A Quantile Regression Analysis of Students’ Social Exclusion Levels
A Quantile Regression Analysis of Students’ Social Exclusion Levels

Summary/Abstract: Social exclusion means that the individual is excluded when compared to members of the community in which he or she lives. The purpose of the study to explore socio-demographic characteristics associated with the social exclusion of university students. There were 287 university students in our study group. The students completed a questionnaire including sociodemographic characteristics and social exclusion scale. Quantile regression analysis at the 10th, 50th and 90th percentile was used to examine the social exclusion levels of the students. As a result of this analysis we determined the variables that are significant in different quantiles. In the 10th quantile, the gender, economic situation and accommodation variables were found to be significant, while in the 50th quantile, the variables of gender, mother occupation, economic situation, and accommodation were statistically significant. Gender, grade, mother occupation, and economic situation were found to be significant in the last quantile.

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