GESIS - DBK - ZA5701
 

ZA5701: Post-election Cross Section (GLES 2013)

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ZA5701 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5701_de_missing.do (Dataset) 3 KBytes
  • ZA5701_de_v3-0-1.dta (Dataset Stata) 4 MBytes
  • ZA5701_de_v3-0-1.sav (Dataset SPSS) 3 MBytes
  • ZA5701_en_missing.do (Dataset) 2 KBytes
  • ZA5701_en_v3-0-1.dta (Dataset Stata) 4 MBytes
  • ZA5701_en_v3-0-1.sav (Dataset SPSS) 3 MBytes

Questionnaires

  • ZA5701_fb.pdf (Questionnaire) 412 KBytes
  • ZA5701_Listenheft.pdf (Questionnaire) 1 MByte
  • ZA5701_q.pdf (Questionnaire) 375 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5701_sb.pdf (Study Description) 167 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2019): Post-election Cross Section (GLES 2013). GESIS Data Archive, Cologne. ZA5701 Data file Version 3.0.1, https://doi.org/10.4232/1.13232
Study No.ZA5701
TitlePost-election Cross Section (GLES 2013)
Current Version3.0.1, 2019-2-26, https://doi.org/10.4232/1.13232
Date of Collection23.09.2013 - 23.12.2013
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
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung - ProjectLeader
  • Wagner, Aiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectManager
  • Giebler, Heiko - Wissenschaftszentrum Berlin für Sozialforschung - ProjectMember
  • Förster, André - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Kratz, Sophia - GESIS - Leibniz-Institut für Sozialwissenschaften - DataCurator

Content

Topics Topics
  • 9.1 Information society
  • 9.2 Mass media
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections
  • 17.5 Economic policy
  • 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, who had a minimum age of 16 years, lived in private households at the time of Federal Election (22. September 2013) and were eligible to vote, or - if person has not been 18 years old then - would have been eligible to vote.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Stratified: Disproportional
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorMARPLAN Media- und Sozialforschungsgesellschaft mbH, Frankfurt am Main
Date of Collection
  • 23.09.2013 - 23.12.2013

Errata & Versions

VersionDate, Name, DOI
3.0.1 (current version)2019-2-26 Release3-0-1 https://doi.org/10.4232/1.13232
3.0.02017-6-7 Release3-0-0 https://doi.org/10.4232/1.12809
2.0.02014-6-12 Release2-0-0 https://doi.org/10.4232/1.11940
1.0.02014-4-1 Release1-0-0 https://doi.org/10.4232/1.11875
Errata in current version
DateSubjectDescription
2014-4-1Wrong filter: q24 (Point in time of voting decision)Nine respondents (lfdn = 96, 182, 763, 960, 1015, 1043, 1052, 1068, 1734), who stated to have cast their vote in the federal election, did erroneously not get the question q24 concerning the point in time of their voting decision (Code -97 ´not applicable´).
2014-9-10Coding error: q31a-j (Scalometer politicians)Due to a coding error, all respondents answering "don´t know" to the question concerning their opinion about each politician (q31a-j) erroneously received code -99 ("no answer").
Version changes
Changes between version 3.0.1 and it's previous version
DateSubjectDescriptionCorrection Description
2019-2-26Extensive revision of the variable labels and value labels in the English data set2019-2-26
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-6-12Wrong lfdn numbers in the errata note of the documentation of the questionnaire: q24 (Point in time of voting decision)Wrong lfdn numbers in the errata note on variable q24 have been corrected.--
2014-6-12Variables regarding the open-ended questions (q3a-d, q4a-d, q16a-c, q20a-c) and variables regarding the willingness to participate in the long-term panel (q237, wieend, wieekt) have been added to the dataset. Additionally, the variable q227is has been added. It includes information about the party membership of the respondent.--
2014-6-12The variable elecdist now includes information about the electoral district of the respondent according to the coding of the survey research institute. Thus, the attribution of the electoral district based on postcodes is no longer necessary.--
2014-6-12The variables q170q (Vocational/professional training, don´t know) and q170r (Vocational/professional training, no answer) are no longer included in Version 2.0.0. The corresponding answers have been recoded into the value labels -99 ´no answer´ and -98 ´don´t know´ in the variables q170a-p. --
2014-6-12Minor recodings were made regarding the variables q211 (Country of birth, other country), q216 (Country of birth, father), q217 (Country of birth, mother) and q219 (Country of birth, partner, other).--
2014-6-12The value labels of the variables study (Study number (ZA-No.)), year (Survey year), glescomp (GLES component) and survey (Survey wave) have been corrected.--

Further Remarks

Links
NotesTwo respondents (lfdn = 316, 890) have stated that they voted for the party AfD with their first and second vote in the federal state election in Bavaria (Variable q82aa-bb). However, the party did not compete in this election. The variable q159a/b concerning the party identification includes code 809 ´all parties are equally good´. In contrast to the pre-election cross-section, this code was allowed in the post-election cross-section.
Number of Units: 1908
Number of Variables: 665
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.