GESIS - DBK - ZA5753
 

ZA5753: Short-term Campaign Panel 2013 – Control Group I (to Panel Wave 3) (GLES)

Downloads and Data Access


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ZA5753 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA5704_CG_match_en.do (Dataset) 37 KBytes
  • ZA5704_KQ_match.do (Dataset) 37 KBytes
  • ZA5753_en_v3-0-0.dta (Dataset Stata) 4 MBytes
  • ZA5753_en_v3-0-0.sav (Dataset SPSS) 3 MBytes
  • ZA5753_missing.do (Dataset) 3 KBytes
  • ZA5753_missing_en.do (Dataset) 2 KBytes
  • ZA5753_v3-0-0.dta (Dataset Stata) 4 MBytes
  • ZA5753_v3-0-0.sav (Dataset SPSS) 3 MBytes

Questionnaires

  • ZA5753_fb_v3-0-0.pdf (Questionnaire) 838 KBytes
  • ZA5753_q_v3-0-0.pdf (Questionnaire) 732 KBytes

Other Documents

  • ZA5700ff_GLES2013_Doku_insgesamt.zip (Codeplan) 138 KBytes
  • ZA5753_sb_v3-0-0.pdf (Study Description) 675 KBytes
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation GLES (2015): Short-term Campaign Panel 2013 – Control Group I (to Panel Wave 3) (GLES). GESIS Data Archive, Cologne. ZA5753 Data file Version 3.0.0, https://doi.org/10.4232/1.12164
Study No.ZA5753
TitleShort-term Campaign Panel 2013 – Control Group I (to Panel Wave 3) (GLES)
Current Version3.0.0, 2015-1-26, https://doi.org/10.4232/1.12164
Date of Collection01.08.2013 - 11.08.2013
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
  • Rattinger, Hans - Universität Mannheim - ProjectLeader
  • Wiegand, Elena - Universität Mannheim - ProjectManager
  • Plischke, Thomas - Universität Mannheim - ProjectMember
  • Kaukal, Malte - Universität Mannheim - 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
  • 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
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
  • 01.08.2013 - 11.08.2013

Errata & Versions

VersionDate, Name, DOI
3.0.0 (current version)2015-1-26 Release3-0-0 https://doi.org/10.4232/1.12164
2.0.02014-6-3 Release2-0-0 https://doi.org/10.4232/1.11935
1.0.02013-11-13 first archive edition https://doi.org/10.4232/1.11777
Errata in current version
DateSubjectDescription
2013-11-13Programm error: kp3_221a-i (Consideration Set)At the beginning of the survey filter criteria in variable kp3_221a-i didn´t worked. In general, respondents should tell how likely they would vote other parties than those they already mentioned. Those parties were supposed to be not shown. Unfortunatly, 46 respondents faced their chosen parties. Further information can be found in kp3_info1.
2013-11-13Cut open answersDue to the transformation into a STATA File ".dta", all open answers (kp3_840s, kp3_860s, kp3_4230s, kp3_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 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2015-1-27The coding of “kp3_260” (Reasons for voting desicions) was adjusted to the coding used in 2009.2015-1-27
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 "kp3_650" and "kp3_261" were adjusted to their use in 2009. 2015-1-27
2015-1-27The data quality indicators “kp3_itnrp”, “kp3_strl”, “kp3_mtime”, “kp3_mtimex” and “kp3_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--
2014-6-3--
2014-6-3--
2014-6-3--

Further Remarks

Links
Number of Units: 1236
Number of Variables: 658
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.