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metadata language: German English

Long-term Online Tracking, T16 (GLES 2009)

Version
2.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • GLES
Other Title
  • German Longitudinal Election Study (Alternative Title)
Publication Date
2015-05-06
Contributor
  • Rattinger, Hans (Universität Mannheim) (Researcher)
  • Roßteutscher, Sigrid (Universität Frankfurt) (Researcher)
  • Schmitt-Beck, Rüdiger (Universität Mannheim) (Researcher)
  • Weßels, Bernhard (Wissenschaftszentrum Berlin für Sozialforschung) (Researcher)
  • Bieber, Ina (Universität Frankfurt) (Researcher)
  • Scherer, Philipp (Universität Frankfurt) (Researcher)
  • Bamberg Center for Empirical Studies (BACES) (Data Collector)
  • Universität Frankfurt (Project Leader)
  • Universität Frankfurt (Project Manager)
  • Universität Frankfurt (Project Member)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
  • GESIS - Leibniz-Institut für Sozialwissenschaften (Data Curator)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
    • Elections
    • Economic policy
    • Economic systems and development
Temporal Coverage
  • 2011-12-08 / 2011-12-18
Geographic Coverage
  • Germany (DE)
Sampled Universe
The population comprises all German citizens who were at least 18 years old and participated at the Online-Access-Panel by Respondi AG. This panel comprised in 2011 nearly 100000 active members. Recruitment primary works online but also by phone.
Time Dimension
  • Cross-section
Collection Mode
  • Self-administered questionnaire: Web-based
Data and File Information
  • Unit Type: Individual
    Number of Units: 1114
    Number of Variables: 681
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
  • ZA5349 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)
Relations
  • Is new version of
    DOI: 10.4232/1.11091

Update Metadata: 2020-10-21 | Issue Number: 19 | Registration Date: 2015-05-07

GLES (2015): Langfrist-Online-Tracking, T16 (GLES 2009). Version: 2.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.12229