Prediction of the Likelihood of Marriage and Non-marriage in Divorced Women Based on Personality Traits and Psychological Well-being

Document Type : Original Article

Authors

1 M.A in general Psychology, Islamic Azad University, ShahrGhods branch, ShahrGhods, Iran.

2 Assistant professor, Islamic Azad University, Astara branch, Astara, Iran.

Abstract

Background: Marriage is one of the most important protective factors of persons’ subjective wellbeing. For most people, their relationship with the spouse or the partner is the most important interpersonal relationship throughout their lives.

Objectives: The aim of present study was a prediction of the likelihood of marriage and non-marriage in divorced women based on personality traits and psychological well-being.

Methods: The method of this research was descriptive and correlational and statistical society consisted of all divorced women who are a member of the supporting association of divorced women in Region 2 of Tehran in the winter and spring of 2015 and 2016. 200 persons were chosen by purposive and available sampling. For data collection, the participants responded to the Reef’s psychological well-being questionnaires and NEO-Five Factor Inventory. Logistic regression was used to analyze the data.

Results: The results showed that among the psychological well-being dimensions, the environmental mastery dimension predicts the likelihood of remarriage positively (P<0.01) and autonomy dimension negatively (P< 0.05).

Conclusion: Among personality factors, agreeableness and openness to experience dimensions predict the likelihood of remarriage positively (P<0.05) and neuroticism negatively (P<0.05).

Keywords

Open Access Policy: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

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Razavi International Journal of Medicine
Volume 6, Issue 1
January 2018
Pages 46-53

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