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A problem-bound evaluation approach.

Kristen L Rohanna1, Christina A Christie1

  • 1School of Education & Information Studies, University of California Los Angeles, USA.

Evaluation and Program Planning
|November 22, 2022
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Summary
This summary is machine-generated.

Traditional evaluation methods struggle with complex societal issues. This paper introduces a "problem-bound" approach, grounded in complexity science, for agile and adaptive program evaluation in dynamic systems.

Keywords:
Complex adaptive systemsEvaluationImprovement scienceProblem-bound evaluationSystems changeSystems thinking

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Area of Science:

  • Evaluation science
  • Complexity science
  • Systems thinking

Background:

  • Traditional evaluation frameworks often assume stability, which is inadequate for complex societal problems.
  • Existing methods may not align with the dynamic and unpredictable nature of complex systems.
  • There is a need for evaluation approaches that can adapt to emergent findings within intricate systems.

Purpose of the Study:

  • To introduce and elaborate on a "problem-bound" evaluation approach.
  • To enhance evaluators' understanding of improving persistent societal problems within complex systems.
  • To bridge the gap between systems change theory and practical evaluation.

Main Methods:

  • Grounded in theoretical concepts from complexity science, complex adaptive systems, and improvement science.
  • Proposes an agile and flexible framework for evaluation.
  • Focuses on continuous learning from emergent findings.

Main Results:

  • Offers a "problem-bound" evaluation model tailored for complex systems.
  • Provides a flexible framework for ongoing learning and adaptation.
  • Highlights practical implications for the evaluator's role in systems change.

Conclusions:

  • The "problem-bound" approach offers a more suitable alternative to traditional evaluation in complex systems.
  • This model facilitates adaptive learning and responsiveness to emergent issues.
  • Contributes to the practical application of systems change principles in evaluation practice.