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Evaluability assessment: An application in a complex community improvement setting.

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This summary is machine-generated.

Evaluability assessment (EA) helps public service workers collaboratively plan evaluations for complex initiatives. This ensures generated evidence is relevant, robust, and supports decision-making for better resource allocation.

Keywords:
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Area of Science:

  • Public Administration
  • Program Evaluation
  • Community Development

Background:

  • Effective evaluation is crucial for policy and intervention success, resource optimization, and understanding failures.
  • Evaluability assessment (EA) is a collaborative process to design evaluations that yield relevant and robust evidence.
  • Applying EA in complex, area-based community improvement initiatives presents a novel context.

Purpose of the Study:

  • To report on the context, process, and participant evidence from an EA facilitated with public service workers.
  • To demonstrate how EA can be utilized in a novel setting for program implementation.
  • To explore the co-production of evaluation frameworks by practitioners.

Main Methods:

  • Facilitated evaluability assessment (EA) with public service workers.
  • Collaborative identification of evaluation activities.
  • Co-production of a theory of change for a community improvement initiative.

Main Results:

  • Practitioners at all levels identified key activities for evaluation.
  • A theory of change was co-produced, reflecting implementation realities.
  • EA facilitated the development of relevant evaluation recommendations aligned with available data and resources.

Conclusions:

  • EA is a valuable tool for enhancing the relevance and robustness of evaluations in complex public service initiatives.
  • The collaborative nature of EA empowers practitioners to shape evaluation design and theory of change.
  • EA can lead to more practical and resource-aware evaluation recommendations, improving decision-making and program implementation.