GESIS - DBK - ZA5735
 

ZA5735: Long-term-Online-Tracking of State Election Lower Saxony 2013 (GLES)

Downloads and Data Access


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ZA5735 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5735_v2-0-0.dta (Dataset Stata) 1 MByte
  • ZA5735_v2-0-0.sav (Dataset SPSS) 1 MByte

Questionnaires

  • ZA5735_fb_v2-0-0.pdf (Questionnaire) 984 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5735_sb_v2-0-0.pdf (Study Description) 728 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2014): Long-term-Online-Tracking of State Election Lower Saxony 2013 (GLES). GESIS Data Archive, Cologne. ZA5735 Data file Version 2.0.0, https://doi.org/10.4232/1.12038
Study No.ZA5735
TitleLong-term-Online-Tracking of State Election Lower Saxony 2013 (GLES)
Current Version2.0.0, 2014-8-21, https://doi.org/10.4232/1.12038
Date of Collection04.01.2013 - 19.01.2013
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
  • Lamers, Patrick - Universität Frankfurt - ProjectManager
  • Bieber, Ina - Universität Frankfurt - ProjectMember
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Categories Categories
  • Political Attitudes and Behavior
  • Political Issues
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
  • Germany (DE)
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 Lower Saxony. This group comprised nearly 3500 active Panel members in the LINK Internet Panel in Lower Saxony. Recruitment of these people happens exclusively by phone according the operator.
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
  • 04.01.2013 - 19.01.2013

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2014-8-21 Release2-0-0 https://doi.org/10.4232/1.12038
1.0.02013-3-18 first archive edition https://doi.org/10.4232/1.11583
Errata in current version
DateSubjectDescription
2014-8-22Due to the transformation into a STATA File ".dta", all open answers were cut to 244 characters. Thus, we strongly recommend to use SPSS datasets for anlysis of open answers only.
2016-11-18Variable labels in l07f and l107g are worong. They were supposed to be: l107g "Erwartete Koalition LTW (andere Koalition)" and l107g "Erwartete Koalition LTW (keine Angabe)".
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-8-22Coded open answers of l25s "Most important problem", l27 "Second most important problem". l96s "Most important problem, federal election" and l98s ""Second most important problem, federal election" have been added. The coding scheme can be downloaded from GLES Microsite at GESIS (http://www.gesis.org/gles).2014-8-22
2014-8-22Variable labels have been corrected 2014-8-22

Further Remarks

Links
Number of Units: 543
Number of Variables: 841
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 Lower Saxony