GESIS - DBK - ZA5314
 

ZA5314: TV Debate Analysis, Content Analyses Regional Newspapers (Statements TV Debate) (GLES 2009)

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Bibliographic Citation

Citation Citation    Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard; Brettschneider, Frank; Faas, Thorsten; Maier, Jürgen; Maier, Michaela (2011): TV Debate Analysis, Content Analyses Regional Newspapers (Statements TV Debate) (GLES 2009). GESIS Data Archive, Cologne. ZA5314 Data file Version 1.0.0, https://doi.org/10.4232/1.10374
Study No.ZA5314
TitleTV Debate Analysis, Content Analyses Regional Newspapers (Statements TV Debate) (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version1.0.0, 2011-3-18, https://doi.org/10.4232/1.10374
Date of Collection31.08.2009 - 19.09.2009
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Brettschneider, Frank - Universität Hohenheim
  • Faas, Thorsten - Universität Mannheim
  • Maier, Jürgen - Universität Koblenz-Landau
  • Maier, Michaela - Universität Koblenz-Landau

Content

Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 9.2 Mass media
  • 11.7 Elections

Methodology

Geographic Coverage
  • Germany (DE)
UniverseArticles with statements concerning TV debate, published in a regional newspaper which is read near the locations in which the experiment concerning TV debate was conducted: Stuttgarter Zeitung, Stuttgarter Nachrichten, Rheinpfalz, Mannheimer Morgen, Ostthüringer Zeitung, Thüringische Landeszeitung und Thüringer Allgemeine.
Analysis Unit Analysis Unit
  • Text Unit
Sampling Procedure Sampling Procedure
  • Non-probability: Purposive
Mode of Collection Mode of Collection
  • Content coding
Content Analysis of articles in regional newspapers.
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBrettschneider, Frank; University of Hohenheim Faas, Thorsten; University of Mannheim Maier, Jürgen; University of Koblenz-Landau Maier, Michaela; University of Koblenz-Landau
Date of Collection
  • 31.08.2009 - 19.09.2009

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2011-3-18 Pre-Release1.0 https://doi.org/10.4232/1.10374
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 169
Number of Variables: 15
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.