My da|ra Login

Detailed view

metadata language: German English

Long-term Online Tracking, T32 (GLES)

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • GLES
Publication Date
2016-09-07
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)
Language
German
Classification
  • CESSDA Topic Classification:
    • Migration
    • Mass media
    • International politics and organisation
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
    • Elections
    • Economic policy
    • Economic systems and development
Temporal Coverage
  • 2016-06-03 / 2016-06-17
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. In this survey only members of the former LINK Internet Panel were included of the forsa omninet. This group comprised nearly 43000 active Panel members. Panel members were recruited exclusively by phone.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Number of Variables: 527
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
  • ZA5732 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2020-10-21 | Issue Number: 19 | Registration Date: 2016-09-07

GLES (2016): Langfrist-Online-Tracking T32 (GLES). Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.12625