Prediction of guilt based on social anxiety and social-emotional loneliness in working women seeking divorce
حوزههای تخصصی:
The present study aimed to predict guilt based on social anxiety and social-emotional loneliness in working women seeking divorce. This study is applied in terms of its purpose and descriptive correlation type. The statistical population of this study consisted of all working women seeking divorce in Tehran in 2024. 200 people were selected through purposive sampling from the family counseling centers of the judiciary. The research tools included the Guilt Inventory by Kugler and Jones (1992); the Social Phobia Inventory by Connor et al. (2000) and the UCLA Loneliness Scale by Russell (1996). The research data were analyzed using stepwise regression analysis and SPSS-22 software. The results showed that there is a positive and significant relationship between social anxiety and loneliness with guilt at the 0.01 level. Social anxiety (P=0.009, β=0.183) positively and at a significance level of 0.01 predicted guilt, and loneliness (P=0.005, β=0.197) positively and at a significance level of 0.01 predicted guilt. In general, the results showed that guilt feelings are predicted based on social anxiety and social-emotional loneliness in working women seeking divorce.