GESIS - DBK - ZA5333

ZA5333: Long-term-Online-Tracking of State Election North Rhine-Westphalia 2012 (GLES 2009)

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ZA5333 Downloads and Data Access

List of Files

List of Files


  • ZA5333_v1-1-0.dta (Dataset Stata) 5 MBytes
  • ZA5333_v1-1-0.sav (Dataset SPSS) 3 MBytes


  • ZA5333_fb.pdf (Questionnaire) 1 MByte

Other Documents

  • ZA5333_sb.pdf (Study Description) 797 KBytes
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Bibliographic Citation

Citation Citation GLES (2015): Long-term-Online-Tracking of State Election North Rhine-Westphalia 2012 (GLES 2009). GESIS Data Archive, Cologne. ZA5333 Data file Version 1.1.0,
Study No.ZA5333
TitleLong-term-Online-Tracking of State Election North Rhine-Westphalia 2012 (GLES 2009)
Other Titles
  • German Longitudinal Election Study (Project Title)
Current Version1.1.0, 2015-9-7,
Date of Collection02.05.2012 - 12.05.2012
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
  • Bieber, Ina - Universität Frankfurt - ProjectManager
  • Scherer, Philipp - Universität Frankfurt - ProjectMember
  • Kaukal, Malte - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator


Categories Categories
  • Political Attitudes and Behavior
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


Geographic Coverage
  • North Rhine-Westphalia (DE-NW)
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 North Rhine-Westfalia and used at least once a week the Internet for private reasons. This group comprised nearly 8100 active Panel members in the LINK Internet Panel in North Rhine-Westfalia. 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
  • 02.05.2012 - 12.05.2012

Errata & Versions

VersionDate, Name, DOI
1.1.0 (current version)2015-9-7 Release1-1-0
1.0.02013-8-2 first archive edition
Errata in current version
2013-8-2l95 “preference prime minister”Due to a programming error it was not differentiated between female and male form of “prime minister” while asking the question
2013-8-2l206a-f “knowledge about positions I, North Rhine-Westphalia”Variables l206a-f “knowledge about positions I, North Rhine-Westphalia” cannot be analyzed due to a wrong question wording. It was wrongly asked for positions of political parties regarding a debt brake in Schleswig-Holstein. This is also true for variable l211a “own positions I, North Rhine-Westphalia” but all other items (l211b-e) were correctly displayed.
2013-8-2l210a-f, “knowledge about positions V, North Rhine-Westphalia”A programming error occurred during execution of variable l210a-f “knowledge about positions V, North Rhine-Westphalia”. Therefore variable cannot be analyzed.
2013-8-2l182 “former employment”Filter of variable l182 “former employment” did not consider “no answer” at variable l181 although it was supposed to do. This error affects variable l185 “former sector of employment” and l187 “former occupation”, too.
Version changes
Changes between version 1.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-9-7l15c (Skalometer SPD) and l15d (Skalometer FDP) had been interchanged. This have been corrected.2015-9-7
2015-9-7Code 1 (CDU/CSU) in l71aa-b, l72aa-b, l73aa-b and l75aa-b have been recoded into code 2 (CDU). 2015-9-7
2015-9-7Variable labels have been corrected.2015-9-7

Further Remarks

Number of Units: 506
Number of Variables: 947
Analysis System(s): SPSS, Stata


Relevant full texts
from SSOAR (automatically assigned)


Research Data Centre
  •  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 North Rhine-Westphalia