GESIS - DBK - ZA5316

ZA5316: TV Debate Analysis, Content Analyses Special Broadcast (Statements TV Debate) (GLES 2009)

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ZA5316 Downloads and Data Access

List of Files

List of Files


  • ZA5316_v1-0-0.dta (Dataset Stata) 9 KBytes
  • ZA5316_v1-0-0.sav (Dataset SPSS) 12 KBytes

Other Documents

  • (Other Document) 2 MBytes
  • ZA5309-16_sb.pdf (Study Description) 502 KBytes
  • ZA5316_cp_v1-0-0.pdf (Codeplan) 232 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2011): TV Debate Analysis, Content Analyses Special Broadcast (Statements TV Debate) (GLES 2009). GESIS Data Archive, Cologne. ZA5316 Data file Version 1.0.0,
Study No.ZA5316
TitleTV Debate Analysis, Content Analyses Special Broadcast (Statements TV Debate) (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version1.0.0, 2011-3-18,
Date of Collection13.09.2009 - 13.09.2009
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
Contributor, Institution, Role
  • Brettschneider, Frank - Universität Hohenheim - ProjectLeader
  • Faas, Thorsten - Universität Mannheim - ProjectLeader
  • Maier, Jürgen - Universität Koblenz-Landau - ProjectLeader
  • Maier, Michaela - Universität Koblenz-Landau - ProjectLeader
  • Fürnberg, Ossip - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


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


Geographic Coverage
  • Germany (DE)
UniverseSpecial programs before and after TV debate which were shown in one of the four television transmitter who broadcasted the TV debate.
Analysis Unit Analysis Unit
  • Text Unit
Sampling Procedure Sampling Procedure
  • Non-probability: Purposive
Mode of Collection Mode of Collection
  • Content coding
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
  • 13.09.2009

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2011-3-18 Pre-Release1.0
Errata in current version
Version changes

Further Remarks

Number of Units: 110
Number of Variables: 14
Analysis System(s): SPSS, Stata


Relevant full texts
from SSOAR (automatically assigned)


Research Data Centre
  •  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.