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metadata language: German English

Forsa-Bus 2019

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • forsa, Berlin
Publication Date
2020-07-30
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 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.
Temporal Coverage
  • 2019-01-02 / 2019-12-20
Geographic Coverage
  • Germany (DE)
Sampled Universe
German-speaking population 14 years and older
Sampling
Probability: Multistage; Sampling Procedure Comment: Combined landline and mobile phone sample (dual-frame approach)
Time Dimension
  • Longitudinal: Trend/Repeated cross-section
Collection Mode
  • Telephone interview: CATI
Data and File Information
  • Number of Variables: 40
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
  • ZA6850 (Type: ZA-No.)
  • WAHLEN (Type: FDZ)

Update Metadata: 2020-10-21 | Issue Number: 14 | Registration Date: 2020-07-30

forsa, Berlin (2020): Forsa-Bus 2019. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13552