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        1 - Predicting Marital Infidelity based on Behavioral Inhibition and Activation Systems and Couples' Communication Patterns
        Sara Arab Atefeh Nazeriyeh Afsane Dehghan MohammadReza Habibniya
        Predicting Marital Infidelity based on Behavioral Inhibition and Activation Systems and Couples' Communication PatternsPurpose: The current research was conducted with the purpose of marital infidelity based on behavioral inhibition and activation systems and couples' c More
        Predicting Marital Infidelity based on Behavioral Inhibition and Activation Systems and Couples' Communication PatternsPurpose: The current research was conducted with the purpose of marital infidelity based on behavioral inhibition and activation systems and couples' communication patterns.Methodology: The present research method was descriptive, correlational. The statistical population studied in this research was married undergraduate and graduate students of Tehran University. Among them, based on Green's (1992) sample size formula, 248 people who met the criteria for entering the research were selected by simple random sampling. The research data was collected through Mark Watley's (2006) betrayal attitude questionnaire, Carver and White's behavioral brain systems questionnaire (1994) and Ritchie and Fitzpatrick's communication patterns questionnaire (1994) and simultaneous regression was used to examine the hypotheses and analyze the data.Findings: Examining the research results showed that marital infidelity has a negative and meaningful relationship with the behavioral inhibition system and a positive and meaningful relationship with the behavioral activation system. (p = 0.01). The correlation of marital infidelity with the orientation of dialogue and listening is negative and with the orientation of conformity is positive and significant (p=0.01). Also, the behavioral activation system has a greater unique contribution in predicting marital infidelity.Conclusion: Based on the obtained results, marital infidelity can be predicted based on brain behavioral systems and couples' communication patterns in married students. Manuscript profile