes
  • ZA6834_v1-0-0.sav (Dataset SPSS) 32 MBytes

Other Documents

  • ZA6834_sb.pdf (Study Description) 1 MByte
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Bibliographic Citation

Citation Citation Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof; Ellerbrock, Simon; Faas, Thorsten; Partheymüller, Julia; Staudt, Alexander (2019): Rolling Cross-Section Election Campaign Study with Post-election Panel Wave, Cumulation 2009-2017 (GLES). GESIS Data Archive, Cologne. ZA6834 Data file Version 1.0.0, https://doi.org/10.4232/1.13370
Study No.ZA6834
TitleRolling Cross-Section Election Campaign Study with Post-election Panel Wave, Cumulation 2009-2017 (GLES)
Current Version1.0.0, 2019-9-26, https://doi.org/10.4232/1.13370
Date of Collection29.07.2009 - 12.11.2017
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS – Leibniz-Institut für Sozialwissenschaften
  • Ellerbrock, Simon - Universität Mannheim
  • Faas, Thorsten - Universität Mannheim
  • Partheymüller, Julia - Universität Mannheim
  • Staudt, Alexander - Universität Mannheim

Methodology

Geographic Coverage
  • Germany (DE)
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
Mode of Collection Mode of Collection
  • Telephone interview: Computer-assisted (CATI)
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
Date of Collection
  • 29.07.2009 - 16.10.2009
  • 29.07.2013 - 03.11.2013
  • 24.07.2017 - 12.11.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2019-9-26 first archive edition https://doi.org/10.4232/1.13370
Errata in current version
DateSubjectDescription
2020-4-22Merging error pre5724The variables pre124 (RCS 2009) and pre121 (RCS 2013 & 2017) were wrongly merged. In 2009, only catholic and protestant respondents received a question on the frequency of their general church attendance. In 2013 and 2017, all respondents were asked about the frequency of attending ordinary worship.
Version changes

Further Remarks

Number of Units: 21540
Number of Variables: 883
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  German Longitudinal Election Study (GLES)
    The German Longitudinal Election Study (GLES) is a DFG-funded project which made its debut just prior to the 2009 federal election. GLES is the largest and most ambitious election study held so far in Germany. Although the initial mandate is to examine and analyse the electorate for three consecutive elections, the aspired goal is to integrate the project within GESIS as an institutionalized election study after the federal election of 2017, and hence to make it a permanent study.