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反思性实践中的评估效用指标(EUMs)

Evaluation Utility Metrics (EUMs) in Reflective Practice.

作者信息

Renger Ralph, Renger Jessica, Van Eck Richard N, Basson Marc D, Renger Jirina

机构信息

Just Evaluation Services, LLC.

Claremont Graduate University.

出版信息

Can J Program Eval. 2022 Jun;37(1):142-154. doi: 10.3138/cjpe.72386. Epub 2022 Apr 25.

Abstract

The article proposes three evaluation utility metrics to assist evaluators in evaluating the quality of their evaluation. After an overview of reflective practice in evaluation, the different ways in which evaluators can hold themselves accountable are discussed. It is argued that reflective practice requires evaluators to go beyond evaluation (i.e., technical quality and methodological rigor) when assessing evaluation practice to include an evaluation of evaluation (i.e., specific actions taken in response to evaluation recommendations). Three Evaluation Utility Metrics (EUMs) are proposed to evaluate utility: whether recommendations are considered (EUM), adopted (EUM), and (if adopted) level of influence of recommendations (EUM). The authors then reflect on their experience in using the EUMs, noting the importance of managing expectations through negotiation to ensure EUM data is collected and the need to consider contextual nuances (e.g., adoption and influence of recommendations are influenced by multiple factors beyond the control of the evaluators). Recommendations for increasing EUM rates by paying attention to the frequency and timing of recommendations are also shared. Results of implementing these EUMs in a real-world evaluation provide evidence of their potential value: practice tips led to an EUM = 100% and EUM > 80%. Methods for considering and applying all three EUMs together to facilitate practice improvement are also discussed.

摘要

本文提出了三种评估效用指标,以协助评估者评估其评估质量。在概述评估中的反思性实践之后,讨论了评估者对自身负责的不同方式。有人认为,反思性实践要求评估者在评估评估实践时超越评估(即技术质量和方法严谨性),将评估的评估(即针对评估建议采取的具体行动)包括在内。提出了三种评估效用指标(EUMs)来评估效用:建议是否被考虑(EUM)、采纳(EUM)以及(如果被采纳)建议的影响程度(EUM)。作者随后反思了他们使用EUMs的经验,指出通过协商管理期望以确保收集EUM数据的重要性,以及考虑背景细微差别(例如,建议的采纳和影响受到评估者无法控制的多种因素影响)的必要性。还分享了通过关注建议的频率和时机来提高EUM率的建议。在实际评估中实施这些EUMs的结果证明了它们的潜在价值:实践提示导致EUM = 100%且EUM > 80%。还讨论了将所有三种EUMs一起考虑和应用以促进实践改进的方法。

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