GESIS - DBK - ZA6840
 

ZA6840: GLES Tracking May 2020, T46

Downloads and Data Access


On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA6840 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6840_missing.do (Dataset) 2 KBytes
  • ZA6840_missing.sps (Dataset) 1 KByte
  • ZA6840_v1-0-0.dta (Dataset Stata) 953 KBytes
  • ZA6840_v1-0-0.sav (Dataset SPSS) 894 KBytes
  • ZA6840_v1-0-0_open-ended.csv (Dataset) 48 KBytes

Questionnaires

  • ZA6840_fb.pdf (Questionnaire) 611 KBytes

Other Documents

  • ZA6840_sb.pdf (Study Description) 672 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation GLES (2020): GLES Tracking May 2020, T46. GESIS Data Archive, Cologne. ZA6840 Data file Version 1.0.0, https://doi.org/10.4232/1.13547
Study No.ZA6840
TitleGLES Tracking May 2020, T46
Current Version1.0.0, 2020-7-15, https://doi.org/10.4232/1.13547
Date of Collection30.04.2020 - 14.05.2020
Principal Investigator/ Authoring Entity, Institution
  • Debus, Marc - Universität Mannheim
  • Faas, Thorsten - Freie Universität Berlin
  • Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main
  • Schoen, Harald - Universität Mannheim
Contributor, Institution, Role
  • Roßteutscher, Sigrid - Goethe-Universität Frankfurt am Main - ProjectLeader
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectLeader
  • Blumenberg, Manuela - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectManager
  • Dietz, Melanie - Goethe-Universität Frankfurt am Main - ProjectMember
  • Scherer, Philipp - Goethe-Universität Frankfurt am Main - 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 of the GLES tracking consists of citizens of the Federal Republic of Germany who were eligible to vote in elections to the German Bundestag at the time of the survey, i.e. German citizens who had reached the age of 18 at the time of the survey. Since the data was collected using computer-aided web interviews (CAWI), not all citizens who were eligible to participate also had a chance different from zero of being selected for the survey. The frame population therefore only includes active participants in the Online-Access-Panel operated by respondi AG who were German citizens and who had reached the age of 18 at the time the study was conducted.
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
  • 30.04.2020 - 14.05.2020

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-7-15 first archive edition https://doi.org/10.4232/1.13547
Errata in current version
DateSubjectDescription
2020-7-15Programming error: t308pDue to a programming error, no valid entries could be collected here, so the values of all respondents on this variable were coded as -92 "Error in data".
2020-7-15Error 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

Further Remarks

Number of Units: 1100
Number of Variables: 401
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.