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metadata language: German English

Longterm-Online-Tracking T38 (GLES)

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • GLES
Publication Date
2018-03-29
Contributor
  • Roßteutscher, Sigrid (Universität Frankfurt) (Researcher)
  • Schmitt-Beck, Rüdiger (Universität Mannheim) (Researcher)
  • Schoen, Harald (Universität Mannheim) (Researcher)
  • Weßels, Bernhard (Wissenschaftszentrum Berlin für Sozialforschung) (Researcher)
  • Wolf, Christof (GESIS - Leibniz-Institut für Sozialwissenschaften) (Researcher)
  • Forsa.main Marktinformationssysteme GmbH, Frankfurt am Main (Data Collector)
  • Universität Frankfurt (Project Leader)
  • Universität Frankfurt (Project Manager)
  • Universität Frankfurt (Project Member)
  • Universität Frankfurt (Project Member)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
Language
German
Temporal Coverage
  • 2017-12-01 / 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 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.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 538
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
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 https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA6818 (Type: ZA-No.)

Update Metadata: 2020-10-21 | Issue Number: 16 | Registration Date: 2018-03-29

GLES (2018): Langfrist-Online-Tracking T38 (GLES). Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13009