GESIS - DBK - ZA5720
 

ZA5720: Long-term Online Tracking, T20 (GLES)

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Bibliographic Citation

Citation Citation    Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard; Wolf, Christof; Bieber, Ina; Scherer, Philipp (2018): Long-term Online Tracking, T20 (GLES). GESIS Data Archive, Cologne. ZA5720 Data file Version 3.0.0, https://doi.org/10.4232/1.13016
Study No.ZA5720
TitleLong-term Online Tracking, T20 (GLES)
Current Version3.0.0, 2018-4-17, https://doi.org/10.4232/1.13016
Date of Collection24.05.2013 - 08.06.2013
Principal Investigator/ Authoring Entity, Institution
  • Rattinger, Hans - Universität Mannheim
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
  • Bieber, Ina - Universität Frankfurt
  • Scherer, Philipp - Universität Frankfurt

Content

Topics Topics
  • 11.2 International politics and organisation
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.5 Economic policy
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were eligible to vote at the German Federal Election 2013. 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 LINK Internet Panel, 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 40000 active Panel members in the LINK Internet Panel. Panel members were recruited exclusively by phone.
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 CollectorLINK Institute for Market and Social Science Research, Frankfurt am Main
Date of Collection
  • 24.05.2013 - 08.06.2013

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2018-4-17 Release3-0-0 https://doi.org/10.4232/1.13016
2.0.02014-8-21 Release2-0-0 https://doi.org/10.4232/1.12035
1.0.02013-7-26 first archive edition https://doi.org/10.4232/1.11743
Errata in current version
none
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-4-17Open answers to t307s "Reasons for vote abstention", t10s "Most important problem", t12s "Second most important problem", t314as "Debt crisis, main fault (Split 1, open question)" and t314bs "Debt crisis, main fault (Split 2, other mentions)" are now available in .csv-format. For this purpose, answers were intensively checked for privacy sensitive mentions and censored if necessary.2018-4-17
2018-4-17The Digital Object Identifier variable has been added and the order of meta data variables has been adapted to current releases.2018-4-17
2018-4-17The value label character length of t3 "Graduation" has been shortened.2018-4-17
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-8-22Coded open answers of t10 "Most important problem" and t12 "Second most important problem" have been added. The coding scheme can be downloaded from GLES Microsite at GESIS (http://www.gesis.org/gles).2014-8-22

Further Remarks

Links
Number of Units: 1048
Number of Variables: 453
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.