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<0.001) in the first year, and in both empathetic skills and team work abilities (p<0.05) in the second. BFI results indicate that male students scored higher on agreeableness (p<0.003) and lower on neuroticism (p<0.001) in the first year while female students scored higher on agreeableness and conscientiousness (p<0.001) in the second year. Students of private schools had higher total MMI scores compared to those of public schools (p<0.05). 

Conclusion: MMI combined with the Big Five Inventory can be a useful tool in the admission process.


Keywords: Multiple Mini Interviews. Dental School Admission. Big Five Inventory. Assessment. Dental education
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Volume 12, issue 2, April-June 2020



The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.

To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here


The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.

The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:


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Deadline for submission: 7 March 2019, 16:00 (GMT)

TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:

Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019

Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).

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Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: