Love Stories

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 2022-2023. 223 people were selected by multi-stage cluster sampling method. The Love Stories Scale (Sternberg, 1996), Revised Adult Attachment Scale (Collins & Reid 1990), and Differentiation of self-inventory-short form (Drake, 2011), were used to collect the data. Data were analyzed using SPSS-24 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 (41.3%). The value of the standardized regression coefficient (Beta) for the reactivity component (β=0.243, P<0.01), my position (β=0.169, P<0.01), emotional fault (P<0.01, β=0.194), and mixing with others (P<0.01, β=0.203). 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.