GESIS - DBK - ZA5722
 

ZA5722: Long-term Online Tracking, T22 (GLES)

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Bibliographic Citation

Citation Citation Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard; Wolf, Christof; Bieber, Ina; Scherer, Philipp (2015): Long-term Online Tracking, T22 (GLES). GESIS Data Archive, Cologne. ZA5722 Data file Version 3.0.0, https://doi.org/10.4232/1.12232
Study No.ZA5722
TitleLong-term Online Tracking, T22 (GLES)
Current Version3.0.0, 2015-5-6, https://doi.org/10.4232/1.12232
Date of Collection29.11.2013 - 13.12.2013
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
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections

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
  • 29.11.2013 - 13.12.2013

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2015-5-6 Release3-0-0 https://doi.org/10.4232/1.12232
2.0.02014-8-21 Release2-0-0 https://doi.org/10.4232/1.12037
1.0.02014-1-15 Release1-0-0 https://doi.org/10.4232/1.11821
Errata in current version
DateSubjectDescription
2014-8-22Due to the transformation into a STATA File ".dta", all open answers were cut to 244 characters. Thus, we strongly recommend to use SPSS datasets for anlysis of open answers only.
Version changes
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-5-11Variable bik10, showing the size of place of residence in BIK-size-categories, was added to the data set.2015-5-11
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: 1049
Number of Variables: 421
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.