Admission assessment criteria in predicting students' academic performance in newly established medical school

Abstract

Introduction: Various medical education institutions around the world have different methods and criteria in selecting the ideal candidate. This study aims to determine the most appropriate admission criteria for predicting student academic performance in a newly established medical faculty in Indonesia. Methods: In this cross-sectional study, we collected admission and academic performance data from 140 students admitted in 2016, 2017, and 2019. Data included academic ability test results, psychological test recommendation, and Intelligence Quotient (IQ) during admission. Results: There was a significant correlation between students' academic ability test results and IQ with academic performance (p<0.05), with a very weak level of correlation (r= 0.1888 and r= 0.278, respectively). On the other hand, there was no significant correlation between the students' psychological test recommendations and academic performance. IQ affected 22.7 % of student academic performance, and the academic ability test results and IQ, simultaneously, affected academic performance (p<0.05), as much as 5.4 %. Conclusion: Intelligent quotients were the most capable of predicting students' academic performance in the admissions process to evaluate medical students' cognitive and non-cognitive aspects.