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metadata language: German English

TV Debate Analysis, Real-Time-Response Data TV Debate (dial) (GLES 2017)

Version
1.0.0
Resource Type
Dataset
Creator
  • Roßteutscher, Sigrid (Universität Frankfurt)
  • Schmitt-Beck, Rüdiger (Universität Mannheim)
  • Schoen, Harald (Universität Mannheim)
  • Weßels, Bernhard (Wissenschaftszentrum Berlin für Sozialforschung)
  • Wolf, Christof (GESIS – Leibniz-Institut für Sozialwissenschaften)
  • Faas, Thorsten (Freie Universität Berlin)
  • Maier, Jürgen (Universität Koblenz-Landau)
  • Maier, Michaela (Universität Koblenz-Landau)
Publication Date
2019-04-08
Contributor
  • This study was conducted by Prof. Dr. Thorsten Faas (Johannes Gutenberg University Mainz), Prof. Dr. Jürgen Maier (University of Koblenz-Landau) and Prof. Dr. Michaela Maier (University of Koblenz-Landau) at Mainz and Landau. (Data Collector)
Language
German
Temporal Coverage
  • 2017-09-03
Geographic Coverage
  • Germany (DE)
Sampled Universe
German citizens who were eligible to vote in the 2017 German federal election at the time of the survey
Sampling
The self-recruited participants were selected using a quota plan.
Collection Mode
  • Real-time response measurement (Dial)
Data and File Information
  • Number of Variables: 5862
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
  • ZA6812 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2019-08-03 | Issue Number: 3 | Registration Date: 2019-04-08

Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof et. al. (2019): TV-Duell-Analyse, Real-Time-Response-Daten (dial) (GLES 2017). Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13258