Summary information

Study title

Attitudes Towards Political Fields of Duty 2022 (Cumulated Data Set)

Creator

Presse- und Informationsamt der Bundesregierung, Berlin

Study number / PID

ZA7839, Version 4.0.0 (GESIS)

10.4232/1.14134 (DOI)

Data access

Information not available

Series

Not available

Abstract

The survey on attitudes towards political fields of duty was conducted by Kantar on behalf of the Press and Information Office of the German federal government. Persons aged 14 and older were surveyed in telephone interviews (CATI) on the following topics: attitudes towards political fields of duty and assessment of the federal government in these areas. Respondents were selected using a multistage random sample including landline and mobile phone numbers (dual-frame sample).
Assessment of the work of the federal government of SPD, Bündnis90/die Grünen and FDP as a whole; importance of various policy fields (fighting unemployment, creating framework conditions for economic growth, strengthening consumer protection, regulating the immigration of foreigners, distributing the tax burden fairly, improving conditions for families with children, modernizing the health care system, ensuring social justice, promoting new technologies, securing retirement pensions in the long term, limiting the national debt, ensure internal security, represent German interests abroad, ensure a clean environment and protect the climate, provide good educational opportunities, ensure affordable electricity prices, improve the conditions of care, represent German interests in the EU, better protect the data of citizens and companies, speed up the energy transition, integrate refugees into German society, and provide affordable housing); assessment of the federal government in the aforementioned political task areas. Demography: sex; age; education; employment status; household size; number of persons in household aged 14 and older; party preference; voter eligibility; net household income; survey via mobile or landline. Additionally coded: ID; month/wave; serial respondent number; weighting factor; interview date; city size (BIK); federal state; survey area west/east.

Keywords

Not available

Methodology

Data collection period

12/01/2022 - 13/12/2022

Country

Germany

Time dimension

Longitudinal: Trend/Repeated cross-section

Analysis unit

Not available

Universe

Not available

Sampling procedure

Probability: Multistage
Probability sample: Multi-stage random sample. Combined landline and mobile sample in a ratio of 80 % landline to 20 % mobile (dual-frame approach).

Kind of data

Not available

Data collection mode

Telephone interview: Computer-assisted (CATI)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2023

Terms of data access

0 - Data and documents are released for everybody.

Related publications

Not available