GESIS - DBK - ZA6280
 

ZA6280: Forsa-Bus 2015

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Bibliographic Citation

Citation Citation    forsa, Berlin (2019): Forsa-Bus 2015. GESIS Data Archive, Cologne. ZA6280 Data file Version 1.0.0, https://doi.org/10.4232/1.13306
Study No.ZA6280
TitleForsa-Bus 2015
Current Version1.0.0, 2019-6-7, https://doi.org/10.4232/1.13306
Date of Collection05.01.2015 - 30.12.2015
Principal Investigator/ Authoring Entity, Institution
  • forsa, Berlin

Content

AbstractParty and Chancellor preference. Topics: Chancellor preference for Angela Merkel or Sigmar Gabriel; economic expectations for Germany; most competent party to solve the problems in the Federal Republic; electoral behaviour in the last Bundestag election and Landtag election; party preference at Bundestag and Landtag level (Sunday question). Demography: sex; age (year of birth); marital status; cohabitation with a partner; highest school or university degree (school education); gainful employment; current or former occupational status and characteristics; household size; number of children in the household under 18; year of birth of children; net household income (classified); religious affiliation; trade union member in the household. Additionally coded: federal state; administrative district; district code; political municipality size class; survey area west/east; survey period (month); survey day and survey year; day of the week of the interview; survey period (week); serial number of the day in the year; survey mode (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 aged 14 and over
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
Mode of Collection Mode of Collection
  • Telephone interview: Computer-assisted (CATI)
31. to 46. KW: DualFrame sample with approx. 20% mobile phone numbers per day, in the remaining weeks: landline sample
Time Method Time Method
  • Longitudinal: Trend/Repeated cross-section
Kind of Data Kind of Data
  • Numeric
Data Collectorforsa, Berlin
Date of Collection
  • 05.01.2015 - 30.12.2015

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2019-6-7 first archive edition https://doi.org/10.4232/1.13306
Errata in current version
none
Version changes

Further Remarks

NotesThe dataset contains parts of multi-topic surveys conducted by forsa on a daily basis. Approximately 500 interviews were conducted per working day.
Number of Units: 125620
Number of Variables: 49
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
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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.