Can Changes in Differential Dropout Rates Reduce Adverse Impact? A Computer Simulation Study of a Multi‐wave Selection System
通过计算机模拟，研究了申请人在选拔过程中淘汰率的变化对种族间选拔结果差异的影响，发现测试分数差异是导致不利影响的主要因素，而减少少数族裔申请人退出的干预措施效果有限。
A simulation was used to explore the effects of variations in the rate at which applicants drop out of selection processes on racial differences in selection outcomes. Archival data was used to simulate a realistic range of selection scenarios in which test score differences between groups and selection ratios varied. The basis for dropping out was manipulated in two separate studies. Study 1 simulated dropout decisions that occurred at random within racial subgroups; in this study, dropout rates of minority versus White candidates were varied. Study 2 examined dropout decisions that occurred as a function of test scores. Results from both studies showed that mean test score differences between White and minority applicants have the largest influence on adverse impact. Interventions designed to reduce the tendency of minority applicants to withdraw from selection are likely to have, at best, small effects on the adverse impact of selection tests.