Migliaretti Giuseppe, Bozzaro Salvatore, Siliquini Roberta, Stura Ilaria, Costa Giuseppe, Cavallo Franco
Department of Public Health and Pediatric Sciences, School of Medicine, University of Turin, Turin, Italy.
Department of Clinical and Biological Sciences, School of Medicine, University of Turin, Turin, Italy.
BMJ Open. 2017 Dec 1;7(11):e017417. doi: 10.1136/bmjopen-2017-017417.
The usefulness of university admission tests to medical schools has been discussed in recent years. In the academic year 2014-15 in Italy, several students who failed the admission test appealed to the regional administrative court ('Tribunale Amministrativo Regionale'-TAR) requesting to be included, despite their test results, and all were admitted to their respective courses. The existence of this population of students generated a control group, in order to evaluate the predictive capacity of the admission test. The aim of the present work is to discuss the ability of university admission tests to predict subsequent academic success.
The study involved 683 students who enrolled onto the first year of the degree course in medicine in the academic year 2014-15 at the University of Turin (Molinette and San Luigi Gonzaga colleges). The students were separated into two categories: those who passed the admission test (n1=531) and those who did not pass the admission test but won their appeal in the TAR (n2=152).
The validity of the admission test was analysed using specificity, sensitivity, positive and negative likelihood ratios (LH+, LH-), receiver operating characteristic (ROC) curves, area under the ROC curve (AUC), and relative (95% CI).
The results showed that the admission test appeared to be a good tool for predicting the academic performances in the first year of the course (AUC=0.70, 95% CI 0.64 to 0.76). Moreover, some subject areas seemed to have a greater discriminating capacity than others. In general, students who obtained a high score in scientific questions were more likely to obtain the required standards during the first year (LH+ 1.22, 95% CI 1.14 to 1.25).
Based on a consistent statistical approach, our study seems to confirm the ability of the admission test to predict academic success in the first year at the school of medicine of Turin.
近年来,关于医学院校入学考试的实用性一直存在讨论。在2014 - 2015学年的意大利,几名入学考试未通过的学生向地区行政法院(“Tribunale Amministrativo Regionale”-TAR)提出申诉,要求尽管考试成绩不佳仍能被录取,并且他们全部被各自申请的课程录取。这群学生的存在形成了一个对照组,以便评估入学考试的预测能力。本研究的目的是探讨大学入学考试预测后续学业成功的能力。
该研究涉及683名在2014 - 2015学年于都灵大学(莫利内特和圣路易吉·贡扎加学院)注册医学学位课程第一年的学生。这些学生被分为两类:通过入学考试的学生(n1 = 531)和未通过入学考试但在TAR申诉成功的学生(n2 = 152)。
使用特异性、敏感性、阳性和阴性似然比(LH +,LH -)、受试者工作特征(ROC)曲线、ROC曲线下面积(AUC)以及相对值(95% CI)对入学考试的有效性进行了分析。
结果表明,入学考试似乎是预测课程第一年学业成绩的良好工具(AUC = 0.70,95% CI 0.64至0.76)。此外,一些学科领域似乎比其他领域具有更强的区分能力。总体而言,在科学问题上获得高分的学生在第一年更有可能达到所需标准(LH + 1.22,95% CI 1.14至1.