Acad Med. 2010 Oct;85(10 Suppl):S64-7. doi: 10.1097/ACM.0b013e3181ed38fc.
This study investigated the validity of four approaches (the average, most recent, highest-within-administration, and highest-across-administration approaches) of using repeaters' Medical College Admission Test (MCAT) scores to predict Step 1 scores.
Using the differential predication method, this study investigated the magnitude of differences in the expected Step 1 total scores between MCAT nonrepeaters and three repeater groups (two-time, three-time, and four-time test takers) for the four scoring approaches.
For the average score approach, matriculants with the same MCAT average are expected to achieve similar Step 1 total scores regardless of whether the individual attempted the MCAT exam one or multiple times. For the other three approaches, repeaters are expected to achieve lower Step 1 scores than nonrepeaters; for a given MCAT score, as the number of attempts increases, the expected Step 1 decreases. The effect was strongest for the highest-across-administration approach, followed by the highest-within-administration approach, and then the most recent approach.
Using the average score is the best approach for considering repeaters' MCAT scores in medical school admission decisions.
本研究调查了使用复读生 MCAT 成绩预测 STEP1 成绩的四种方法(平均值法、最近成绩法、行政内最高成绩法和行政内最高成绩法)的有效性。
本研究采用差异预测法,调查了在四种评分方法中,MCAT 非复读生与两个复读组(两次、三次和四次考试)之间,在预期 STEP1 总分方面的差异幅度。
对于平均分数法,无论个人是否多次参加 MCAT 考试,具有相同 MCAT 平均分数的入学申请者预计将获得相似的 STEP1 总分。对于其他三种方法,复读生的 STEP1 分数预计会低于非复读生;对于给定的 MCAT 分数,随着尝试次数的增加,预期的 STEP1 分数会降低。最高跨管理方法的效果最强,其次是最高内部管理方法,然后是最近的方法。
在医学院入学决策中,考虑复读生的 MCAT 成绩时,使用平均分是最佳方法。