GESIS - DBK - ZA6818
 

ZA6818: Longterm-Online-Tracking T38 (GLES)

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Bibliographic Citation

Citation Citation    Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof; Dietz, Melanie; Scherer, Philipp; Stövsand, Lars-Christopher (2018): Longterm-Online-Tracking T38 (GLES). GESIS Data Archive, Cologne. ZA6818 Data file Version 1.0.0, https://doi.org/10.4232/1.13009
Study No.ZA6818
TitleLongterm-Online-Tracking T38 (GLES)
Current Version1.0.0, 2018-3-29, https://doi.org/10.4232/1.13009
Date of Collection01.12.2017 - 15.12.2017
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
  • Dietz, Melanie - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt
  • Stövsand, Lars-Christopher - Universität Frankfurt

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 forsa omninet, who had a minimum age of 18 years, who lived in Germany and used at least once a week the Internet for private reasons. This group comprised nearly 75000 active Panel members. Active Panel members had been recruited exclusively by phone, had filled out a basic questionaire and had attended to at least one survey within the last twelve months.
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
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorForsa.main Marktinformationssysteme GmbH, Frankfurt am Main
Date of Collection
  • 01.12.2017 - 15.12.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2018-3-29 first archive edition https://doi.org/10.4232/1.13009
Errata in current version
DateSubjectDescription
2018-3-29Filter error t1014Nine respondents weren´t shown the question although they fulfill the filter criteria.
Version changes

Further Remarks

Number of Units: 1016
Number of Variables: 538
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
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Groups

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.