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Using a community-created multisite evaluation to promote evaluation use across a sector.

Karen Peterman1, M J Gathings1

  • 1Karen Peterman Consulting, Co., PO Box 51361, Durham, NC 27717, United States.

Evaluation and Program Planning
|March 11, 2019
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Summary

This community-created multisite evaluation shares data with 30,000 participants, enhancing program knowledge and evaluation capacity. The EvalFest model demonstrates early success in increasing evaluation use across partner sites.

Keywords:
Community of practiceEvaluation useMultisite evaluation

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Area of Science:

  • Community-based participatory research
  • Program evaluation methodologies
  • Knowledge translation and dissemination

Background:

  • Multisite evaluations build program knowledge and capacity but often limit data sharing with participants.
  • Existing models struggle with equitable data accessibility for individual project stakeholders.

Purpose of the Study:

  • To describe the design and implementation of a community-created multisite evaluation (EvalFest).
  • To assess the effectiveness of this model in enhancing evaluation use among partners.
  • To overcome limitations in data accessibility inherent in traditional multisite evaluations.

Main Methods:

  • Employed a negotiated centralized evaluation model within a community of practice.
  • Utilized shared measures to collect data from 30,000 participants across 3 years.
  • Focused on the EvalFest community-created multisite evaluation approach.

Main Results:

  • The EvalFest model successfully collected data from a large, diverse participant pool.
  • Partners reported increased evaluation use, indicating the early success of the community-created approach.
  • Demonstrated enhanced data accessibility for individual project participants.

Conclusions:

  • The community-created multisite evaluation strategy, exemplified by EvalFest, effectively enhances evaluation use and data sharing.
  • This model offers a scalable solution for improving program evaluation in various sectors.
  • Future applications may extend this approach beyond its current implementation context.