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metadata language: German English

GLES Tracking September 2020, T47

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • GLES
Publication Date
2020-11-06
Contributor
  • Debus, Marc (Universität Mannheim) (Researcher)
  • Faas, Thorsten (Freie Universität Berlin) (Researcher)
  • Roßteutscher, Sigrid (Goethe-Universität Frankfurt am Main) (Researcher)
  • Schoen, Harald (Universität Mannheim) (Researcher)
  • GESIS – Leibniz Institute for the Social Sciences (Data Collector)
  • Goethe-Universität Frankfurt am Main (Project Leader)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Project Leader)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Project Manager)
  • Goethe-Universität Frankfurt am Main (Project Member)
  • Goethe-Universität Frankfurt am Main (Project Member)
  • Goethe-Universität Frankfurt am Main (Project Member)
  • GESIS – Leibniz-Institut für Sozialwissenschaften (Data Curator)
Language
German
Temporal Coverage
  • 2020-09-11 / 2020-09-18
Geographic Coverage
  • Germany (DE)
Sampled Universe
The 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.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 420
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
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 https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA6841 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2020-11-09 | Issue Number: 2 | Registration Date: 2020-11-07

GLES (2020): GLES Tracking September 2020, T47. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13626