Predicting women's marital satisfaction based on maladaptive cognitive schemas, the moderating role of forgiveness

Articles in Press

Document Type : Original Article

Authors

1 Faculty of Psychology and Educational Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2 associate professor Faculty of Psychology and Educational Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

10.22098/jfrs.2025.18375.1265

Abstract

The present study aimed to predict marital satisfaction of women based on maladaptive cognitive schemas with the moderating role of the forgiveness. The data collection method was descriptive correlational. The statistical population of this study was all married women working in Lorestan province, from which 227 people participated in this study as a sample. The data collection tools were Young's Schema Questionnaire - Short Form, Forgiveness Scale and Relationship Satisfaction Scale (RAS). The method of this research was structural equation modeling and the collected data were analyzed using the maximum likelihood method and IMOS software version 24. The results showed that there is a negative and significant relationship between women's marital satisfaction and maladaptive cognitive schemas(-28%),a negative and significant relationship between maladaptive cognitive schemas and forgiveness(-56%), and a positive and significant relationship between women's marital satisfaction and forgiveness(53%) and Women's marital satisfaction can be predicted based on maladaptive cognitive schemas with the moderating role of the forgiveness variable. Based on the findings, the forgiveness moderates the relationship between marital satisfaction and maladaptive cognitive schemas. It is suggested that counselors pay special attention to examining maladaptive cognitive schemas and the level of forgiveness among couples in order to increase marital satisfaction

Keywords

Journal of Family Relations Studies

Articles in Press, Accepted Manuscript
Available Online from 23 December 2025

Files

History

  • Receive Date: 19 September 2025
  • Revise Date: 22 November 2025
  • Accept Date: 23 December 2025

Share

How to cite

Statistics