GESIS - DBK - ZA5357
 

ZA5357: Long-term Online Tracking, Cumulation 2009-2011 (GLES)

Downloads and Data Access


On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA5357 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5357_v1-0-0.dta (Dataset Stata) 20 MBytes
  • ZA5357_v1-0-0.sav (Dataset SPSS) 29 MBytes

Questionnaires

  • ZA5357_fb.zip (Questionnaire) 4 MBytes

Other Documents

  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5357_sb.zip (Study Description) 3 MBytes
  • ZA5357_sb_v1-0-0.pdf (Study Description) 779 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation GLES (2012): Long-term Online Tracking, Cumulation 2009-2011 (GLES). GESIS Data Archive, Cologne. ZA5357 Data file Version 1.0.0, https://doi.org/10.4232/1.11389
Study No.ZA5357
TitleLong-term Online Tracking, Cumulation 2009-2011 (GLES)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version1.0.0, 2012-7-10, https://doi.org/10.4232/1.11389
Date of Collection18.09.2009 - 18.12.2011
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
  • Lamers, Patrick - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Prinz, Christian - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
  • Political Issues
  • Political Parties, Organizations
Topics Topics
  • 5.8 Social behaviour and attitudes
  • 9.2 Mass media
  • 11.2 International politics and organisation
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.4 Economic conditions and indicators
  • 17.5 Economic policy
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were at least 18 years old and participated at the Online-Access-Panel by Respondi AG. This panel comprised in 2009 nearly 65000 active members and in 2011 nearly 100000 active members. Recruitment primary works online but also by phone.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBamberg Center for Empirical Studies (BACES)
Date of Collection
  • 18.09.2009 - 27.09.2009
  • 10.12.2009 - 20.12.2009
  • 15.04.2010 - 23.04.2010
  • 24.06.2010 - 05.07.2010
  • 16.09.2010 - 26.09.2010
  • 09.12.2010 - 19.12.2010
  • 09.03.2011 - 19.03.2011
  • 23.05.2011 - 03.06.2011
  • 24.08.2011 - 03.09.2011
  • 08.12.2011 - 18.12.2011

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2012-7-10 https://doi.org/10.4232/1.11389
Errata in current version
none
Version changes

Further Remarks

Number of Units: 11409
Number of Variables: 1440
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.