Understanding gendered aspects of migration aspiration and motives of university students by multivariate statistical methods
Abstract
The paper deals with the application of multivariate analysis of variance and logistic regression in measuring, explaining and evaluating (i) gender differences in expressing migration aspirations, and (ii) a gender effect on migration motivation of university students in Croatia. The results supported the thesis that migration is a complex gendering process that assumes subjective assessment of the whole set of interrelated motives. According to logistic regression, gender is a significant predictor of migration aspirations among the selected demographic and socio-economic variables. A multivariate analysis of variance showed that gender and migration aspirations in interaction matter when it comes to migration motives, particularly related to the perceived importance of social networks. Females, and especially those who aspire to migrate, assessed these motives as more important than males.
Key words: migration aspiration, migration motives, multivariate methods, gender
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