Cognitive categorization processes in performance evaluation: Confirmatory tests of two models
通过实验检验了绩效评估中两种认知模型（传统数据驱动模型与分类图式驱动模型），发现分类模型更受支持，并指出评估者的整体印象可区分绩效与非绩效方面，且绩效评价更依赖基于评估的判断而非记忆。
Abstract We tested a data‐driven ‘traditional’ model and a schema‐driven ‘categorization’ model of rater cognitive processes. Raters viewed one of two videotaped lectures on economics. Next, they completed dimensional and overall performance ratings, and scales designed to measure performance‐based and non‐performance‐based aspects of raters' general impressions. We tested model predictions using a combination of confirmatory factor analysis and single‐equation regression estimates of structural parameters. Neither model received unequivocal support, though results favored the categorization model. We conclude that (a) performance‐based and non‐performance‐based aspects of a rater's general impression can be distinguished empirically, (b) raters' overall impressions of ratees may substantially reflect the integration of performance‐based information, and (c) performance evaluation may be better viewed in the context of ‘evaluation‐based’ rather than ‘memory‐based’ judgments.