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Longterm-Online-Tracking, T43 (GLES)

Resource Type
Dataset : Survey and aggregate data
  • GLES
Publication Date
  • Roßteutscher, Sigrid (Goethe-Universität Frankfurt am Main) (Researcher)
  • Schmitt-Beck, Rüdiger (Universität Mannheim) (Researcher)
  • Schoen, Harald (Universität Mannheim) (Researcher)
  • Weßels, Bernhard (Wissenschaftszentrum Berlin für Sozialforschung) (Researcher)
  • Wolf, Christof (GESIS – Leibniz-Institut für Sozialwissenschaften) (Researcher)
  • GESIS – Leibniz Institute for the Social Sciences (Data Collector)
  • Goethe-Universität Frankfurt am Main (Project Leader)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Project Leader)
  • Goethe-Universität Frankfurt am Main (Project Manager)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Project Manager)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Project Member)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Project Member)
  • Goethe-Universität Frankfurt am Main (Project Member)
  • Goethe-Universität Frankfurt am Main (Project Member)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Data Curator)
Temporal Coverage
  • 2019-05-10 / 2019-05-23
Geographic Coverage
  • Germany (DE)
Sampled Universe
The 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.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 407
A - Data and documents are released for academic research and teaching.
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see
Alternative Identifiers
  • ZA6833 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)
  • Is new version of
    DOI: 10.4232/1.13442

Update Metadata: 2020-08-19 | Issue Number: 1 | Registration Date: 2020-08-19

GLES (2020): Langfrist-Online-Tracking, T43 (GLES). Version: 1.1.0. GESIS Datenarchiv. Dataset.