GESIS - DBK - ZA6821
 

ZA6821: Pretest 2017 (GLES)

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Bibliographic Citation

Citation Citation    Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof (2018): Pretest 2017 (GLES). GESIS Data Archive, Cologne. ZA6821 Data file Version 1.0.0, https://doi.org/10.4232/1.13057
Study No.ZA6821
TitlePretest 2017 (GLES)
Current Version1.0.0, 2018-7-4, https://doi.org/10.4232/1.13057
Date of Collection15.05.2017 - 22.05.2017
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

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe target population of the Pretest comprises all citizens of North Rhine-Westphalia who were eligible to vote in the election to the German Bundestag on September 24, 2017. Due to conducting the study online, it was not possible to carry out a random sample. Thus, the frame population is restricted to North Rhine-Westphalian citizens eligible to vote who were members of the Online-Access-Panel conducted by Respondi AG. The Respondi panel contained 65.000 to 70.000 members at the end of 2016. After completing a double opt-in registration procedure and filling in their master data, Respondi panel members are considered active, when they participated in a survey in the past three months.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Quota sampling of the frame population of the Online-Access-Panels by age, sex and education.
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Online Survey with standardized questionnaire
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorGESIS - Leibniz-Institute for the Social Sciences
Date of Collection
  • 15.05.2017 - 22.05.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2018-7-4 first archive edition https://doi.org/10.4232/1.13057
Errata in current version
none
Version changes

Further Remarks

Number of Units: 1847
Number of Variables: 834
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.