GESIS - DBK - ZA5721
 

ZA5721: Long-term Online Tracking, T21 (GLES)

Downloads and Data Access


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ZA5721 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5721_missing_v3-1-0.do (Dataset) 2 KBytes
  • ZA5721_v3-1-0.dta (Dataset Stata) 2 MBytes
  • ZA5721_v3-1-0.sav (Dataset SPSS) 2 MBytes

Questionnaires

  • ZA5721_fb_v3-1-0.pdf (Questionnaire) 1022 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5721_sb_v3-1-0.pdf (Study Description) 847 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Long-term Online Tracking, T21 (GLES). GESIS Data Archive, Cologne. ZA5721 Data file Version 3.1.0, https://doi.org/10.4232/1.12231
Study No.ZA5721
TitleLong-term Online Tracking, T21 (GLES)
Current Version3.1.0, 2015-5-6, https://doi.org/10.4232/1.12231
Date of Collection06.09.2013 - 21.09.2013
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
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Lamers, Patrick - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Gummer, Tobias - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.1 Information society
  • 9.2 Mass media
  • 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
  • 06.09.2013 - 21.09.2013

Errata & Versions

VersionDate, Name, DOI
3.1.0 (current version)2015-5-6 Release3-1-0 https://doi.org/10.4232/1.12231
3.0.02014-8-21 Release3-0-0 https://doi.org/10.4232/1.12036
2.0.02013-12-5 variables t10s and t12s added; value labels in t318 corrected https://doi.org/10.4232/1.11797
1.0.02013-10-11 first archive edition https://doi.org/10.4232/1.11772
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 3.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-5-11Due to privacy reasons variable bik10 was recoded.2015-5-11
Changes between version 3.0.0 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
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2013-12-6Variables added: t10s; t12s (Most important problem; Second most important problem)The following Variables were added to the dataset: t10s, t12s (Most important problem, Second most important problem).2013-12-6
2013-12-6Correction of wrong value labels: t318 (Position issue: Climate Change, Ego)Wrong value labels in variable t318 (Position issue: Climate Change, Ego) have been corrected.2013-12-6

Further Remarks

Links
Number of Units: 1012
Number of Variables: 848
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.