GESIS - DBK - ZA6829
 

ZA6829: TV Debate Analysis, Content Analysis Fünfkampf (GLES 2017)

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Bibliographic Citation

Citation Citation Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof; Faas, Thorsten; Maier, Jürgen; Maier, Michaela (2019): TV Debate Analysis, Content Analysis Fünfkampf (GLES 2017). GESIS Data Archive, Cologne. ZA6829 Data file Version 1.0.0, https://doi.org/10.4232/1.13260
Study No.ZA6829
TitleTV Debate Analysis, Content Analysis Fünfkampf (GLES 2017)
Current Version1.0.0, 2019-4-8, https://doi.org/10.4232/1.13260
Date of Collection04.09.2017 - 04.09.2017
Principal Investigator/ Authoring Entity, Institution
  • 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

Methodology

Geographic Coverage
  • Germany (DE)
Analysis Unit Analysis Unit
  • Text Unit
Sampling Procedure Sampling Procedure
  • Non-probability: Purposive
Mode of Collection Mode of Collection
  • Content coding
Content analysis of the 2017 TV-Fünfkampf
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorThis 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.
Date of Collection
  • 04.09.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2019-4-8 first archive edition https://doi.org/10.4232/1.13260
Errata in current version
none
Version changes

Further Remarks

Number of Units: 682
Number of Variables: 55
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  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.