Investigation of moral intelligence’s predictive components in students of Shahid Beheshti university of medical sciences

Introduction: The purpose of this study was to investigate the most important predictor components of moral intelligence in students of Shahid Beheshti University of Medical Sciences.Methodology: This was a descriptive-analytical study. The students were selected by cluster sampling from Shahid Beheshti University of Medical Sciences. A questionnaire based on the Lennick & Kiel model was used for data collection, and its validity and reliability were confirmed. The data were analyzed using SPSS ۲۱ software.Results: Of the ۳۲۲ students included in this study, ۱۸۰ were female and ۱۴۲ male. The mean age of the participants was ۲۲.۳۰±۲.۶۹. Regarding the determination of the strongest predictor of moral intelligence, the results of regression analysis showed that the highest direct effect was related to the forgiveness component (R۲=۰.۳۲۰) and the least direct effect was related to the compassion component (R۲=۰.۲۸۴). Among the investigated components, responsibility with an overall effect of R۲=۰.۶۵۵ was the strongest predictor of moral intelligence.Conclusion: According to the results of this study, planning and interventions can be made to improve the level of moral intelligence through approaches such as encouraging behavior based on moral responsibility, which can also be an effective step in improving the health of clients.

کلیدواژه ها:

Moral Intelligence ، Students ، Medical Sciences ، Lennick & Kiel Model