GESIS - DBK - ZA5731
 

ZA5731: Long-term Online Tracking, T31 (GLES)

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Datasets

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  • ZA5731_missing.do (Dataset) 2 KBytes
  • ZA5731_open-ended_v1-1-0.csv (Dataset) 55 KBytes
  • ZA5731_v1-1-0.dta (Dataset Stata) 1 MByte
  • ZA5731_v1-1-0.sav (Dataset SPSS) 1 MByte

Questionnaires

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  • ZA5731_fb.pdf (Questionnaire) 733 KBytes

Other Documents

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  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5731_sb.pdf (Study Description) 967 KBytes
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Bibliographic Citation

Citation Citation GLES (2016): Long-term Online Tracking, T31 (GLES). GESIS Data Archive, Cologne. ZA5731 Data file Version 1.1.0, https://doi.org/10.4232/1.12655
Study No.ZA5731
TitleLong-term Online Tracking, T31 (GLES)
Current Version1.1.0, 2016-10-13, https://doi.org/10.4232/1.12655
Date of Collection26.02.2016 - 11.03.2016
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Universität Frankfurt - ProjectLeader
  • Henckel, Simon - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 2.2 Migration
  • 5.8 Social behaviour and attitudes
  • 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 when the survey was conducted. 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
  • 26.02.2016 - 11.03.2016

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2016-10-13 Release1-1-0 https://doi.org/10.4232/1.12655
1.0.02016-5-9 Release1-0-0 https://doi.org/10.4232/1.12542
Errata in current version
DateSubjectDescription
2016-11-4The coding in variable t320 "Frequency church attendance" is partly wrong. Value -97 "not applicable" is supposed to be -99 "no answer". The current -99 should be -98 "don´t know".
Version changes
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-10-13Variable t60 "Religion" had wrong codes and has been corrected.2016-10-13
2016-10-13In variables including party codes the party "ALFA" wrongly was assigned to code 332 instead of 331. This has been corrected.2016-10-13

Further Remarks

Links
Number of Units: 1015
Number of Variables: 589
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.