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Rate it again: Using the wisdom of many to improve performance evaluations

机译:再次评分:利用许多人的智慧来改进绩效评估

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摘要

Much research shows that judgmental estimation could be improved by combining estimates from independent judges as well as within judges. These results have been obtained mostly with judgments about matters of fact, that is, for which there are objective truth criteria. In the present research, we extend these findings to performance evaluations. In a controlled field study, expert judges provided evaluations of a large number of essays written by college applicants taking college entrance tests. The judges were asked to evaluate each essay twice-on two occasions, a week apart. This design allowed us to assess the benefits of two methods of combining evaluations: within rater and across raters. Accuracy gains were obtained with both methods. Although the within-rater combinations yielded fewer gains than the across-rater ones, they were still appreciable in comparison with the across rater ones. Our findings extend the class of judgments to which the "wisdom of many" could be applied. These findings are potentially applicable to performance evaluations in social, educational, and employment settings.
机译:许多研究表明,通过结合独立法官和法官内部的估计,可以改善判断估计。这些结果大部分是通过对事实的判断得出的,也就是说,对于这些判断有客观真理标准。在本研究中,我们将这些发现扩展到性能评估。在一项受控的现场研究中,专业法官对参加高考的大学申请人撰写的大量论文进行了评估。评委被要求两次评估每篇论文,两次间隔一周。这种设计使我们能够评估两种结合评估方法的好处:评估者内部和评估者之间。两种方法均获得了准确度提高。尽管内部评估者组合产生的收益少于交叉评估者,但与跨评估者的收益相比仍然是可观的。我们的发现扩展了可以应用“许多人的智慧”的判断类别。这些发现可能适用于社会,教育和就业环境中的绩效评估。

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