GESIS - DBK - ZA5322

ZA5322: Long-term Panel 2009-2013-2017 (GLES 2013)

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ZA5322 Downloads and Data Access

List of Files

List of Files


  • (Dataset) 41 KBytes
  • ZA5322_RecodeMissings.sps (Dataset) 71 KBytes
  • ZA5322_v1-1-0.dta (Dataset Stata) 28 MBytes
  • ZA5322_v1-1-0.sav (Dataset SPSS) 26 MBytes


  • (Questionnaire) 6 MBytes
  • ZA5322_fb.pdf (Questionnaire) 4 MBytes

Other Documents

  • (Codeplan) 2 MBytes
  • (Codeplan) 138 KBytes
  • ZA5322_mb.pdf (Method Report) 3 MBytes
  • ZA5322_sb.pdf (Study Description) 2 MBytes
  • ZA5322_Variablensystematik_1994-2013.xlsx (Table) 10 MBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2016): Long-term Panel 2009-2013-2017 (GLES 2013). GESIS Data Archive, Cologne. ZA5322 Data file Version 1.1.0,
Study No.ZA5322
TitleLong-term Panel 2009-2013-2017 (GLES 2013)
Current Version1.1.0, 2016-9-9,
Date of Collection10.08.2009 - 11.12.2013
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS – Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Rattinger, Hans - Universität Mannheim - ProjectLeader
  • Blumenstiel, Jan Eric - Universität Mannheim - ProjectMember
  • Rudi, Tatjana - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Gummer, Tobias - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Topics Topics
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections


Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all persons who were german state residents,had a minimum age of 16 years and who lived in a German private household in 2009.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
  • Telephone interview: Computer-assisted (CATI)
  • Self-administered questionnaire: Paper
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Date of Collection
  • 10.08.2009 - 11.12.2013

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2016-9-9 Release1-1-0
1.0.02014-10-22 Release1-0-0
Errata in current version
Version changes
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-9-22Correction of variable labels: Participation variables h and iThe variable labels of the participation variables h and i were corrected.2016-9-22
2016-9-22Correction of variable labels: j69a/b, j70a/b (intention to vote and voting decision (first and second vote)) The variable labels of the cumulated variables regarding intention to vote and voting decision (first and second vote) in the federal election (wave j) were corrected (variables j69a, j69b, j70a, j70b).2016-9-22
2016-9-22Recoding of cases: jgebland_1 (country of birth)The coding of persons stating that they were born on the "former territory of the German Reich" in variable jgebland_1 was corrected.2016-9-22

Further Remarks

Number of Units: 4974
Number of Variables: 1670
Analysis System(s): SPSS, Stata


Relevant full texts
from SSOAR (automatically assigned)


Research Data Centre
  •  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.