GESIS - DBK - ZA5742
 

ZA5742: Longterm Online Tracking at State Election Saxony-Anhalt 2016 (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:
ZA5742 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5742_missing.do (Dataset) 2 KBytes
  • ZA5742_v1-0-0.dta (Dataset Stata) 750 KBytes
  • ZA5742_v1-0-0.sav (Dataset SPSS) 1 MByte

Questionnaires

  • ZA5742_fb.pdf (Questionnaire) 698 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5742_sb.pdf (Study Description) 957 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 (2016): Longterm Online Tracking at State Election Saxony-Anhalt 2016 (GLES). GESIS Data Archive, Cologne. ZA5742 Data file Version 1.0.0, https://doi.org/10.4232/1.12532
Study No.ZA5742
TitleLongterm Online Tracking at State Election Saxony-Anhalt 2016 (GLES)
Current Version1.0.0, 2016-4-25, https://doi.org/10.4232/1.12532
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
  • 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
  • Saxony-Anhalt (DE-ST)
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 Saxony-Anhalt 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 Saxony-Anhalt. 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
  • 26.02.2016 - 11.03.2016

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2016-4-25 first archive edition https://doi.org/10.4232/1.12532
Errata in current version
DateSubjectDescription
2016-4-26l95 filter errorDue to a filter error respondents did answer l95 as well, even if they did not know all candidates. Thus, those answers have been coded into -97 "not applicable". The original answers can be found in l95_org.
Version changes

Further Remarks

Links
Number of Units: 511
Number of Variables: 680
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 Saxony-Anhalt