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Logic modeling: a tool for designing program evaluations

In: Handbook on the Theory and Practice of Program Evaluation

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  • Gretchen B. Jordan

Abstract

As this volume demonstrates, a wide variety of methodologies exist to evaluate particularly the objectives and outcomes of research and development programs. These include surveys, statistical and econometric estimations, patent analyses, bibliometrics, scientometrics, network analyses, case studies, and historical tracings. Contributors divide these and other methods and applications into four categories – economic, non-economic, hybrid and data-driven – in order to discuss the many factors that affect the utility of each technique and how that impacts the technological, economic and societal forecasts of the programs in question.

Suggested Citation

  • Gretchen B. Jordan, 2013. "Logic modeling: a tool for designing program evaluations," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 6, pages 143-165, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:14384_6
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    References listed on IDEAS

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    1. Gretchen B Jordan, 2010. "A theory-based logic model for innovation policy and evaluation," Research Evaluation, Oxford University Press, vol. 19(4), pages 263-273, October.
    2. Gregory Tassey, 2007. "The Technology Imperative," Books, Edward Elgar Publishing, number 4229.
    3. Cooksy, Leslie J. & Gill, Paige & Kelly, P. Adam, 2001. "The program logic model as an integrative framework for a multimethod evaluation," Evaluation and Program Planning, Elsevier, vol. 24(2), pages 119-128, May.
    4. McLaughlin, John A. & Jordan, Gretchen B., 1999. "Logic models: a tool for telling your programs performance story," Evaluation and Program Planning, Elsevier, vol. 22(1), pages 65-72.
    5. John H Reed & Gretchen Jordan, 2007. "Using systems theory and logic models to define integrated outcomes and performance measures in multi-program settings," Research Evaluation, Oxford University Press, vol. 16(3), pages 169-181, September.
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