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metadata language: German English

Pretest 2017 (GLES)

Resource Type
Dataset : Survey and aggregate data
  • GLES
Publication Date
  • Roßteutscher, Sigrid (Universität Frankfurt) (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)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Project Leader)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Project Manager)
  • Universität Frankfurt (Project Member)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Project Member)
  • Universität Mannheim (Project Member)
  • Universität Mannheim (Project Member)
  • Wissenschaftszentrum Berlin für Sozialforschung (Project Member)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
Temporal Coverage
  • 2017-05-15 / 2017-05-22
Geographic Coverage
  • Germany (DE)
Sampled Universe
The target population of the Pretest comprises all citizens of North Rhine-Westphalia who were eligible to vote in the election to the German Bundestag on September 24, 2017. Due to conducting the study online, it was not possible to carry out a random sample. Thus, the frame population is restricted to North Rhine-Westphalian citizens eligible to vote who were members of the Online-Access-Panel conducted by Respondi AG. 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 a survey in the past three months.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 834
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
  • ZA6821 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2020-10-21 | Issue Number: 15 | Registration Date: 2018-07-04

GLES (2018): Pretest 2017 (GLES). Version: 1.0.0. GESIS Datenarchiv. Dataset.