GESIS - DBK - ZA5724
 

ZA5724: Long-term Online Tracking, T24 (GLES)

Downloads and Data Access


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ZA5724 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5724_missing.do (Dataset) 2 KBytes
  • ZA5724_v1-2-0.dta (Dataset Stata) 2 MBytes
  • ZA5724_v1-2-0.sav (Dataset SPSS) 2 MBytes

Questionnaires

  • ZA5724_fb_v1-2-0.pdf (Questionnaire) 880 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5724_sb_v1-2-0.pdf (Study Description) 702 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2015): Long-term Online Tracking, T24 (GLES). GESIS Data Archive, Cologne. ZA5724 Data file Version 1.2.0, https://doi.org/10.4232/1.12279
Study No.ZA5724
TitleLong-term Online Tracking, T24 (GLES)
Current Version1.2.0, 2015-7-2, https://doi.org/10.4232/1.12279
Date of Collection09.05.2014 - 23.05.2014
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
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Lamers, Patrick - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.2 Mass media
  • 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
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
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
  • 09.05.2014 - 23.05.2014

Errata & Versions

VersionDate, Name, DOI
1.2.0 (current version)2015-7-2 Release1-2-0 https://doi.org/10.4232/1.12279
1.1.02015-5-6 Release1-1-0 https://doi.org/10.4232/1.12233
1.0.02014-7-8 Release1-0-0 https://doi.org/10.4232/1.11963
Errata in current version
none
Version changes
Changes between version 1.2.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-7-2Weights adjusting to the online population have been updated. Now, they are based on the (N)Onliner Atlas 2014.2015-7-2
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-5-11122 cases of the most and the second most important problem were not coded. This, as well as typing errors in codes, is corrected now. Filter descriptions of the variables t304 and t426 to t432 were added, as well as filter descriptions to figures of exemplar ballots. Missing values are now defined in the SPSS data set.2015-5-11

Further Remarks

Links
Number of Units: 1044
Number of Variables: 520
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.