GESIS - DBK - ZA5755
 

ZA5755: Short-term Campaign Panel 2013 – Control Group III (to Panel Wave 7) (GLES)

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Bibliographic Citation

Citation Citation    Rattinger, Hans; Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Weßels, Bernhard; Wolf, Christof; Plischke, Thomas; Wiegand, Elena (2016): Short-term Campaign Panel 2013 – Control Group III (to Panel Wave 7) (GLES). GESIS Data Archive, Cologne. ZA5755 Data file Version 3.1.0, https://doi.org/10.4232/1.12535
Study No.ZA5755
TitleShort-term Campaign Panel 2013 – Control Group III (to Panel Wave 7) (GLES)
Current Version3.1.0, 2016-4-27, https://doi.org/10.4232/1.12535
Date of Collection24.09.2013 - 03.10.2013
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
  • Plischke, Thomas - Universität Mannheim
  • Wiegand, Elena - Universität Mannheim

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
  • Germany (DE)
UniverseThe universe of the sample was comprised of the Online-Access-Panel conducted by Respondi AG. This panel included 96,445 active members in 2013. The members of the Access-Panel are mainly recruited online. A smaller proportion is recruited by telephone.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Quota sampling of the universe of the Online-Access-Panel by age, sex and education.
Mode of Collection Mode of Collection
  • Self-administered questionnaire: Web-based (CAWI)
Online Survey with standardized questionnaire
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
  • Text
Data CollectorBamberg Center for Empirical Studies (BACES), Bamberg
Date of Collection
  • 24.09.2013 - 03.10.2013

Errata & Versions

VersionDate, Name, DOI
3.1.0 (current version)2016-4-27 Release3-1-0 https://doi.org/10.4232/1.12535
3.0.02015-1-26 Release3-0-0 https://doi.org/10.4232/1.12166
2.0.02014-6-3 Release2-0-0 https://doi.org/10.4232/1.11937
1.0.02013-11-13 first archive edition https://doi.org/10.4232/1.11779
Errata in current version
DateSubjectDescription
2013-11-13Cut open answersDue to the transformation into a STATA File ".dta", all open answers (kp7_840s, kp7_860s, kp7_4230s, kp7_4270s) were cut to 244 characters. Thus, we strongly recommend to use SPSS datasets for anlysis of open answers only.
Version changes
Changes between version 3.1.0 and it's previous version
DateSubjectDescriptionCorrection Description
2016-4-28In variable kp7_3591 the coding was twisted and have been corrected.2016-4-28
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-1-27Due to a better comparability several variables were renamed. If the wording and the answer options differ, but have the same variable name as in 2009, the variable was given a new name. If the questions were collected totally equal but had erroneously different variablenames, they have been renamed into the version of 2009. See study description.2015-1-27
2015-1-27Suffixes of the variables "kp7_661", "kp7_650" and "kp7_261" were adjusted to their use in 2009. 2015-1-27
2015-1-27The suffix “a” of the variable kp7_341a” was renamed to “j”, as there were two separate question concerning the party CDU/CSU in 2009.2015-1-27
2015-1-27The data quality indicators “kp7_itnrp”, “kp7_strl”, “kp7_mtime”, “kp7_mtimex” and “kp7_dokn” were added to the data set.2015-1-27
2015-1-27The dataset and questionnaire are now also available in English.2015-1-27
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2014-6-3--
2014-6-3--
2014-6-3--
2014-6-3--
2014-6-3--
2014-6-3--

Further Remarks

Links
Number of Units: 1186
Number of Variables: 759
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.