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Information Journal Paper

Title

Predicting the Probability of Marital Infidelity based on Self-differentiation, Family Function & Couple Burnout

Pages

  81-100

Abstract

 Aim: The purpose of this study was to investigate the probability of marital infidelity prediction based on the degree of self-differentiation, family function and couple burnout in couples living in city of Sanandaj, Iran. Methods: The research was fundamentally objective and in terms of the method of data collection, a descriptive type that was carried out in the form of a prediction correlation scheme was used. The research sample included volunteer couples experiencing infidelity who had referred to the counseling centers and family courts system. Sample size included 357 individuals filling out differentiation, couple burnout and family function questionnaires. Results were analyzed with SPSS and hierarchical regression method. Findings: The results of the study showed differentiation (B=-0/-73) and family function (B=-0/43) are negative predictors while marital burnout (B=0/31) is positive predictor for infidelity (p≤ 0/01). Cconclusion: Therefore, it can be said that training courses about differentiation and preventing couple burnout, and as a result increase in family functioning can prevent marital infidelity.

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    APA: Copy

    GOUDARZI, MAHMOUD. (2019). Predicting the Probability of Marital Infidelity based on Self-differentiation, Family Function & Couple Burnout. COUNSELING RESEARCH AND DEVELOPMENT, 18(71 ), 81-100. SID. https://sid.ir/paper/70104/en

    Vancouver: Copy

    GOUDARZI MAHMOUD. Predicting the Probability of Marital Infidelity based on Self-differentiation, Family Function & Couple Burnout. COUNSELING RESEARCH AND DEVELOPMENT[Internet]. 2019;18(71 ):81-100. Available from: https://sid.ir/paper/70104/en

    IEEE: Copy

    MAHMOUD GOUDARZI, “Predicting the Probability of Marital Infidelity based on Self-differentiation, Family Function & Couple Burnout,” COUNSELING RESEARCH AND DEVELOPMENT, vol. 18, no. 71 , pp. 81–100, 2019, [Online]. Available: https://sid.ir/paper/70104/en

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