GESIS - DBK - ZA5740
 

ZA5740: Long-term-Online-Tracking of State Election Thuringia 2014 (GLES)

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:
ZA5740 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5740_missing.do (Dataset) 2 KBytes
  • ZA5740_v2-0-0.dta (Dataset Stata) 1 MByte
  • ZA5740_v2-0-0.sav (Dataset SPSS) 1 MByte

Questionnaires

  • ZA5740_fb_v2-0-0.pdf (Questionnaire) 738 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5740_sb_v2-0-0.pdf (Study Description) 876 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 (2015): Long-term-Online-Tracking of State Election Thuringia 2014 (GLES). GESIS Data Archive, Cologne. ZA5740 Data file Version 2.0.0, https://doi.org/10.4232/1.12285
Study No.ZA5740
TitleLong-term-Online-Tracking of State Election Thuringia 2014 (GLES)
Current Version2.0.0, 2015-7-2, https://doi.org/10.4232/1.12285
Date of Collection29.08.2014 - 13.09.2014
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
  • 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
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.6 Economic systems and development

Methodology

Geographic Coverage
  • Thuringia (DE-TH)
UniverseThe 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 Thuringia and used at least once a week the Internet for private reasons. This group comprised nearly 1600 active Panel members in the LINK Internet Panel in Thuringia. Active Panel members are defined as persons who filled in master data survey after recruitment by phone (Double-op-in-Registration) and who participated at a minimum surveys of one in the last twelve month.
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
  • 29.08.2014 - 13.09.2014

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2015-7-2 Release2-0-0 https://doi.org/10.4232/1.12285
1.0.02014-10-20 Release1-0-0 https://doi.org/10.4232/1.12057
Errata in current version
DateSubjectDescription
2014-10-20Unfortunately, one respondet was not shown question l81. Thus, the respondents answer was coded into -92.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-7-2Weights adjusting to the online population based on the (N)Onliner Atlas 2014 have been added.2015-7-2
2015-7-2Corrections in study description and questionaire.2015-7-2

Further Remarks

Links
NotesThe weights adjusting for the online population will be published later because the marginal distributions of the (N)OnlinerAtlas 2014 were not available at the the time of release.
Number of Units: 504
Number of Variables: 686
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.
  • State Elections in Thuringia