Item Analysis of Multiple Choice and Extended Matching Questions in the Final MBBS Medicine and Therapeutics Examination

Alok Kumar, Colette George,Michael Harry Campbell,Kandamaran Krishnamurthy,Paula Michele Lashley, Virendra Singh,Shastri Motilal,Sateesh Sakhamuri, Tamara Thompson, Corrine SinQuee-Brown,Bidyadhar Sa, Md Anbarul Azim Mujumder

Journal of Medical Education(2022)

引用 0|浏览0
暂无评分
摘要
Background: Most universities around the world use the multiple-choice question (MCQ) examination format to evaluate medical education. However, the suitability and advantages of traditional MCQs and extended matching questions (EMQs) continue to be debated. Objectives: This study mainly aimed to perform a comprehensive comparative analysis of the performance of the EMQ and traditional MCQ formats in the final MBBS exit examination. Methods: We conducted an item analysis of 80 EMQs, and 200 MCQs administered to 532 examinees across the four campuses of the University of the West Indies during the final MBBS medicine and therapeutics examination of 2019. Exam performance measures included central tendency, item discrimination, reliability, item difficulty, and distractor efficacy. Results: For the 532 students who sat the exam, the highest, lowest, and mean (± SD) scores for the EMQs were 93, 41, and 69.0 (± 9.8), respectively; for the MCQs, the respective values were 82, 41, and 62.7 (± 7.4). The predictive value of the EMQ and MCQ grades individually in the overall failure was 0.67 (95% CI = 0.39, 0.87) and 0.89 (95% CI = 0.65, 0.98), respectively. KR-20 coefficients for the EMQs and MCQs ranged from 0.52 to 0.70 and 0.71 to 0.79, respectively. The proportion of questions with two or more functional distractors was consistently higher for the MCQs than for the EMQs in all four cohorts of students. Conclusions: The MCQs were more predictive of the overall failure and had higher inter-item reliability, making the MCQ format more suitable for high-stakes examinations.
更多
查看译文
关键词
therapeutics examination,final mbbs medicine,extended matching questions,multiple choice
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要