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

Aim: The purpose of this research was to predict love stories based on attachment styles and selfdifferentiation in female university students. Attachment styles and self-differentiation can be effective in creating each person's love story. Methods: This was a cross-sectional correlational research. The statistical population of this research consists of female students of Rasht University in 2022-2023. 223 people were selected by the 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. Results: The results of the present study showed that the dimensions of secure attachment hurt the dimension of asymmetric stories, and avoidant attachment and anxious attachment had a positive and significant effect (P<0.001). Likewise, the dimensions of secure attachment hurt the thematic dimension and avoidant attachment had a positive and significant effect (P<0.001). However, anxious attachment did not have a significant effect on the theme. At the same time, the dimensions of secure attachment hurt the dimension of participation and avoidant attachment had a positive and significant effect (P<0.001). However, anxious attachment did not have a significant effect on participation. Also, the results showed that the dimensions of secure attachment had a significant and negative effect on the dimension of genre. However, anxious attachment and avoidant attachment did not have a significant effect on genre. At the same time, attachment dimensions hurt the genre narrative dimension and Avoidant attachment had a positive and significant effect (P<0.001). However, anxious attachment did not have a significant effect on the narrative genre. Also, the results showed that for the self-differentiation variable, the dimension of my position had a negative and significant effect on the dimension of asymmetric stories (P<0.001). However, the dimensions of emotional reactivity, emotional detachment, and blending with others did not have a significant effect on the dimension of asymmetric stories. Likewise, the dimensions of emotional reactivity, emotional detachment, and blending with others did not have a significant effect on the thematic dimension, but my position dimension had a negative and significant effect on the thematic dimension (P<0.001). At the same time, it shows that the dimensions of emotional reactivity, emotional detachment, blending with others, and my position had a significant effect on the dimension of participation (P<0.001). Also, the dimensions of emotional reactivity, emotional detachment, blending with others, and my position had a significant effect on the dimension of the genre (P<0.001). Also, the dimensions of emotional reactivity, emotional detachment, blending with others, and my position had a significant effect on the narrative genre dimension (P<0.001). Conclusion: Thus, it was concluded that self-differentiation positively and meaningfully predicts love stories in female students. The results of the current research show the importance of the role of self-differentiation and attachment styles in female students, which can be effective in designing counseling programs in university counseling centers. [ABSTRACT FROM AUTHOR]