Classic Methodologies: Why They Still Matter

Benjamin Harris & Julianne Kealey

New Directions for Evaluation2025https://doi.org/10.1002/ev.20632article
ABDC B
Weight
0.41

What the paper says

ABSTRACT While recognizing the importance of innovative, new approaches to evaluation, the guest editors and authors present this special issue of New Directions for Evaluation , urging evaluators to revisit established methodologies to address the growing complexity and ambiguity of today's wicked problems and indeed any problem they are commissioned to evaluate. Within this issue, we revisit four key methodologies of benchmarking, environmental scanning, rapid reconnaissance, and strategic environmental assessment (SEA). We also ask evaluators to reflect on the importance of understanding their evaluation contexts, philosophical, and methodological approaches when making evaluation decisions. We argue that by understanding philosophical and methodological choices, we can produce evaluation outcomes that contribute to high‐level decision‐making. Our research highlights that the four methodologies outlined in this special issue have received limited attention in the evaluation literature. Therefore, we consider it timely to share our insights and practical applications of these methodologies. It is hoped that through this special issue we successfully argue these tried and tested methodologies have potential application across both strategic and tactical spaces, creating an interface for evaluators to value‐add to their practice.

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https://doi.org/https://doi.org/10.1002/ev.20632

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@article{benjamin2025,
  title        = {{Classic Methodologies: Why They Still Matter}},
  author       = {Benjamin Harris & Julianne Kealey},
  journal      = {New Directions for Evaluation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1002/ev.20632},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.