Back to Search
Start Over
The effect of personality traits on undergraduate dental students' performance in multiple mini interviews
- Source :
- Electronic Physician, Vol 9, Iss 5, Pp 4322-4329 (2017), Electronic Physician
- Publication Year :
- 2017
- Publisher :
- Knowledge Kingdom Publishing, 2017.
-
Abstract
- Background: Multiple mini interviews (MMI) is a structured student selection method where applicants rotate around a series of stations that do not require previously learned knowledge. The Big Five Inventory (BFI) is a tool often used to measure personality traits commonly used in applicant selection. Objective: The aim of the current study was to assess the effect of personality traits using the BFI on undergraduate dental students' performance in MMI. Methods: This research was conducted at The Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia. All undergraduates applying to the dental program at King Abdulaziz University, Faculty of Dentistry (KAUFD) in two academic years [(2014-2015) and (2015-2016)] undertook the MMI held at KAUFD and completed the BFI inventory with a total number of 350 students. The MMI consisted of five stations while the BFI contained forty-four items. Data were analysed by SPSS version 20, using independent-samples t-test, Mann- Whitney U test, Spearman’s rho correlation coefficient and Chi-square test. Results: female students scored higher than their male counterparts but scores were only significant in the empathy station (p
- Subjects :
- Agreeableness
media_common.quotation_subject
education
Empathy
Assessment
Dental School Admission
03 medical and health sciences
Big Five Inventory
0302 clinical medicine
Dental education
030212 general & internal medicine
Big Five personality traits
media_common
lcsh:R5-920
030504 nursing
Conscientiousness
Multiple Mini Interviews
Neuroticism
Test (assessment)
Mann–Whitney U test
Original Article
lcsh:Medicine (General)
0305 other medical science
Psychology
Clinical psychology
Subjects
Details
- ISSN :
- 20085842
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Electronic physician
- Accession number :
- edsair.doi.dedup.....3c40cb464534be26ca8ec6616a0d6550
- Full Text :
- https://doi.org/10.19082/4322