درخت حوزه‌های تخصصی

Objective: The primary aim of this study was to integrate the role of social networks and subjective norms into the theoretical framework of the investment model of relationships to predict marital stability among divorce-seeking couples in the city of Ilam. Methods: This research employed a correlational design. The statistical population included all divorce-seeking couples in Ilam during 2019–2020 who visited family courts, counseling centers, and divorce registry offices. A sample of 160 participants was selected using convenience sampling. Data collection utilized the following instruments: the Marital Instability Index (Edwards et al., 1987), the Social Networks in Marital Relationships Scale (researcher-developed, 2019), the Subjective Norms in Marital Relationships Scale (researcher-developed, 2019), and Rusbult’s Investment Model Scale (1980). Data analysis was conducted using path analysis via AMOS version 23. Findings: The findings indicated that the tested model exhibited acceptable fit. Significant positive correlations were found between marital satisfaction and marital commitment, while significant negative correlations were observed between the quality of alternative relationships and marital commitment. Additionally, relationship investment and marital commitment were significantly positively correlated. A significant relationship was identified between marital commitment and marital instability at the level of p<0.05. However, no significant relationship was observed between social networks and marital commitment or between subjective norms in marital relationships and marital commitment. Furthermore, the results demonstrated that marital commitment mediated the relationship between satisfaction with the relationship and marital instability (p≤.05), the quality of alternative relationships and marital instability (p≤.05), relationship investment and marital instability (p≤.01), and subjective norms and marital instability (p≤.05). However, marital commitment did not significantly mediate the relationship between the influence of social networks in marital relationships and marital instability. Conclusion: Based on the findings and the role of subjective norms and social networks within Rusbult’s investment model, the results of this study can be utilized in counseling centers to enhance and prevent the instability of marital relationships.

Objective: The present study aimed to compare the effectiveness of Bowen family systems therapy and couple therapy based on integrated behavioral systems on marital intimacy and family functions in couples attending counseling centers in Mahshahr county. Method: This study was a quasi-experimental design with a pre-test and post-test control group. The population of this study consisted of all couples who referred to counseling centers in Mahshahr city due to marital problems. Out of the population, 30 couples were selected through convenience sampling and were randomly assigned to three groups. The instruments used in this study were Bowen family systems therapy, couple therapy based on integrated behavioral systems, the Marital Intimacy Questionnaire (2006), and the Epstein, Baldwin, and Bishop (1983) Family Functioning Questionnaire. Data processing was conducted using descriptive and inferential statistics (covariance analysis). Findings: The results showed that there was a significant difference between the three groups in the variables of marital intimacy and family function. This means that Bowen family systems therapy and couple therapy based on integrated behavioral systems have a significant effect on these variables. Conclusion: Bowen family systems therapy and couple therapy based on integrated behavioral systems did not differ in their effectiveness on marital intimacy and family functions.

Objective: The present study aimed to determine the role of psychological flexibility, acceptance, and commitment in marital adjustment among couples. Method: This study was applied and descriptive-correlational in nature. The population included couples (both women and men) from Amol County, who were studied using a convenience sampling method involving 126 couples. Data were collected using the Cognitive Flexibility Inventory by Dennis and Vander Wal (2010), the second version of the Acceptance and Action Questionnaire by Bond et al. (2007), and the Spanier Dyadic Adjustment Scale (1976). For the analysis of data in the inferential statistics section, simultaneous multiple regression was conducted using SPSS version 21. Findings: The findings indicate that psychological flexibility, acceptance, and commitment can explain 16.9% of the variance in marital adjustment. The t-tests for significance in regression for the coefficient of psychological flexibility (β = 0.191) and acceptance and commitment (β = 0.285) were significant. Acceptance and commitment have a greater unique contribution in predicting marital adjustment among couples (α = 0.05). Conclusion: According to the results, the most significant influences on marital adjustment are acceptance and commitment, followed by psychological flexibility. It is recommended that the findings of this research be utilized to enhance marital adjustment among both women and men.