Kang Yulim, Kim Hae Won
Center for Educational Evaluation, Yonsei Donggok Medical Education Institute, Yonsei University College of Medicine, Seoul, Korea.
Department of Medical Education, Yonsei University College of Medicine, Seoul, Korea.
J Educ Eval Health Prof. 2025;22:18. doi: 10.3352/jeehp.2025.22.18. Epub 2025 Jun 10.
This study investigated the longitudinal relationships between performance on 3 examinations assessing medical knowledge and clinical skills among Korean medical students in the clinical phase. This study addressed the stability of each examination score and the interrelationships among examinations over time.
A retrospective longitudinal study was conducted at Yonsei University College of Medicine in Korea with a cohort of 112 medical students over 2 years. The students were in their third year in 2022 and progressed to the fourth year in 2023. We obtained comprehensive clinical science examination (CCSE) and progress test (PT) scores 3 times (T1-T3), and clinical performance examination (CPX) scores twice (T1 and T2). Autoregressive cross-lagged models were fitted to analyze their relationships.
For each of the 3 examinations, the score at 1 time point predicted the subsequent score. Regarding cross-lagged effects, the CCSE at T1 predicted PT at T2 (β=0.472, P<0.001) and CCSE at T2 predicted PT at T3 (β=0.527, P<0.001). The CPX at T1 predicted the CCSE at T2 (β=0.163, P=0.006), and the CPX at T2 predicted the CCSE at T3 (β=0.154, P=0.006). The PT at T1 predicted the CPX at T2 (β=0.273, P=0.006).
The study identified each examination's stability and the complexity of the longitudinal relationships between them. These findings may help predict medical students' performance on subsequent examinations, potentially informing the provision of necessary student support.
本研究调查了韩国医科大学临床阶段学生在三项评估医学知识和临床技能考试中的表现之间的纵向关系。本研究探讨了每次考试成绩的稳定性以及考试之间随时间的相互关系。
在韩国延世大学医学院进行了一项回顾性纵向研究,对112名医科学生进行了为期两年的跟踪。这些学生在2022年处于三年级,并在2023年升入四年级。我们三次(T1-T3)获取了综合临床科学考试(CCSE)和进展测试(PT)的成绩,两次(T1和T2)获取了临床技能考试(CPX)的成绩。采用自回归交叉滞后模型分析它们之间的关系。
对于这三项考试中的每一项,一个时间点的成绩都能预测随后的成绩。关于交叉滞后效应,T1时的CCSE预测T2时的PT(β=0.472,P<0.001),T2时的CCSE预测T3时的PT(β=0.527,P<0.001)。T1时的CPX预测T2时的CCSE(β=0.163,P=0.006),T2时的CPX预测T3时的CCSE(β=0.154,P=0.006)。T1时的PT预测T2时的CPX(β=0.273,P=0.006)。
该研究确定了每项考试的稳定性以及它们之间纵向关系的复杂性。这些发现可能有助于预测医科学生在后续考试中的表现,从而有可能为提供必要的学生支持提供依据。