GESIS - DBK - ZA6811
 

ZA6811: TV Debate Analysis, Content Analysis TV Debate (GLES 2017)

Downloads and Data Access


Downloads

Data access

Datasets

sortsort


Codebooks

sortsort


Other Documents

sortsort

Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart. Charges apply! Please respect our Terms of use.


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 TV Debate (GLES 2017). GESIS Data Archive, Cologne. ZA6811 Data file Version 1.0.0, https://doi.org/10.4232/1.13257
Study No.ZA6811
TitleTV Debate Analysis, Content Analysis TV Debate (GLES 2017)
Current Version1.0.0, 2019-4-8, https://doi.org/10.4232/1.13257
Date of Collection03.09.2017 - 03.09.2017
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 debate
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
  • 03.09.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2019-4-8 first archive edition https://doi.org/10.4232/1.13257
Errata in current version
none
Version changes

Further Remarks

Number of Units: 1070
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.