Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU)
This study aimed to investigate dominant predictor components of moral intelligence (MI) based on the Lennick and Kiel's model in students of Shahid Beheshti University of Medical Sciences (SBMU).
In this descriptive-analytical study, 322 students of SBMU were chosen through cluster sampling. To collect data, a 40-item questionnaire, whose validity and reliability was confirmed in previous studies, based on the Lennick and Kiel's model was used. The collected data were analyzed by SPSS 21 software using appropriate descriptive and analytical statistics. Of 322 participants, 180 and 142 were female and male, respectively. The mean age of the participants was 22.30±2.69 years. The study’s regression analysis revealed that the most and the least direct effects were related to the forgiveness (R2=0.320) and compassion (R2=0.284) components, respectively. Among the inspected components, the responsibility component with an overall effect of R2=0.655 was shown to be the strongest predictor component of MI. Universities play a significant role in students’ moral development and enhancement. The present study’s findings suggest that developing strategic plans and interventions can enhance MI level (e.g., incentive systems for individuals maintaining high moral responsibility). Since today’s students will be tomorrow’s medical and healthcare professionals, upgrading of MI level in students studying in various divisions of medical sciences enhances their moral responsibility through setting out strong ethics principles to follow and the quality of care that they will provide to patients, thereby improving health.
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|Issue||Vol 13 (2020)|
|Moral Intelligence; Students; Medical Sciences; Lennick and Kiel’s Model.|
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