GESIS - DBK - ZA6839

ZA6839: GLES Tracking January 2020, T45

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ZA6839 Downloads and Data Access

List of Files

List of Files


  • (Dataset) 2 KBytes
  • ZA6839_missing.sps (Dataset) 1 KByte
  • ZA6839_v1-0-0.dta (Dataset Stata) 935 KBytes
  • ZA6839_v1-0-0.sav (Dataset SPSS) 877 KBytes
  • ZA6839_v1-0-0_open-ended.csv (Dataset) 49 KBytes


  • ZA6839_fb.pdf (Questionnaire) 602 KBytes

Other Documents

  • ZA6839_sb.pdf (Study Description) 695 KBytes
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Bibliographic Citation

Citation Citation GLES (2020): GLES Tracking January 2020, T45. GESIS Data Archive, Cologne. ZA6839 Data file Version 1.0.0,
Study No.ZA6839
TitleGLES Tracking January 2020, T45
Current Version1.0.0, 2020-6-8,
Date of Collection10.01.2020 - 24.01.2020
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
  • Blumenberg, Manuela - 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 of the GLES tracking consists of citizens of the Federal Republic of Germany who were eligible to vote in elections to the German Bundestag at the time of the survey, i.e. German citizens who had reached the age of 18 at the time of the survey. Since the data was collected using computer-aided web interviews (CAWI), not all citizens who were eligible to participate also had a chance different from zero of being selected for the survey. The frame population therefore only includes active participants in the Online-Access-Panel operated by respondi AG who were German citizens and who had reached the age of 18 at the time the study was conducted.
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
  • 10.01.2020 - 24.01.2020

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-6-8 first archive edition
Errata in current version
2020-6-8Error in time variables zstart-zendThe time that respondents needed to view and edit the single pages of the survey is calculated from the cumulated times recorded by the server. Due to unknown reasons, the time was incorrectly recorded on some pages. If this made the correct calculation of the time variables zstart-zend impossible, the time for viewing and editing a page was coded as -92 "Error in data".
Version changes

Further Remarks

Number of Units: 1100
Number of Variables: 386
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.