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Evolutionary Evaluation: Implications for evaluators, researchers, practitioners, funders and the evidence-based program mandate

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  • Urban, Jennifer Brown
  • Hargraves, Monica
  • Trochim, William M.

Abstract

Evolutionary theory, developmental systems theory, and evolutionary epistemology provide deep theoretical foundations for understanding programs, their development over time, and the role of evaluation. This paper relates core concepts from these powerful bodies of theory to program evaluation. Evolutionary Evaluation is operationalized in terms of program and evaluation evolutionary phases, which are in turn aligned with multiple types of validity. The model of Evolutionary Evaluation incorporates Chen's conceptualization of bottom-up versus top-down program development. The resulting framework has important implications for many program management and evaluation issues. The paper illustrates how an Evolutionary Evaluation perspective can illuminate important controversies in evaluation using the example of the appropriate role of randomized controlled trials that encourages a rethinking of “evidence-based programs”. From an Evolutionary Evaluation perspective, prevailing interpretations of rigor and mandates for evidence-based programs pose significant challenges to program evolution. This perspective also illuminates the consequences of misalignment between program and evaluation phases; the importance of supporting both researcher-derived and practitioner-derived programs; and the need for variation and evolutionary phase diversity within portfolios of programs.

Suggested Citation

  • Urban, Jennifer Brown & Hargraves, Monica & Trochim, William M., 2014. "Evolutionary Evaluation: Implications for evaluators, researchers, practitioners, funders and the evidence-based program mandate," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 127-139.
    • Handle: RePEc:eee:epplan:v:45:y:2014:i:c:p:127-139
    DOI: 10.1016/j.evalprogplan.2014.03.011
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    References listed on IDEAS

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    1. Chen, Huey T., 2010. "The bottom-up approach to integrative validity: A new perspective for program evaluation," Evaluation and Program Planning, Elsevier, vol. 33(3), pages 205-214, August.
    2. Sandra Nutley & Huw T. O. Davies, 2000. "Getting Research into Practice: Making a Reality of Evidence-Based Practice: Some Lessons from the Diffusion of Innovations," Public Money & Management, Taylor & Francis Journals, vol. 20(4), pages 35-42, October.
    3. Trochim, William M. K. & Linton, Rhoda, 1986. "Conceptualization for planning and evaluation," Evaluation and Program Planning, Elsevier, vol. 9(4), pages 289-308, January.
    4. Caracelli, Valerie J., 1989. "Structured conceptualization : A framework for interpreting evaluation results," Evaluation and Program Planning, Elsevier, vol. 12(1), pages 45-52, January.
    5. Trochim, William M. K., 1989. "An introduction to concept mapping for planning and evaluation," Evaluation and Program Planning, Elsevier, vol. 12(1), pages 1-16, January.
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    Cited by:

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    2. Riches, Brian R. & Benavides, Celina M. & Dubon, Valeska X., 2020. "Development of a fostering purpose intervention," Evaluation and Program Planning, Elsevier, vol. 83(C).
    3. Kim Carlotta von Schönfeld & António Ferreira, 2021. "Urban Planning and European Innovation Policy: Achieving Sustainability, Social Inclusion, and Economic Growth?," Sustainability, MDPI, vol. 13(3), pages 1-35, January.
    4. Ferreira, António & Oliveira, Fernanda Paula & von Schönfeld, Kim Carlotta, 2022. "Planning cities beyond digital colonization? Insights from the periphery," Land Use Policy, Elsevier, vol. 114(C).
    5. Anzoise, Valentina & Sardo, Stefania, 2016. "Dynamic systems and the role of evaluation: The case of the Green Communities project," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 162-172.
    6. Trochim, William M., 2017. "Hindsight is 20/20: Reflections on the evolution of concept mapping," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 176-185.

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