Document Type : Research Article

Authors

1 Department of Psychology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

2 Department of Psychology, Abdanan Branch, Islamic Azad University, Abdanan, Iran

3 Department of Psychology, Shiraz Branch, Islamic Azad University, Shiraz, Iran

10.30476/whb.2025.104101.1313

Abstract

Background: Understanding the factors that influence divorce can help individuals and couples make informed decisions about their relationships and seek appropriate support. The study aimed to investigate the correlation between self-differentiation and emotional experiences towards the spouse and the probability of divorce among married female students.
Methods: This study used a descriptive-correlational design to examine the relationship between divorce probability, selfdifferentiation, and emotional experiences in married female students at Islamic Azad University of Ahvaz, Iran in 2023. A convenience sample of 304 participants was selected. Data were collected using the Divorce Probability Questionnaire (DPQ), Differentiation of Self Inventory (DSI), and Experiences of Emotions Towards Spouse Questionnaire (EETSQ). Data analysis was conducted using SPSS version 27. Correlation coefficients and regression were employed to examine the correlations between the variables.
Results: The results revealed a significant negative correlation between self-differentiation and the probability of divorce (r=- 35, P=0.001). Additionally, emotional experiences towards the spouse were negatively and significantly correlated with the probability of divorce (r=-33, P=0.001).
Conclusions: The findings suggested that self-differentiation and emotional experiences towards the spouse are significantly correlated with the probability of divorce among married female students. By understanding the importance of self-differentiation and positive emotional experiences, interventions can be developed to help couples strengthen their relationships and reduce the risk of divorce.

Highlights

Hamdollah Jayervand: (Google Scholar)

Keywords