GESIS - DBK - ZA6816
 

ZA6816: Longterm-Online-Tracking, T36 (GLES)

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Bibliographic Citation

Citation Citation    Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald ; Weßels, Bernhard; Wolf, Christof; Henckel, Simon; Bieber, Ina; Dietz, Melanie; Scherer, Philipp (2017): Longterm-Online-Tracking, T36 (GLES). GESIS Data Archive, Cologne. ZA6816 Data file Version 1.0.0, https://doi.org/10.4232/1.12872
Study No.ZA6816
TitleLongterm-Online-Tracking, T36 (GLES)
Current Version1.0.0, 2017-9-4, https://doi.org/10.4232/1.12872
Date of Collection16.06.2017 - 30.06.2017
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
  • Henckel, Simon - Universität Frankfurt
  • Bieber, Ina - Universität Frankfurt
  • Dietz, Melanie - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were eligible to vote at the time the survey was conducted. Due to the fact that this is 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 who are part of the forsa omninet, who have a minimum age of 18 years, who live in Germany and use the Internet at least once a week for private purposes. At the time the study was conducted, this group comprised nearly 75000 active Panel members. Active Panel members were recruited exclusively by phone, filled out a basic questionaire and attended 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 primarily defined quota (sex, age, education). Moreover, precautions were taken to ensure that Panel members participate only once a year in an Online Tracking of the 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
  • 16.06.2017 - 30.06.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2017-9-4 first archive edition https://doi.org/10.4232/1.12872
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 1084
Number of Variables: 541
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.