The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
Current Questions on Migration / Integration (January 2023)
Creator
Presse- und Informationsamt der Bundesregierung, Berlin
Study number / PID
ZA7928, Version 1.0.0 (GESIS)
10.4232/1.14123 (DOI)
Data access
Information not available
Series
Not available
Abstract
The short survey on current questions on migration / integration was conducted by the opinion research institute Kantar on behalf of the Press and Information Office of the Federal Government. During the survey period 18.01.2023 to 24.01.2023, the German-speaking population aged 14 and over was surveyed in telephone interviews (CATI) on their attitudes toward migration and integration. The focus is on attitudes toward refugee issues and citizenship law. Respondents were selected by a multi-stage random sample in a multi-topic survey (Emnid-bus) including landline and mobile phone numbers (dual-frame sample).Concerns about the current numbers of refugees in Germany; short-term and long-term prognosis regarding the advantages or disadvantages for Germany of accepting refugees; agreement with statements on the subject of immigration to Germany (integration of immigrants into German society has been good so far, all in all, there are already so many immigrants living in Germany that no more can be taken in, crime in Germany is rising very sharply as a result of immigration, I think it is good that Germany is becoming more culturally diverse as a result of immigration); satisfaction with the federal government´s immigration policy in various areas (dealing with the population´s concerns about immigration, how the goals and measures of immigration policy are explained to the population, efforts to date to integrate immigrants into the German labor market, efforts to date to find a European solution for immigration to Europe); opinion on rather simplified or rather more difficult regulations for immigration for the following groups: refugees from Ukraine, refugees from Syria or Afghanistan, refugees from other countries, skilled workers from non-European countries; attitude towards citizenship law (German citizenship in the future not after 8 years but already after 5 years in Germany, no giving up of citizenship of the country of origin, no naturalisation test and only...
Many but not all metadata providers use ELSST Thesaurus for their keywords.
Keywords
Not available
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
18/01/2023 - 24/01/2023
Country
Germany
Time dimension
Cross-section
Analysis unit
Not available
Universe
Not available
Sampling procedure
Probability: Multistage
Probability sample: Multi-stage random sample; combined fixed-network and mobile sample (dual-frame approach (64,4 % fixed network, 35,6 % mobile) as part of a multi-topic survey (Emnid bus).
The telephone numbers of the fixed network sample were generated using the "Random Last Two Digits - RL(2)DV method" based on the Gabler/Häder method. Within the households, the persons to be interviewed were systematically selected by random key.
The mobile phone sample was drawn in the same way, but the regional stratification was omitted, since no regional information on the number trunks is available from the ADM mobile phone sample. Since mobile phones are used almost exclusively by one person, systematic target selection was also omitted for the mobile phone sample.
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.