Dataset on the cultural integration of Muslim immigrants goes online
The international research project EURISLAM has published data of its survey in the data archive of DANS. The data give a systematic analysis of cross-national differences and similarities in countries’ approaches to the cultural integration of immigrants in general and Muslims in particular.
The survey captures aspects of individual attitudes and behaviour of cultural interaction of Muslim immigrants with the host society. The countries studied in the research project are Belgium, France, Germany, The Netherlands, Switzerland and the United Kingdom.
Variables in the dataset
The dataset contains 290 variables and 7720 cases. On the one hand the survey focused on:
- attitudes, norms, and values, particularly those relating to democratic norms, gender relations and family values;
- ethnic, religious, and receiving society identification, and;
- attitudes towards relations across ethnic and religious boundaries.
On the other hand, the survey looked at:
- cultural and religious resources and practices, such as language proficiency;
- adherence to various religious practices (e.g., attendance of religious services or wearing of a headscarf);
- interethnic and interreligious partnerships and marriages;
- the frequency and quality of interethnic and interreligious relationships with neighbours, friends, and colleagues, and;
- memberships in social and political organisations of the own ethnic and religious group as well as of the receiving society.
Sample sizes for Muslim groups and ethnic majority non-Muslim comparison group
The EURISLAM research project is a European comparative research project funded in the 7 th Framework Programme for Research – Social Science and Humanities of the European Commission. The research program lasted from 2009 to 2012 and produced a triangulation of research findings in which different methodologies were used resulting in a combination of quantitative and qualitative insights.
Contact for more information: H.W.Hoksbergen@uva.nl