GESIS - DBK - ZA6705
 

ZA6705: Forsa-Bus 2017

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ZA6705 Downloads and Data Access

List of Files

List of Files
 

Datasets

  • ZA6705_v1-0-0.dta (Dataset Stata) 11 MBytes
  • ZA6705_v1-0-0.sav (Dataset SPSS) 15 MBytes

Questionnaires

  • ZA6705_fb.pdf (Questionnaire) 143 KBytes
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Bibliographic Citation

Citation Citation forsa, Berlin (2020): Forsa-Bus 2017. GESIS Data Archive, Cologne. ZA6705 Data file Version 1.0.0, https://doi.org/10.4232/1.13427
Study No.ZA6705
TitleForsa-Bus 2017
Current Version1.0.0, 2020-2-5, https://doi.org/10.4232/1.13427
Date of Collection02.01.2017 - 22.12.2017
Principal Investigator/ Authoring Entity, Institution
  • forsa, Berlin

Content

AbstractParty and Chancellor preference Topics: Chancellor preference for Angela Merkel or Sigmar Gabriel respectively for Angela Merkel or Martin Schulz; economic expectations for Germany; most competent party to solve the problems in the Federal Republic; voting behaviour in the last federal elections and state election; party preference at federal and state parliament level (Sunday question). Demography: sex; age (year of birth); marital status; living together with a partner; employment status; group membership if not employed; education; occupational status and characteristics; household size; number of children under 18 in household; net household income; religious denomination; union member in the household. Additionally coded: federal state; administrative district; district code; political municipality size class; survey area west/east; date of interview (year, month, day); day of the week of the interview; survey period (week); sample: sampling frame (landline, mobile); weighting factors.

Methodology

Geographic Coverage
  • Germany (DE)
UniverseGerman-speaking population aged 14 and over
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
DualFrame sample (landline, mobile phone)
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
  • 02.01.2017 - 22.12.2017

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2020-2-5 first archive edition https://doi.org/10.4232/1.13427
Errata in current version
none
Version changes

Further Remarks

Number of Units: 124162
Number of Variables: 38
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.