GESIS - DBK - ZA6844
 

ZA6844: Content Analysis of Parties’ Press Releases in the German Federal Election Campaigns 2009 and 2013

Downloads and Data Access


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ZA6844 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6844_de_v1-0-0.dta (Dataset Stata) 979 KBytes
  • ZA6844_de_v1-0-0.sav (Dataset SPSS) 978 KBytes
  • ZA6844_en_v1-0-0.dta (Dataset Stata) 992 KBytes
  • ZA6844_en_v1-0-0.sav (Dataset SPSS) 988 KBytes

Other Documents

  • ZA6844_mb.pdf (Method Report) 586 KBytes
  • ZA6844_mr.pdf (Method Report) 602 KBytes
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Bibliographic Citation

Citation Citation GLES (2020): Content Analysis of Parties’ Press Releases in the German Federal Election Campaigns 2009 and 2013. GESIS Data Archive, Cologne. ZA6844 Data file Version 1.0.0, https://doi.org/10.4232/1.13437
Study No.ZA6844
TitleContent Analysis of Parties’ Press Releases in the German Federal Election Campaigns 2009 and 2013
Current Version1.0.0, 2020-2-18, https://doi.org/10.4232/1.13437
Date of Collection01.06.2009 - 21.09.2013
Principal Investigator/ Authoring Entity, Institution
  • Schmitt-Beck, Rüdiger - Universität Mannheim
Contributor, Institution, Role
  • Schmidt, Sebastian - Universität Mannheim - ProjectManager
  • Krewel, Mona - Universität Mannheim - ProjectMember
  • Schäfer, Anne - Universität Mannheim - ProjectMember
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator

Methodology

Geographic Coverage
  • Germany (DE)
UniverseAll press releases published in the period of observation by the federal associations of the parties (CDU, CSU, SPD, FDP, Bündnis 90/ Die Grünen, Die Linke and AfD) were included in the analysis.
Analysis Unit Analysis Unit
  • Text Unit
Sampling Procedure Sampling Procedure
  • Total universe/Complete enumeration
Full sample survey
Mode of Collection Mode of Collection
  • Content coding
Content analysis
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorMannheim Center for European Social Research (MZES), University of Mannheim
Date of Collection
  • 01.06.2009 - 26.09.2009
  • 01.06.2013 - 21.09.2013

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-2-18 first archive edition https://doi.org/10.4232/1.13437
Errata in current version
none
Version changes

Further Remarks

Number of Units: 2576
Number of Variables: 108
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.