SYNTHETIC VALIDITY: PAST, PRESENT, AND FUTURE
梳理了合成效度的概念、历史方法、最新进展和未来方向，帮助人事选拔从业者在传统验证不可行时估计预测效度。
Practitioners in the area of personnel selection can be confronted with situations in which the use of traditional validation strategies is not feasible. This situation can result from small numbers of incumbents, rapidly changing jobs, insufficient resources, or the lack of high‐quality criterion data. Although traditional strategies are not possible, a set of techniques falling under the rubric of synthetic validity can be used to estimate predictor validity in these situations. Synthetic validity is a logical process of inferring validity on the basis of the relationships between components of a job and tests of the attributes that are needed to perform the job components. Unfortunately, synthetic validity is infrequently used and not well understood. This article provides an overview and conceptualization of synthetic validity, reviews the historical approaches to synthetic validity, describes the recent developments and trends, and suggests future directions for synthetic validity application and research. The relationship of synthetic validity with other validity concepts, the advantages, the limitations, and the legal issues are considered throughout.