چکیده مقاله
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 21 software Results: Of the 322 students included in this study, 180 were female and 142 male The mean age of the participants was 22 30±2 69 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 R2=0 320 and the least direct effect was related to the compassion component R2=0 284 Among the investigated components, responsibility with an overall effect of R2=0 655 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
کلیدواژهها
نویسندگان
شیوه ارجاع
Mohammadi, Maryam and Mohammadi, Shabnam and Mehri, Ali and Bagheri Mazraeh, Fatemeh,1401,Investigation of moral intelligence’s predictive components in students of Shahid Beheshti university of medical sciences,Ninth International Conference on Health, Treatment and Health Promotion
ارائهشده در
مجموعه مقالات نهمین کنفرانس بین المللی بهداشت، درمان و ارتقای سلامت31 فروردین 1401