THE SUBSTANTIVE NATURE OF PERFORMANCE VARIABILITY: PREDICTING INTERINDIVIDUAL DIFFERENCES IN INTRAINDIVIDUAL PERFORMANCE
使用潜在增长曲线方法，研究了303名证券分析师在8个时间点的季度销售绩效，发现个体内绩效变化呈学习曲线，且个体差异预测因子与增长参数中度相关，对人员选拔有理论和实践意义。
The nature of intraindividual performance variability over time, along with individual difference predictors of such variability, was examined using latent growth curve methodology. Quarterly sales performance for a sample of securities analysts ( n = 303) was measured at 8 times. Average intraindividual performance approximated a basic “learning” curve, although there were considerable individual differences in each of the latent performance growth parameters. Individual difference predictors from a biodata inventory were moderately related to these latent growth parameters. Theoretical and practical implications of performance variability for personnel selection are also discussed.