GESIS - DBK - ZA5323
 

ZA5323: Long-Term Media Agenda Analysis (GLES)

Downloads and Data Access


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ZA5323 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5323_v2-0-0.dta (Dataset Stata) 15 MBytes
  • ZA5323_v2-0-0.sav (Dataset SPSS) 13 MBytes

Other Documents

  • ZA5323_Diktionaer_v2-0-0.pdf (Other Document) 233 KBytes
  • ZA5323_Korrespondenzliste_v2-0-0.pdf (Other Document) 29 KBytes
  • ZA5323_mb_v2-0-0.pdf (Method Report) 321 KBytes
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Bibliographic Citation

Citation Citation GLES (2014): Long-Term Media Agenda Analysis (GLES). GESIS Data Archive, Cologne. ZA5323 Data file Version 2.0.0, https://doi.org/10.4232/1.11866
Study No.ZA5323
TitleLong-Term Media Agenda Analysis (GLES)
Current Version2.0.0, 2014-3-19, https://doi.org/10.4232/1.11866
Date of Collection05.10.2009 - 05.12.2013
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Scherer, Philipp - Universität Frankfurt - ProjectManager
  • Bieber, Ina - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Bytzek, Evelyn - Universität Frankfurt - ProjectMember
  • Blumenberg, Manuela - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections

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
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorGoethe University Frankfurt am Main
Date of Collection
  • 05.10.2009 - 05.12.2013

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2014-3-19 Release2-0-0 https://doi.org/10.4232/1.11866
1.0.02013-4-17 Pre-Release 1-0-0 https://doi.org/10.4232/1.11606
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 23027
Number of Variables: 453
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.