GESIS - DBK - ZA6837

ZA6837: GLES Tracking September 2019, T44

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List of Files

List of Files


  • (Dataset) 2 KBytes
  • ZA6837_missing.sps (Dataset) 1 KByte
  • ZA6837_v1-0-0.dta (Dataset Stata) 1 MByte
  • ZA6837_v1-0-0.sav (Dataset SPSS) 1018 KBytes
  • ZA6837_v1-0-0_open-ended.csv (Dataset) 50 KBytes


  • ZA6837_fb.pdf (Questionnaire) 642 KBytes

Other Documents

  • ZA6837_sb.pdf (Study Description) 598 KBytes
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Bibliographic Citation

Citation Citation GLES (2020): GLES Tracking September 2019, T44. GESIS Data Archive, Cologne. ZA6837 Data file Version 1.0.0,
Study No.ZA6837
TitleGLES Tracking September 2019, T44
Current Version1.0.0, 2020-5-6,
Date of Collection13.09.2019 - 27.09.2019
Principal Investigator/ Authoring Entity, Institution
  • Debus, Marc - Universität Mannheim
  • Faas, Thorsten - Freie Universität Berlin
  • Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main
  • Schoen, Harald - Universität Mannheim
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main - ProjectLeader
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectLeader
  • Bauer, Irina - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Dietz, Melanie - Goethe-Universität Frankfurt am Main - ProjectMember
  • Scherer, Philipp - Goethe-Universität Frankfurt am Main - ProjectMember
  • Stövsand, Lars-Christopher - Goethe-Universität Frankfurt am Main - ProjectMember
  • Jungmann, Nils - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator


Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were eligible to vote in the German federal election when the survey was conducted, i.e. all persons with German citizenship who had reached the age of 18 at the time the study was carried out. Due to the fact that this was an online survey not everybody who was eligible to vote had a chance to get selected for this Online Tracking. Therefore the frame population comprises only active participants of the Online-Access-Panel conducted by Respondi AG who were German citizens and who had reached the age of 18. The Respondi panel contained 65,000 to 70,000 members at the end of 2016. After completing a double opt-in registration procedure and filling in their master data, Respondi panel members are considered active, when they participated in at least one survey in the past three months.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorGESIS – Leibniz Institute for the Social Sciences
Date of Collection
  • 13.09.2019 - 27.09.2019

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-5-6 first archive edition
Errata in current version
Version changes

Further Remarks

Number of Units: 1077
Number of Variables: 384
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.