Measurement Invariance of central Social Science and Health Constructs among Syrian, Iraq and Afghan Refugee Groups in Germany

Research output: Preprint/documentation/reportWorking paper

Abstract

Kadel J, Menold N, von Hermanni H. Measurement Invariance of central Social Science and Health Constructs among Syrian, Iraq and Afghan Refugee Groups in Germany. PH-LENS Working Paper Series. Vol 4. Bielefeld: Universität Bielefeld; 2022.(Forced) migration is a major issue all over Europe. To assess requirements and needs of refugees, self-reports such as surveys are a relevant data collection method. Nevertheless, most measurement instruments are developed and validated in Western contexts. Due to i.e. cultural and language differences, comparability cannot be taken for granted. With the help of multi-group confirmatory analyses and here measurement invariance analysis, it can be assessed if data fulfil prerequisites for statistical comparisons. We test four frequently used scales within social science and public health research (Brief-Resilient Coping-Scale, Attitudes towards Democracies, Loneliness, Locus of Control) with regard to their comparability amongst the three major refugee groups in Germany (Syria, Iraq, Afghanistan). Using data from the refugee sample of the Socioeconomic Panel (IAB-BAMF-SOEP) we investigate if configural, metric and scalar invariance – the three in context of survey research relevant types of measurement invariance – can be supported. For three out of four constructs, we fail to reproduce the factor solutions, that were suggested in the literature and found therefore limited configural invariance. Improvement could be reached by weakening theoretical assumptions about factorial structure. Scalar invariance – a prerequisite for meaningful mean comparison – was supported for none of the models. We conclude that statistical comparisons between the different populations are not given or at least restricted in the SOEP refugee sample

Details

Original languageEnglish
Publication statusPublished - 1 Jan 2022
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External IDs

ORCID /0000-0003-1106-474X/work/151436780

Keywords

Keywords

  • ddc:300