Moore Daniel B, Rosenberg Jamie B, Moon Jee-Young, Pettey Jeff, Faridi Ambar
University of Kentucky, Department of Ophthalmology and Visual Sciences, USA.
Albert Einstein College of Medicine, Department of Ophthalmology and Visual Sciences, USA.
J Acad Ophthalmol (2017). 2024;16(2). Epub 2024 Nov 8.
Situational Judgment Tests (SJTs) are increasingly utilized in medical trainee recruitment decisions yet little is known of their potential biases. This study was designed to evaluate the Computer-Based Assessment for Sampling Personal Characteristics (CASPer) SJT scores of ophthalmology residency applicants and compare these to Step 1 and Step 2 scores in different demographic groups.
All applicants to the ophthalmology residency match completed CASPer during the 2022-2023 recruitment cycle. Applicant scores were cross-referenced within the SF Match Residency Application System to collect data on applicant gender, self-identified Under-Represented in Medicine (URiM) status, and International Medical Graduate (IMG) status, as well as Step 1 and Step 2 scores.
A total of 760 of 765 (99.3%) of applicants with CASPer scores were identified in SF Match, 41% of which were female, 15% URiM, and 11% IMG. Males scored slightly higher on all three tests, with the mean difference in Step 1 (4.3) reaching a statistical significance (Cohen's d = 0.29, p < 0.001). When comparing URiM and IMG applicants, these groups scored significantly lower than their counterparts on all three tests (p all <0.001), with the magnitude of mean difference greater for CASPer than Step 1 or 2. There were no differences between genders in CASPer percentile scores; however, URiM applicants performed on average 17% and IMG applicants 32% lower than their counterparts.
The CASPer SJT demonstrated significant bias against URiM and IMG ophthalmology residency applicants. This bias was even greater than Step 1 and Step 2 performance, suggesting the continued need for caution when utilizing any standardized testing in recruitment decisions.
情境判断测试(SJTs)在医学实习生招聘决策中越来越多地被使用,但对其潜在偏差知之甚少。本研究旨在评估眼科住院医师申请人基于计算机的个人特征抽样评估(CASPer)情境判断测试分数,并将这些分数与不同人口统计学群体的第一步和第二步分数进行比较。
2022 - 2023年招聘周期内,所有申请眼科住院医师匹配项目的申请人都完成了CASPer测试。在SF匹配住院医师申请系统中对申请人分数进行交叉引用,以收集申请人性别、自我认定的医学领域代表性不足(URiM)状态、国际医学毕业生(IMG)状态以及第一步和第二步分数的数据。
在SF匹配系统中识别出765名申请人中有760名(99.3%)有CASPer分数,其中41%为女性,15%为URiM,11%为IMG。男性在所有三项测试中的得分略高,第一步的平均差异(4.3)达到统计学显著性(科恩d值 = 0.29,p < 0.001)。在比较URiM和IMG申请人时,这两组在所有三项测试中的得分均显著低于其对应组(所有p值 <0.001),CASPer的平均差异幅度大于第一步或第二步。CASPer百分位分数在性别之间没有差异;然而,URiM申请人的平均表现比其对应组低17%,IMG申请人低32%。
CASPer情境判断测试对URiM和IMG眼科住院医师申请人表现出显著偏差。这种偏差甚至大于第一步和第二步的表现,表明在招聘决策中使用任何标准化测试时仍需持续谨慎。