GESIS - DBK - ZA5723
 

ZA5723: Long-term Online Tracking, T23 (GLES)

Downloads and Data Access


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ZA5723 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5723_missing.do (Dataset) 2 KBytes
  • ZA5723_v2-0-0.dta (Dataset Stata) 2 MBytes
  • ZA5723_v2-0-0.sav (Dataset SPSS) 1 MByte

Questionnaires

  • ZA5723_fb.pdf (Questionnaire) 723 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5723_sb.pdf (Study Description) 761 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, T23 (GLES). GESIS Data Archive, Cologne. ZA5723 Data file Version 2.0.0, https://doi.org/10.4232/1.12421
Study No.ZA5723
TitleLong-term Online Tracking, T23 (GLES)
Current Version2.0.0, 2015-12-16, https://doi.org/10.4232/1.12421
Date of Collection21.02.2014 - 07.03.2014
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 - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Roßmann, Joss - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 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
  • 21.02.2014 - 07.03.2014

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2015-12-16 Release2-0-0 https://doi.org/10.4232/1.12421
1.1.02015-7-2 Release1-1-0 https://doi.org/10.4232/1.12278
1.0.02014-4-3 Release1-0-0 https://doi.org/10.4232/1.11880
Errata in current version
DateSubjectDescription
2014-4-8Failure in t112Due to a programm error in t112 all answers containing "don´t know" and "no answer" were coded into system missing. Because of that those answers were coded into -92 "error in data".
2015-8-27t314 (Debt crisis, person responsible) is missing in the dataset
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-12-16Variable t314 (Debt Crisis, guilt) was missing and have been added to the dataset.2015-12-16
Changes between version 1.1.0 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

Further Remarks

Links
Number of Units: 1023
Number of Variables: 577
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.