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Everything about Theory-driven evaluation

Approach to program evaluation

Theory-driven evaluation is an umbrella term for any approach to program evaluation – quantitative, qualitative, or mixed method – that develops a theory of change and uses it to design, implement, analyze, and interpret findings from an evaluation. More specifically, an evaluation is theory-driven if it:formulates a theory of change using some combination of social science, lived experience, and program-related professionals' expertise; develops and prioritizes evaluation questions using the theory; uses the theory to guide the design and implementation of the evaluation; uses the theory to operationalize contextual, process, and outcome variables; provides a causal explanation of how and why outcomes were achieved, including whether the program worked and/or had any unintended consequences ; and explains what factors moderate outcomes. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Theory-driven evaluationA 5-minute orientation
  2. Skim a recent paper: Data-driven perspectives on linear stability theory: Dataset support and pattern-based N-factor evaluationInfluential work since 2022
  3. Pick up a classic book: Neural Information ProcessingThe most-reprinted book on the subject
  4. Read the landmark paper: A Systematic Review of Theory-Driven Evaluation Practice From 1990 to 2009Cited 356 times
  5. Go sideways: Huey-tsyh ChenA closely related topic
  6. Go sideways: Theory of changeA closely related topic

đź“– Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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