Prediction of Love Stories based on Attachment Styles and Self-differentiation in University Students

The purpose of this research was to predict love stories based on attachment styles and self-differentiation in students. This was a cross-sectional correlational research. The statistical population of this research consists of students of Rasht university in ۲۰۲۲-۲۰۲۳. ۲۲۳ people were selected by multi-stage cluster sampling method. The Love Stories Scale (Sternberg, ۱۹۹۶), Revised Adult Attachment Scale (Collins & Reid ۱۹۹۰), and Differentiation of self-inventory-short form (Drake, ۲۰۱۱), were used to collect the data. Data were analyzed using SPSS-۲۴ software and multivariate regression analysis method The findings of the study showed that attachment styles and self-differentiation can predict the love as a story of students, and the contribution of self-differentiation components was higher (۴۱.۳%). The value of the standardized regression coefficient (Beta) for the reactivity component (β=۰.۲۴۳, P<۰.۰۱), my position (β=۰.۱۶۹, P<۰.۰۱), emotional fault (P<۰.۰۱, β=۰.۱۹۴), and mixing with others (P<۰.۰۱, β=۰.۲۰۳). Thus, it was concluded that self-differentiation positively and meaningfully predicts love stories in students. The results of the current research show the importance of the role of self-differentiation and attachment styles in students, which can be effective in designing counseling programs in university counseling centers.

Keywords:

Love Stories , Attachment styles , Self-Differentiation , university students