Analysis and Design of Multitrait-Multirater Performance Appraisal Studies
分析了20个多特质-多评价者绩效评估矩阵，发现相关独特性模型比验证性因子分析和直接乘积模型更适用，且特质与方法方差的比例与评价系统特征相关。
Becker and Cote (1994) found that the correlated uniqueness model outperformed the confirmatory factor analysis and direct product models for multitrait-multimethod data. The present study analyzed20 multitrait-multirater performance appraisal matrices. The correlated uniqueness model was appropriate significantly more often than in Becker and Cote5 study and the other two models performed poorly. The proportions of trait and method variance in ratings were related to several rating system characteristics such as opportunity for raters to observe ratees and basing rating dimensions on a job analysis. Performance of all three models was better with larger proportions of trait variance and smaller proportions of method variance.