Reviewing, Categorizing, and Analyzing the Literature on Black–White Mean Differences for Predictors of Job Performance: Verifying Some perceptions and Updating/Correcting Others
系统回顾和分析了关于黑人与白人在人事选拔测试分数上差异的元分析研究，发现许多预测指标的差异比以往认为的更大，并提供了更准确的数值供研究者与从业者使用。
In both theoretical and applied literatures, there is confusion regarding accurate values for expected Black–White subgroup differences in personnel selection test scores. Much confusion arises because empirical estimates of standardized subgroup differences ( d ) are subject to many of the same biasing factors associated with validity coefficients (i.e., d is functionally related to a point‐biserial r ). To address such issues, we review/cumulate, categorize, and analyze a systematic set of many predictor‐specific meta‐analyses in the literature. We focus on confounds due to general use of concurrent, versus applicant, samples in the literature on Black–White d . We also focus on potential confusion due to different constructs being assessed within the same selection test method, as well as the influence of those constructs on d . It is shown that many types of predictors (such as biodata inventories or assessment centers) can have magnitudes of d that are much larger than previously thought. Indeed, some predictors (such as work samples) can have d s similar to that associated with paper‐and‐pencil tests of cognitive ability. We present more realistic values of d for both researcher and practitioner use. Implications for practice and future research are noted.