GESIS - DBK - ZA6723
 

ZA6723: Government Monitor (November 2018)

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Bibliographic Citation

Citation Citation Presse- und Informationsamt der Bundesregierung, Berlin (2019): Government Monitor (November 2018). GESIS Data Archive, Cologne. ZA6723 Data file Version 1.0.0, https://doi.org/10.4232/1.13304
Study No.ZA6723
TitleGovernment Monitor (November 2018)
Current Version1.0.0, 2019-6-28, https://doi.org/10.4232/1.13304
Date of Collection12.11.2018 - 15.11.2018
Principal Investigator/ Authoring Entity, Institution
  • Presse- und Informationsamt der Bundesregierung, Berlin

Content

AbstractGeneral political attitudes and opinions on current political issues. Political tasks. Topics: Most important problem in Germany; party preference; political interest; assessment of the Federal Government´s commitment to long-term problems; importance of improvements in selected policy areas (e.g. reintegration of the long-term unemployed, compatibility of family and work, better integration of foreigners in Germany, climate protection, etc.); assessment of the Federal Government´s progress in these areas. Refugees: refugees or asylum seekers in the residential area; rather positive or negative experiences with refugees or asylum seekers in the residential area and in Germany; agreement with various statements about refugees in Germany (increase in crime, cover the need for qualified labour, cultural enrichment, return of most refugees to their home country, Germany cannot afford refugees, good accommodation and care of refugees, help against an ageing population in Germany). Digitisation: rather personal advantages or disadvantages due to digitisation; effects of digitisation on the labour market (creation vs. loss of jobs or no effects); evaluation of the pace of digitisation; evaluation of the contribution to the progress of digitisation by the Federal Government. Demography: sex; age; marital status; cohabitation with a partner; school leaving certificate or desired school leaving certificate; university degree; educational qualification; occupational activity; job security; occupational status and characteristics; household size; number of persons in the household aged 18 and over; trade union member in the household; denomination; frequency of churchgoing; number of telephone numbers in the household. Additionally coded was: respondent ID; federal state entitled to vote; district membership Berlin formerly west/east; city size; weighting factor.
Categories Categories
  • Political Attitudes and Behavior
Topics Topics
  • 11.1 Domestic political issues
  • 11.5 Mass political behaviour, attitudes/opinion
  • 2.2 Migration

Methodology

Geographic Coverage
  • Germany (DE)
UniverseResident population aged 18 and over in private households
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
Mode of Collection Mode of Collection
  • Telephone interview: Computer-assisted (CATI)
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorIPOS Institut für Praxisorientierte Sozialforschung, Mannheim
Date of Collection
  • 12.11.2018 - 15.11.2018

Errata & Versions

VersionDate, Name, DOI
1.0.0 (current version)2019-6-28 first archive edition https://doi.org/10.4232/1.13304
Errata in current version
none
Version changes

Further Remarks

Links
NotesThe study was carried out on behalf of the Federal Press Office.
Number of Units: 1004
Number of Variables: 77
Data Type: SPSS, Stata
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  • Surveys commissioned by the Press and Information Office of the Federal Government
    The ´Press and Information Office of the Federal Government´ (Presse- und Informationsamt der Bundesregierung) infoms citizens and media about the work of the federal government. Above all the office informs the federal government of the news in Germany and worldwide and explores the public opinion.

    All studies can be ordered informally and free of charge from dataservices@gesis.org, stating the study number and title.