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 |
Title | Forsa-Bus 2019 |
Current Version | 1.0.0, 2020-7-30, https://doi.org/10.4232/1.13552 |
Date of Collection | 02.01.2019 - 20.12.2019 |
Principal Investigator/ Authoring Entity, Institution |
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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. |
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Topics ![]() |
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Geographic Coverage |
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Universe | German-speaking population 14 years and older |
Analysis Unit ![]() |
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Sampling Procedure ![]() |
Combined landline and mobile phone sample (dual-frame approach)
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Mode of Collection ![]() |
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Time Method ![]() |
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Kind of Data ![]() |
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Data Collector | forsa, Berlin |
Date of Collection |
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Version | Date, Name, DOI |
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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 | |
Number of Units: | 123546 |
Number of Variables: | 40 |
Analysis System(s): | SPSS, Stata |
Relevant full texts from SSOAR (automatically assigned) | |
Research Data Centre | |
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