Assessment Center Dimensions: Individual Differences Correlates and Meta-Analytic Incremental Validity

S. Dilchert, D. Ones
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引用次数: 63

Abstract

This study provides an investigation of the nomological net for the seven primary assessment center (AC) dimensions identified by Arthur, Day, McNelly, and Eden (Personnel Psychology, 56, 125–154, 2003). In doing so, the authors provide the first robust estimates of the relationships between all primary AC dimensions with cognitive ability and the Big 5 factors of personality. Additionally, intercorrelations between AC dimensions based on sample sizes much larger than those previously available in the meta-analytic literature are presented. Data were obtained from two large managerial samples (total N=4985). Primary data on AC dimensions, personality, and cognitive ability interrelationships were subsequently integrated with meta-analytic data to estimate incremental validity for optimally and unit-weighted AC dimension composites as well as overall AC ratings over psychometric tests of personality and cognitive ability. Results show that unit- and optimally weighted composites of construct-based AC dimensions add incremental validity over tests of personality and cognitive ability, while overall AC ratings (including those obtained using subjective methods of data combination) do not.
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评估中心维度:个体差异、相关性与元分析增量效度
本研究对Arthur、Day、McNelly和Eden (Personnel Psychology, 56, 125-154, 2003)确定的七个主要评估中心(AC)维度的法则网络进行了调查。在此过程中,作者首次提供了对所有主要AC维度与认知能力和人格五大因素之间关系的可靠估计。此外,基于样本量的AC维度之间的相互关系比以前在元分析文献中提供的要大得多。数据来自两个大型管理样本(总N=4985)。随后,将交流维度、人格和认知能力相互关系的原始数据与元分析数据相结合,以估计最佳和单位加权交流维度复合材料的增量效度,以及人格和认知能力心理测试的总体交流评分。结果表明,单位加权和最优加权的基于结构的交流维度复合增加了人格和认知能力测试的增量效度,而整体交流评级(包括使用主观数据组合方法获得的那些)没有。
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