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metadata language: German English

Forsa-Bus 2018

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • forsa, Berlin
Publication Date
2020-02-05
Contributor
  • forsa, Berlin (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
    • Political Parties, Organizations
  • CESSDA Topic Classification:
    • Mass political behaviour, attitudes/opinion
    • Government, political systems and organisation
    • Elections
Description
  • Abstract

    Party and Chancellor preference Topics: Chancellor preference for Angela Merkel or Olaf Scholz, for Angela Merkel or Martin Schulz respectively for Annegret Kramp-Karrenbauer or Olaf Scholz; 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.
Temporal Coverage
  • 2018-01-02 / 2018-12-21
Geographic Coverage
  • Germany (DE)
Sampled Universe
German-speaking population aged 14 and over
Sampling
Probability: Multistage
Time Dimension
  • Longitudinal: Trend/Repeated cross-section
Collection Mode
  • Telephone interview: CATI
  • DualFrame sample (landline, mobile phone)
Data and File Information
  • Number of Variables: 39
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA6706 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2020-10-21 | Issue Number: 14 | Registration Date: 2020-02-05

forsa, Berlin (2020): Forsa-Bus 2018. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13428