GESIS - DBK - ZA6806
 

ZA6806: Short-term Campaign Panel 2017 – Control Group II (to Panel Wave 6) (GLES)

Downloads and Data Access


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ZA6806 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6804_KQ_match.do (Dataset) 36 KBytes
  • ZA6806_missing.do (Dataset) 2 KBytes
  • ZA6806_missing.sps (Dataset) 1 KByte
  • ZA6806_open-ended_v2-0-0.csv (Dataset) 92 KBytes
  • ZA6806_timestamps_v2-0-0.dta (Dataset Stata) 629 KBytes
  • ZA6806_timestamps_v2-0-0.sav (Dataset SPSS) 1 MByte
  • ZA6806_v2-0-0.dta (Dataset Stata) 982 KBytes
  • ZA6806_v2-0-0.sav (Dataset SPSS) 1 MByte
  • ZA6806_v2-0-0_en.dta (Dataset Stata) 1 MByte
  • ZA6806_v2-0-0_en.sav (Dataset SPSS) 1 MByte
  • ZA6806_Zeitvariablen_v2-0-0.dta (Dataset Stata) 629 KBytes
  • ZA6806_Zeitvariablen_v2-0-0.sav (Dataset SPSS) 1 MByte
  • ZA6806_Zeitvariablen_zuspielen.do (Dataset) 2 KBytes
  • ZA6806_Zeitvariablen_zuspielen.sps (Dataset) 2 KBytes

Questionnaires

  • ZA6806_Bildschirmansichten_KQSII.pdf (Questionnaire) 6 MBytes
  • ZA6806_fb.pdf (Questionnaire) 859 KBytes
  • ZA6806_q.pdf (Questionnaire) 768 KBytes

Other Documents

  • ZA6800ff_GLES2017_Doku_insgesamt.zip (Codeplan) 705 KBytes
  • ZA6806_sb.pdf (Study Description) 1 MByte
Availability Availability A - Data and documents are released for academic research and teaching.
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Bibliographic Citation

Citation Citation Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof; Preißinger, Maria; Kratz, Agatha; Wuttke, Alexander; Manger, Lea (2019): Short-term Campaign Panel 2017 – Control Group II (to Panel Wave 6) (GLES). GESIS Data Archive, Cologne. ZA6806 Data file Version 2.0.0, https://doi.org/10.4232/1.13422
Study No.ZA6806
TitleShort-term Campaign Panel 2017 – Control Group II (to Panel Wave 6) (GLES)
Current Version2.0.0, 2019-12-11, https://doi.org/10.4232/1.13422
Date of Collection04.09.2017 - 13.09.2017
Principal Investigator/ Authoring Entity, Institution
  • Roßteutscher, Sigrid - Universität Frankfurt
  • Schmitt-Beck, Rüdiger - Universität Mannheim
  • Schoen, Harald - Universität Mannheim
  • Weßels, Bernhard - Wissenschaftszentrum Berlin für Sozialforschung
  • Wolf, Christof - GESIS - Leibniz-Institut für Sozialwissenschaften
  • Preißinger, Maria - Universität Mannheim
  • Kratz, Agatha - GESIS - Leibniz-Institut für Sozialwissenschaften
  • Wuttke, Alexander - Universität Mannheim
  • Manger, Lea - Universität Mannheim
Contributor, Institution, Role
  • Schoen, Harald - Universität Mannheim - ProjectLeader
  • Preißinger, Maria - Universität Mannheim - ProjectManager
  • Kratz, Agatha - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember
  • Wuttke, Alexander - Universität Mannheim - ProjectMember
  • Blinzler, Katharina - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Jungmann, Nils - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Stroppe, Anne-Kathrin - GESIS – Leibniz-Institut für Sozialwissenschaften - DataCurator
  • Manger, Lea - Universität Mannheim - ProjectMember

Methodology

Geographic Coverage
  • Germany (DE)
UniverseThe target population of the Campaign Panel and the Control Groups comprises all German citizens who were eligible to vote in the election to the German Bundestag on September 24, 2017. Due to conducting the study online, not every German citizen eligible to vote had a chance to be selected for the survey. Thus, the frame population is restricted to German citizens eligible to vote who were members of the Online-Access-Panels conducted by Respondi AG and GapFish GmbH. The members of the Access-Panels are mainly recruited online. A smaller proportion is recruited by telephone. Only members of the GapFish panel were surveyed in Control Group II.
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Non-probability: Quota
Quota sampling of the frame population of the Online-Access-Panels 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 CollectorUniversity of Mannheim, Chair for Political Psychology
Date of Collection
  • 04.09.2017 - 13.09.2017

Errata & Versions

VersionDate, Name, DOI
2.0.0 (current version)2019-12-11 Release 2.0.0 https://doi.org/10.4232/1.13422
1.0.02018-2-22 first archive edition https://doi.org/10.4232/1.12986
Errata in current version
DateSubjectDescription
2018-2-22Programming error kpx_2291, kpx_2290All 49 respondents who were born after December 31, 1998, erroneously were screened out.
2018-2-22Filter error kp6_221Due to programming error, one respondent who indicated to choose Buendnis C (Code 351) in kp6_190bb, was not directed to this question.
2018-2-26Filter error kp6_1681Due to unclear circumstances 2 respondents in kp6_1681a-f were not directed to the follow up request although they did not move the sliders.
2018-2-26Filter error kp6_1933Due to unclear circumstances, 1 respondent in kp6_1933 was not directed to the follow-up request, although he had not moved the slider.
Version changes
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2019-12-12For the allocation to constituencies the variables elecdist, elecdist1, elecdist2, elecdist3 and elecdist4 were newly created with the Stata-Ado "plztowknr". The variables now refer to the 2017 territorial status.2019-12-12
2019-12-12Post-stratification weights (wei_mzmz wei_mzoz) have been recalculated based on the marginal distributions from the German micro census 2016.2019-12-12
2019-12-12Open answers were coded by BACES and included in the dataset(kp6_840_c1-c5, kp6_860_c1-c5, kp6_260_c1-c3). In addition, the variables with open answers were checked for sensitive information and published in a separate .csv file.2019-12-12
2019-12-12The numerical variable study contains the (ZA-)study number of the data set in four-digit format. In addition to the ZA-number, the value label now also specifies the title of the respective study.2019-12-12
2019-12-12The numerical variable "sample" is used to allocate respondents to their sample or survey group. This variable is newly introduced for all GLES studies and harmonizes these information.2019-12-12
2019-12-12In the string variable field_start the date of the first day of the survey is stored in the format ´YYYYY-MM-DD´. In the string variable field_end the date of the last day of the survey is stored in the format ´YYYYY-MM-DD´. They replace the variable field, in which this information was previously summarized.2019-12-12
2019-12-12The variables kp6_field, year and survey have been dropped. The information can be found in the variables study and sample or in the study description.2019-12-12
2019-12-12An English version of the data set, the timestamps and the questionnaire were published.2019-12-12
2019-12-12The name of the variable kp6_650x "Scalometer Politician: Frauke Petry" has been changed to kp6_650p in accordance with the naming of the variable in the campaign panel.2019-12-12
2019-12-12The name of the variable kp6_262s "Reasons for voting decision" has been changed to kp6_260s in accordance with the naming of the variable in the campaign panel.2019-12-12

Further Remarks

Number of Units: 1173
Number of Variables: 345 (+ 263 Zeitvariablen)
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.