Predicting mental well-being based on self-compassion in divorced female students

This study aimed to predict mental well-being based on self-compassion among divorced students. The research method was descriptive-correlational and the statistical population consisted of all divorced female master students of Payame Noor University studying psychology in Tehran in the academic year 2019-2020, of whom a sample of 90 people was selected through convenience sampling method. Then, the subjects answered the Keys and Magyarmo (2003) Mental Well-Being and Self-Compassion (2003) questionnaires. For data analysis, Pearson correlation and simultaneous multiple regression were used via SPSS-22 software. The results showed that the variables of self-compassionate, judgment, common humanity, isolation, vigilance, and extreme imitation could positively and significantly predict 16, 25, and 13% of the variance of the mental well-being variable and the variables of Judgment, Isolation, and extreme replication could negatively and significantly predict 9, 3, and 21% of the variance of the mental well-being variable, respectively. Also, judgment and isolation positively and significantly could predict 10 and 19% of the variance of the mental well-being variable, respectively. And self-compassion and shared humanity could significantly and negatively predict 6% and 4% of the variance of the variable mental well-being, respectively. The results showed that compassion was a predictor of the mental well-being of divorced female students.