Metodes pierādījumu reģistrs

Realist Evaluation

Realist evaluation is a theory-driven approach to evaluating programs and policies that asks not simply 'does it work?' but 'what works, for whom, in what circumstances, and why?'. Developed by Ray Pawson and Nick Tilley in their 1997 book Realistic Evaluation, it treats interventions as theories incarnate: programs offer resources or opportunities that trigger underlying mechanisms of reasoning and response in participants, and those mechanisms only fire in particular contexts. The unit of analysis is the Context-Mechanism-Outcome (CMO) configuration, and the goal is to build and refine middle-range theory that explains differential outcomes across settings.

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Realist Evaluation of Programs and Policies

Taksonomiskās metodes reģistrs · process-pipeline / public-policy

Pawson, R., & Tilley, N. (1997). Realistic Evaluation. London: SAGE Publications. · ISBN 9780761950097
Pawson, R. (2006). Evidence-Based Policy: A Realist Perspective. London: SAGE Publications. · ISBN 9781412910606

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Saistītās metodes

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Taxonomic bucketContribution Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketProcess Evaluationmachine-suggested · Relational suggestion, not evidence.Same method familyRealist Synthesismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTheory of Change Evaluationmachine-suggested · Relational suggestion, not evidence.