GESIS - DBK - ZA5709
 

ZA5709: TV Debate Analysis, Survey (GLES 2013)

Downloads and Data Access


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ZA5709 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5709_missing_v3-0-0.do (Dataset) 2 KBytes
  • ZA5709_v3-0-0.dta (Dataset Stata) 3 MBytes
  • ZA5709_v3-0-0.sav (Dataset SPSS) 2 MBytes

Questionnaires

  • ZA5709_fb_v3-0-0.pdf (Questionnaire) 3 MBytes

Other Documents

  • ZA5709-12_sb.pdf (Study Description) 363 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2015): TV Debate Analysis, Survey (GLES 2013). GESIS Data Archive, Cologne. ZA5709 Data file Version 3.0.0, https://doi.org/10.4232/1.12287
Study No.ZA5709
TitleTV Debate Analysis, Survey (GLES 2013)
Current Version3.0.0, 2015-7-8, https://doi.org/10.4232/1.12287
Date of Collection01.09.2013 - 23.10.2013
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Faas, Thorsten - Universität Mannheim - ProjectLeader
  • Maier, Jürgen - Universität Koblenz-Landau - ProjectLeader
  • Maier, Michaela - Universität Koblenz-Landau - ProjectLeader
  • Blumenberg, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.5 Economic policy
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Germany (DE)
UniversePeople eligible to vote at the federal election 2013
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Availability
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Paper
Time Method Time Method
  • Longitudinal: Panel
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorThis study was conducted by Prof. Dr. Thorsten Faas (Universität Mainz), Prof. Dr. Jürgen Maier (Universität Koblenz-Landau) and Prof. Dr. Michaela Maier (Universität Koblenz-Landau) at Koblenz, Landau/Pfalz und Mainz.
Date of Collection
  • 01.09.2013 - 23.10.2013

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2015-7-8 Release3-0-0 https://doi.org/10.4232/1.12287
2.0.02014-12-17 Release2-0-0 https://doi.org/10.4232/1.12142
1.0.02014-6-13 Release1-0-0 https://doi.org/10.4232/1.11942
Errata in current version
none
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-7-8Coded answers to the most, second and third important issue (a27as-cs, b27as-cs, c27as-cs, d27as-cs) have been added.2015-7-8
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-12-17The code 7 has been added to the variable "bedingung". Furthermore, value labels were adjusted to the new code.2014-12-17
2014-12-17One particiant was assigned his school certificate ("a45", code 5).2014-12-17
2014-12-17Given answers by one participant (match-id KO-E-22) have been corrected.2014-12-17
2014-12-17One participant (match-id KO-D-04) was deleted from the dataset.2014-12-17
2014-12-17Variable and value labels have been corrected.2014-12-17

Further Remarks

Links
Number of Units: 268
Number of Variables: 576
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.