Summary information

Study title

Attitudes Towards Political Fields of Duty 2021 (Cumulated Data Set)

Creator

Presse- und Informationsamt der Bundesregierung, Berlin

Study number / PID

ZA7695, Version 4.0.0 (GESIS)

10.4232/1.13925 (DOI)

Data access

Information not available

Series

Not available

Abstract

Attitudes towards political fields of duty. Flash: Assessment of the work of the federal government consisting of CDU/CSU and SPD as a whole; the importance of different political tasks (to provide good educational opportunities, to ensure internal security, to secure long - term pension provision, to ensure a clean environment and to protect the climate, to ensure social justice, to distribute the tax burden fairly, to regulate the immigration of foreigners, to improve data protection for citizens and businesses, to improve conditions for families with children, to combat unemployment, to modernize health care system, to represent German interests in the EU and abroad, to provide affordable electricity prices, to limit public debt, to promote new technologies, to strengthen consumer protection, to improve the conditions of care, to create conditions for economic growth, to integrate refugees, as well as provide affordable housing); assessment of the Federal Government in the aforementioned political tasks. Demography: sex; age; education; employment status; household size; number of persons aged 14 and over in the household; party preference; eligible to vote; household income; survey by mobile phone or landline phone. Additionally coded was: respondent-ID; month / wave; serial number; weighting factor; date of interview; size of location (BIK regions); federal state; survey area west / east.

Keywords

Not available

Methodology

Data collection period

13/01/2021 - 07/12/2021

Country

Germany

Time dimension

Longitudinal: Trend/Repeated cross-section

Analysis unit

Not available

Universe

Not available

Sampling procedure

Probability: Multistage

Kind of data

Not available

Data collection mode

Telephone interview: Computer-assisted (CATI)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2022

Terms of data access

0 - Data and documents are released for everybody.

Related publications

Not available