GESIS - DBK - ZA6825
 

ZA6825: Longterm-Online-Tracking, T41 (GLES)

Downloads and Data Access


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ZA6825 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6825_missing.do (Dataset) 2 KBytes
  • ZA6825_missing.sps (Dataset) 1 KByte
  • ZA6825_v1-1-0.dta (Dataset Stata) 1 MByte
  • ZA6825_v1-1-0.sav (Dataset SPSS) 1 MByte
  • ZA6825_v1-1-0_open-ended.csv (Dataset) 48 KBytes

Questionnaires

  • ZA6825_fb.pdf (Questionnaire) 578 KBytes

Other Documents

  • ZA6800ff_GLES2017_Doku_insgesamt.zip (Codeplan) 705 KBytes
  • ZA6825_sb.pdf (Study Description) 721 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2020): Longterm-Online-Tracking, T41 (GLES). GESIS Data Archive, Cologne. ZA6825 Data file Version 1.1.0, https://doi.org/10.4232/1.13576
Study No.ZA6825
TitleLongterm-Online-Tracking, T41 (GLES)
Current Version1.1.0, 2020-8-19, https://doi.org/10.4232/1.13576
Date of Collection30.11.2018 - 07.12.2018
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 - Goethe-Universität Frankfurt am Main - ProjectLeader
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectLeader
  • Dietz, Melanie - Goethe-Universität Frankfurt am Main - ProjectManager
  • Roßmann, Joss - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Bauer, Irina - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Kühn, Marie - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Scherer, Philipp - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Stövsand, Lars-Christopher - Goethe-Universität Frankfurt am Main - ProjectMember
  • Jungmann, Nils - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe population comprises all German citizens who were eligible to vote in the German federal election when the survey was conducted, i.e. all persons with German citizenship who had reached the age of 18 at the time the study was carried out. Due to the fact that this was an online survey not everybody who was eligible to vote had a chance to get selected for this Online Tracking. Therefore the frame population comprises only active participants of the Online-Access-Panel conducted by Respondi AG who were German citizens and who had reached the age of 18. The Respondi panel contained 65,000 to 70,000 members at the end of 2016. After completing a double opt-in registration procedure and filling in their master data, Respondi panel members are considered active, when they participated in at least one survey in the past three months.
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 CollectorGESIS – Leibniz Institute for the Social Sciences
Date of Collection
  • 30.11.2018 - 07.12.2018

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2020-8-19 Release 1-1-0 https://doi.org/10.4232/1.13576
1.0.02020-4-6 first archive edition https://doi.org/10.4232/1.13014
Errata in current version
DateSubjectDescription
2020-4-21Error in time variables zstart-zendThe time that respondents needed to view and edit the single pages of the survey is calculated from the cumulated times recorded by the server. Due to unknown reasons, the time was incorrectly recorded on some pages. If this made the correct calculation of the time variables zstart-zend impossible, the time for viewing and editing a page was coded as -92 "Error in data".
Version changes
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2020-8-19In variable t60 "religious affiliation" the incorrect value 7 has been recoded. Persons who stated that they did not belong to any religious community received the correct value 9.2020-8-19
2020-8-19Correction of typos in variable labels and value labels and completion of missing value labels2020-8-19

Further Remarks

Number of Units: 1106
Number of Variables: 389
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.