GESIS - DBK - ZA5336
 

ZA5336: Long-term Online Tracking, T3 (GLES 2009)

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Datasets

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  • ZA5336_v4-0-0.dta (Dataset Stata) 2 MBytes
  • ZA5336_v4-0-0.sav (Dataset SPSS) 2 MBytes

Questionnaires

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  • ZA5336_fb_v4-0-0.pdf (Questionnaire) 501 KBytes

Other Documents

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  • ZA5300-57_GLES_Doku_insgesamt.zip (Other Document) 2 MBytes
  • ZA5336_Aenderungen_v1-2-0_zu_v4-0-0.pdf (Other Document) 20 KBytes
  • ZA5336_sb_v4-0-0.pdf (Study Description) 304 KBytes
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Bibliographic Citation

Citation Citation GLES (2011): Long-term Online Tracking, T3 (GLES 2009). GESIS Data Archive, Cologne. ZA5336 Data file Version 4.0.0, https://doi.org/10.4232/1.10390
Study No.ZA5336
TitleLong-term Online Tracking, T3 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version4.0.0, 2011-2-28, https://doi.org/10.4232/1.10390
Date of Collection03.07.2009 - 13.07.2009
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
  • Rattinger, Hans - Universität Mannheim - ProjectLeader
  • Bieber, Ina - Universität Frankfurt - ProjectManager
  • Rudi, Tatjana - GESIS - Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Steinbrecher, Markus - Universität Mannheim - ProjectMember
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 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. 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
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBamberg Center for Empirical Studies (BACES)
Date of Collection
  • 03.07.2009 - 13.07.2009

Errata & Versions

VersionDate, Name, DOI
4.0.0 (current version)2011-2-28 Pre-Release1.3 https://doi.org/10.4232/1.10390
3.0.02010-3-8 Pre-Release1.2 https://doi.org/10.4232/1.10389
2.0.02009-11-4 Pre-Release1.1 https://doi.org/10.4232/1.10388
1.0.02009-10-2 Pre-Release1.0 https://doi.org/10.4232/1.10387
Errata in current version
none
Version changes
Changes between version 4.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2011-2-28Variable wahlkreis (information on respondents’ electoral district) has been added to the data set.--
2011-2-28Due to calculation mistakes negative values occurred in response time variables t_W35b, tW_32 and t_A31. The mistakes have been corrected.--
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2010-3-8Optimization of the data set (to ensure, inter alia, improved compatibility between SPSS and Stata).--
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2009-11-4The codes 84 (“keine Partei”, “no party”) and 85 (“alle Parteien gleich gut”, “all parties equally well”) of variables a04 and a06 ("Wichtigstes Problem", “most important problem” and "Zweitwichtigstes Problem", “second most important problem”) were mixed up.--
2009-11-4Creation of flag variable for problematic or implausible values and creation of comment variable (variables: Probflag, Probkomm). --
2009-11-4Adding and alterations of value labels and variable labels (no substantial changes).--

Further Remarks

Links
Number of Units: 1133
Number of Variables: 759
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.