Developing a Network Model of Marital Stability Using Literature Review

Subject Areas : Journal of Excellence in counseling and psychotherapy

Afrooz Hosseinpour ¹ , Majid Barzegar ² , Hossein Baghooli ³ , Maryam Zarnaghash ⁴

1 - 1. Department of Psychology, Marvdasht branch, Islamic Azad University, Marvdasht, Iran.
2 - Department of Psychology ,Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.
3 - Department of Psychology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.
4 - Department of Psychology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.

Received: 2024-01-31 Accepted : 2024-04-20 Published : 2024-02-20

Keywords: Designing a model, marital stability, literature review.,

Abstract :

Purpose: The aim of the present study was to identify the factors affecting marital stability using literature review.

Methodology: The current research is of a qualitative type and it tried to develop a model in the field of marital stability by using literature review. Therefore, the collection of articles published inside and outside the country, which were in the field of marital stability, was examined. A network model was developed and its validation was checked with focus groups using the fuzzy Delphi method.

Findings: The analysis of the articles indicated the extraction of 9 main variables of forgiveness, flexibility, emotion regulation, love and affection, communication skills, common goals and meaning, marital commitment, sexual satisfaction and marital intimacy that all of which affected marital stability and overshadowed the desired functioning of the family as a result.

Conclusion: Considering that the existence of complex relationships between the variables affecting marital stability in the form of a network model was confirmed by the team of research experts, therefore it is necessary for family therapists, counselors and psychologists active in the field of marriage and family, in the therapeutic interventions they provide to their clients; Pay attention to the communication network presented in this research, because based on it, it is possible to predict the success or failure of an intervention, thus preventing the wastage of consultation and treatment costs for clients.

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