GESIS - DBK - ZA5744
 

ZA5744: Longterm Online Tracking at State Election Mecklenburg-Western Pomerania 2016 (GLES)

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Bibliographic Citation

Citation Citation Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof; Henckel, Simon; Bieber, Ina; Scherer, Philipp (2016): Longterm Online Tracking at State Election Mecklenburg-Western Pomerania 2016 (GLES). GESIS Data Archive, Cologne. ZA5744 Data file Version 1.0.0, https://doi.org/10.4232/1.12674
Study No.ZA5744
TitleLongterm Online Tracking at State Election Mecklenburg-Western Pomerania 2016 (GLES)
Current Version1.0.0, 2016-11-14, https://doi.org/10.4232/1.12674
Date of Collection19.08.2016 - 03.09.2016
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
  • Henckel, Simon - Universität Frankfurt
  • Bieber, Ina - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt

Content

Topics Topics
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Mecklenburg-Western Pomerania (DE-MV)
UniverseThe 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 Mecklenburg-Western Pomerania and used at least once a week the Internet for private reasons. This group comprised nearly 1600 active Panel members of forsa omninet. 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.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Sampling was based on a primary defined ratio schedule (sex, age, education). Moreover it was paid heed to the fact that Panel members are only allowed to participate once a year in an Online Tracking of GLES study.
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Online Survey with standardized questionnaires
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorForsa.main Marktinformationssysteme GmbH, Frankfurt am Main
Date of Collection
  • 19.08.2016 - 03.09.2016

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2016-11-14 first archive edition https://doi.org/10.4232/1.12674
Errata in current version
none
Version changes

Further Remarks

Links
Number of Units: 500
Number of Variables: 707
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.
  • State Elections in Mecklenburg-Western Pomerania