GESIS - DBK - ZA6850
 

ZA6850: Forsa-Bus 2019

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List of Files

List of Files
 

Datasets

  • ZA6850_v1-0-0.dta (Dataset Stata) 11 MBytes
  • ZA6850_v1-0-0.sav (Dataset SPSS) 16 MBytes

Questionnaires

  • ZA6850_fb.pdf (Questionnaire) 133 KBytes
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Bibliographic Citation

Citation Citation forsa, Berlin (2020): Forsa-Bus 2019. GESIS Data Archive, Cologne. ZA6850 Data file Version 1.0.0, https://doi.org/10.4232/1.13552
Study No.ZA6850
TitleForsa-Bus 2019
Current Version1.0.0, 2020-7-30, https://doi.org/10.4232/1.13552
Date of Collection02.01.2019 - 20.12.2019
Principal Investigator/ Authoring Entity, Institution
  • forsa, Berlin

Content

AbstractParty and Federal Chancellor preference. Topics: Federal Chancellor preference for Annegret Kramp-Karrenbauer or Andrea Nahles, for Annegret Kramp-Karrenbauer or Olaf Scholz, for Annegret Kramp-Karrenbauer or Robert Habeck or for Olaf Scholz or Robert Habeck; economic expectations for Germany; most competent party to solve the problems in the Federal Republic; voting behaviour in the last federal and state elections; party preference at federal and state level (Sunday question). Demography: Sex; age (year of birth); marital status; living with a partner; gainful employment; group membership if not gainfully employed; education; occupational status and characteristics; household size; number of children in the household under 18 years of age; net household income; denomination; trade union member in the household. Additionally coded: Federal state; administrative district; district code number; political community size class; survey area west/east; interview date (year, month, day); weekday of the interview; survey period (week); sample: selection frame ( landline, mobile); weighting factors.
Categories Categories
  • Political Attitudes and Behavior
  • Political Parties, Organizations
Topics Topics
  • 11.5 Mass political behaviour, attitudes/opinion
  • 11.6 Government, political systems and organisation
  • 11.7 Elections

Methodology

Geographic Coverage
  • Germany (DE)
UniverseGerman-speaking population 14 years and older
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
Combined landline and mobile phone sample (dual-frame approach)
Mode of Collection Mode of Collection
  • Telephone interview: Computer-assisted (CATI)
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
Data Collectorforsa, Berlin
Date of Collection
  • 02.01.2019 - 20.12.2019

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-7-30 first archive edition https://doi.org/10.4232/1.13552
Errata in current version
none
Version changes

Further Remarks

Number of Units: 123546
Number of Variables: 40
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  • Forsa-Bus
    This program surveys public attitudes on a number of different political and social issues. Each day, about 500 voters are interviewed by telephone.