GESIS - DBK - ZA5750
 

ZA5750: Long-term Online-Tracking, Cumulation 2009-2014, Module questions (GLES)

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Bibliographic Citation

Citation Citation    Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard; Wolf, Christof; Henckel, Simon; Bieber, Ina; Scherer, Philipp (2016): Long-term Online-Tracking, Cumulation 2009-2014, Module questions (GLES). GESIS Data Archive, Cologne. ZA5750 Data file Version 1.1.0, https://doi.org/10.4232/1.12630
Study No.ZA5750
TitleLong-term Online-Tracking, Cumulation 2009-2014, Module questions (GLES)
Current Version1.1.0, 2016-9-12, https://doi.org/10.4232/1.12630
Date of Collection2009 - 2014
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
  • Henckel, Simon - Universität Frankfurt
  • Bieber, Ina - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt

Content

Topics Topics
  • 5.8 Social behaviour and attitudes
  • 9.1 Information society
  • 9.2 Mass media
  • 11.2 International politics and organisation
  • 11.3 Conflict, security and peace
  • 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 eligible to vote when the survey was conducted . Due to the fact that this was an online survey not everybody who was eligible to vote had a probability to get selected for this Online Tracking. Therefore the population comprises all persons with German citizenship resident in the Federal Republic of Germany and being part of the Respondi-Access-Panel (T6,8-16) or LINK Internet Panel (T17-), who had a minimum age of 18 years, who lived in Germany and used at least once a week the Internet for private reasons.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Sampling was based on a primary defined ratio schedule (sex, age, education). Moreover it was paid heed to the fact that Panel members are only allowed to participate once a year in an Online Tracking of GLES study.
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Online Survey with standardized questionnaires
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorTracking 6,8-16: Bamberg Center for Empirical Studies (BACES), Bamberg Tracking T17-: LINK Institute for Market and Social Science Research, Frankfurt am Main
Date of Collection
  • 2009 - 2014

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2016-9-12 Release1-1-0 https://doi.org/10.4232/1.12630
1.0.02015-12-16 Release1-0-0 https://doi.org/10.4232/1.12420
Errata in current version
none
Version changes
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-9-12Respondents answers of Tracking 8 in variable m3441a-h_1 "Social Networks: Own contributions" had been wrongly transfered and were therefore false. This has been corrected. 2016-9-12

Further Remarks

Links
Number of Units: 19704
Number of Variables: 466
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.