Multiple mini-interviews as a predictor of academic achievements during the first 2 years of medical school. (December 2016)

• Record Type: Journal Article
• Authors: Lee, Hee; Park, Sung; Park, Sung; Park, Won; Ryu, Sook-Won; Yang, Jeong; Na, SungHun; Won, Jun; Chae, Gi
• Is Part Of: BMC research notes. Volume 9:Number 1(2016)
• Page Start: 1
• Page End: 7
• Publication Date: 2016-12
• Subjects: Multiple mini-interviews -- Critical thinking -- Professionalism -- Communication skills; Medicine -- Periodicals; Biology -- Periodicals; 610.5
• DOI: 10.1186/s13104-016-1866-0
• Languages: English
• ISSNs: 1756-0500

Abstract

Abstract Background Recently, conventional interviews have been replaced with the multiple mini-interviews (MMI) for medical student selection in Korea. We first introduced the MMI as a new admissions tool in Korea. The aim of this study is to determine whether the MMI accurately predicts academic achievement on both written and performance-based examinations during the first 2 years of medical school. Methods The original scores of each station were standardized to T-scores in the candidates group. Three cohorts of students were included depending upon the year they entered medical school. Pearson's correlations were calculated to estimate the correlations between MMI scores and academic achievements. Additional correlated factors were run through multiple stepwise linear regression analysis to estimate predictive validity. Results There were no differences between T-scores or grade point averages (GPA) among the cohorts. The correlation coefficients between total MMI scores and academic achievement in Year 1 and the Year 2 performance-based examinations ranged from 0.17 to 0.43. Station 1 significantly predicted academic achievement over the second year. Station 3 significantly predicted only performance-based examination performance over the second year. Conclusion MMI is a useful tool to assist with medical student selection. In particular, critical thinking, professionalism, and presentation and communication skills may be meaningful topics for predicting academic achievements, especially in performance-based subjects.