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....
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Tehran University of Medical Sciences
2020-09-01
|
Series: | Journal of Medical Ethics and History of Medicine |
Subjects: | |
Online Access: | https://jmehm.tums.ac.ir/index.php/jmehm/article/view/640 |
id |
doaj-182bd7f3e6d342a492f47aa461ff79be |
---|---|
record_format |
Article |
spelling |
doaj-182bd7f3e6d342a492f47aa461ff79be2021-09-11T05:41:14ZengTehran University of Medical SciencesJournal of Medical Ethics and History of Medicine2008-03872020-09-011310.18502/jmehm.v13i13.4389Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU)Maryam Mohammadi0Shabnam Mohammadi1Ali Mehri2Fatemeh Bagheri Mazraeh3Assistant Professor, Health Education and Health Promotion, Department of Public Health, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.Assistant Professor, Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.Assistant Professor, Department of Health Education, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.Researcher, Student of Public Health, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 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. https://jmehm.tums.ac.ir/index.php/jmehm/article/view/640Moral Intelligence; Students; Medical Sciences; Lennick and Kiel’s Model. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maryam Mohammadi Shabnam Mohammadi Ali Mehri Fatemeh Bagheri Mazraeh |
spellingShingle |
Maryam Mohammadi Shabnam Mohammadi Ali Mehri Fatemeh Bagheri Mazraeh Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU) Journal of Medical Ethics and History of Medicine Moral Intelligence; Students; Medical Sciences; Lennick and Kiel’s Model. |
author_facet |
Maryam Mohammadi Shabnam Mohammadi Ali Mehri Fatemeh Bagheri Mazraeh |
author_sort |
Maryam Mohammadi |
title |
Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU) |
title_short |
Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU) |
title_full |
Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU) |
title_fullStr |
Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU) |
title_full_unstemmed |
Investigation of moral intelligence’s predictive components in students of Shahid Beheshti University of Medical Sciences (SBMU) |
title_sort |
investigation of moral intelligence’s predictive components in students of shahid beheshti university of medical sciences (sbmu) |
publisher |
Tehran University of Medical Sciences |
series |
Journal of Medical Ethics and History of Medicine |
issn |
2008-0387 |
publishDate |
2020-09-01 |
description |
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.
|
topic |
Moral Intelligence; Students; Medical Sciences; Lennick and Kiel’s Model. |
url |
https://jmehm.tums.ac.ir/index.php/jmehm/article/view/640 |
work_keys_str_mv |
AT maryammohammadi investigationofmoralintelligencespredictivecomponentsinstudentsofshahidbeheshtiuniversityofmedicalsciencessbmu AT shabnammohammadi investigationofmoralintelligencespredictivecomponentsinstudentsofshahidbeheshtiuniversityofmedicalsciencessbmu AT alimehri investigationofmoralintelligencespredictivecomponentsinstudentsofshahidbeheshtiuniversityofmedicalsciencessbmu AT fatemehbagherimazraeh investigationofmoralintelligencespredictivecomponentsinstudentsofshahidbeheshtiuniversityofmedicalsciencessbmu |
_version_ |
1717756921892569088 |