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Longterm-Online-Tracking, Cumulation 2009-2017 (GLES)

Resource Type
  • 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)
  • Stövsand, Lars-Christopher (Universität Frankfurt)
  • Bühler, Pascal (Universität Frankfurt)
  • Ehmes, Sven (Universität Frankfurt)
  • Dietz, Melanie (Universität Frankfurt)
  • Scherer, Philipp (Universität Frankfurt)
Publication Date
  • Bamberger Centrum für Empirische Studien (BACES) LINK Institut für Markt- und Sozialforschung, Frankfurt am Main Forsa.main Marktinformationssysteme GmbH, Frankfurt am Main (Data Collector)
Temporal Coverage
  • 2009-09-18 / 2017-12-15
Geographic Coverage
  • Germany (DE)
Sampled Universe
The 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 chance 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 respective access panel (until T16: Respondi AG, T17-T32: LINK, T33-T38: forsa omninet), who had a minimum age of 18 years. Active Panel members had been recruited by phone, had filled out a basic questionnaire and had participated in at least one survey within the last twelve months.
Sampling was based on a primarily defined ratio schedule (sex, age, education). Care is taken to ensure that panel members are only allowed to participate once a year in an Online Tracking of the GLES.
Collection Mode
  • Online Survey with standardized questionnaires
Data and File Information
  • Number of Variables: 1943
A - Data and documents are released for academic research and teaching.
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see
Alternative Identifiers
  • ZA6832 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2019-11-14 | Issue Number: 2 | Registration Date: 2019-11-14

Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof et. al. (2019): Langfrist-Online-Tracking, Kumulation 2009-2017 (GLES). Version: 1.0.0. GESIS Datenarchiv. Dataset.