Using discriminant analysis to study the discrinimation issue of refugees and migrants from MENA region in European countries

In the last years and after the arrival of a significant number of migrants, asylum seekers, and refugees. Foreigners from MENA region started facing numerous issues in the host countries. One of the major issues that the refugees and migrants are facing now adays is discrimination. As most of the studies exposes that this topic is recently debatable among the European governments. Likewise, the literature review on this matter shows that most of the European countries who welcomed refugees in large numbers were more able to understand and keep away factors that drive to discrimination. It is well known that are many factors that lead to discrimination such as the difference in nationalities, religion, and gender. Although there are different places where the migrants and refugees can feel discriminated for instance: public authorities, workplace, schools, and universities. Moving on to the methodology used in this paper is the quantitative method, we conducted an online survey distributed on refugees and youth migrants in both languages (English and Arabic) that are living in European countries. We tried in our survey to ask questions related to discrimination, in order to understand how they are dealing with this issue and to what extent is discrimination affecting them. For that reason, we used the discriminant analysis. the discriminant analysis feature is split into a 2-step process firstly is testing significance of a series of functions that most affect the migrations as the results of the discriminant analysis had shown us that the number of years lived in Europe was directly affected by discrimination, in addition to the classification. As using the discriminant analysis was an efficient way to study the main factors affected by discrimination.