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What can practitioners learn from theorists' logic models?

John Gargani1

  • 1Gargani + Company, Inc., 2625 Alcatraz Avenue, Number 508, Berkeley, CA 94705, United States. john@gcoinc.com

Evaluation and Program Planning
|April 4, 2012
PubMed
Summary

Logic models can enhance evaluation practice by clarifying theory-practice connections. Theorists are responsible for guiding theory use, ideally through collaborative, logic model-based approaches.

Area of Science:

  • Evaluation Theory
  • Program Planning
  • Knowledge Translation

Background:

  • Theorists and practitioners often have different conceptions of how theory informs practice.
  • The process connecting theory to practice is complex and influenced by various factors.
  • Previous work has not fully explicated the role of logic models in bridging this gap.

Purpose of the Study:

  • To explore how logic models can improve the practical application of evaluation theories.
  • To define the roles of theorists and practitioners in the theory-practice nexus.
  • To present a framework for how theorists can leverage logic models to promote theory utilization.

Main Methods:

  • Conceptual analysis of theory-practice relationships.
  • Development of working definitions for theorists and practitioners.

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  • Presentation of a theory-based explanation of factors influencing practice.
  • Description of how logic models can be used to shape practice.

    • Main Results:

    • Logic models offer a structured approach to understanding and influencing the factors that shape practice.
    • Theorists bear primary responsibility for the proper use of their theories, best achieved collaboratively.
    • Recent technological advancements facilitate large-scale, logic model-organized theory-building collaborations.

    Conclusions:

    • Logic models are valuable tools for enhancing the practical utility of evaluation theories.
    • Collaboration between theorists and evaluators, facilitated by logic models, is crucial for effective knowledge translation.
    • The field stands to benefit from advancements in theory-building collaborations centered around logic models.