Predicting Marital Satisfaction Based on the Personality Traits of Married Women: The Mediating Role of Coping Strategies
Keywords:
Marital satisfaction, personality traits, coping strategiesAbstract
This study aimed to predict the marital satisfaction of married female students of Shahid Beheshti University of Tehran based on the components of personality characteristics with the mediating role of coping strategies. The current research method is an exploratory-sequential and guided correlation. The statistical population of the research consists of all married female undergraduate and graduate students of Shahid Beheshti University of Tehran who were studying in the 2018-2019 academic year, and the sample size was 350 people. The non-random sampling method is available and voluntary. Four questionnaires were used to collect research data: Enrich's marital satisfaction, NEO's personality questionnaire, and Rezakhani's coping strategies questionnaire. Data were analyzed using inferential statistics, which includes the use of the correlation method, path analysis to provide a pattern, and multiple regression to examine the relationship between variables and the dimensions associated with each variable. The results showed that among the components of personality traits, the relationship between neuroticism and marital satisfaction of married women is negative and significant, and the relationship between conscientiousness, openness, agreeableness, and extroversion with marital satisfaction of married women is positive and significant. Also, the results showed that neuroticism contributes more significantly to explaining married women's marital satisfaction (p<0.001). Further, the results showed that personality traits with the mediating role of coping strategies had a positive and significant effect on the marital satisfaction of married female students of Shahid Beheshti University.
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Copyright (c) 2020 Faezeh Sedighi, Farideh Dokaneifard, Simindokht Rezakhani (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.