Predicting the Outcomes of Single- and Multistage Selections When Applicant Pools Are Small and Heterogeneous
提出了分析方法和计算工具，用于在申请池小且由多数和少数群体混合组成时，估计多阶段选拔的预期质量和多样性结果，并计算其抽样变异性。
This article presents analytic methods and accompanying computational tools for estimating the expected quality and diversity outcome of general multistage selections when the applicant pool is a finite, typically small sample from a mixture of majority and minority applicant populations. The new methods generalize the analytic estimation of the expected quality of small heterogeneous applicant pool selections from simple, single-stage selection situations to the more general, multistage selection context. In addition, the new methods also compute the sampling variability of the selection quality outcome for these selection decisions.