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Evaluation Utility Metrics (EUMs) in Reflective Practice.

Ralph Renger1, Jessica Renger2, Richard N Van Eck3

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Summary
This summary is machine-generated.

This study introduces three Evaluation Utility Metrics (EUMs) to measure evaluation usefulness beyond technical quality. Practical application demonstrated high consideration and adoption rates for recommendations, improving evaluation practice.

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Area of Science:

  • Evaluation Science
  • Applied Research Methods

Background:

  • Reflective practice in evaluation emphasizes accountability beyond technical quality.
  • Current evaluation quality assessments often overlook the practical utility of recommendations.

Purpose of the Study:

  • To propose and evaluate three metrics for assessing evaluation utility.
  • To encourage evaluators to assess the impact and influence of their recommendations.

Main Methods:

  • Development of three Evaluation Utility Metrics (EUMs): consideration (EUMc), adoption (EUMa), and level of influence (EUMli).
  • Reflection on practical application, including managing expectations and considering contextual factors.
  • Analysis of real-world evaluation data to demonstrate EUMs' value.

Main Results:

  • Implementation of practice tips resulted in 100% consideration (EUMc) and over 80% adoption (EUMa) of recommendations.
  • The study highlights the importance of negotiation for data collection and the influence of external factors on recommendation adoption.
  • EUMs provide evidence of evaluation utility and potential for practice improvement.

Conclusions:

  • Evaluation Utility Metrics (EUMs) offer a valuable framework for assessing evaluation impact.
  • Focusing on recommendation timing and frequency can increase EUM rates.
  • Integrating EUMs supports evaluators in improving practice and demonstrating utility.