Gerst, M.
and Dillard, M.
(2025),
A method for assessing and communicating the quality of evidence used in establishing community resilience frameworks, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1335, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=959550
(Accessed June 20, 2025)
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A method for assessing and communicating the quality of evidence used in establishing community resilience frameworks
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Abstract
Community resilience refers to the concept of a community being able to prepare, respond, recover, and adapt to disruptions in a way that does not compromise long-term community functionality and well-being. While it is not directly measurable, the concept is increasingly used in planning and management. Consequently, creating indicators, which can provide information about unmeasurable concepts, are a common methodological choice for quantifying resilience and tracking changes due to impact-mitigating actions, investments, and the like. Developing community resilience indicators can be challenging because resilience covers many different subject areas (e.g., infrastructure, health, economics), leading to authors needing a broad knowledge base to justify indicator choices. One option is to rely on expert panels to provide input, but panels can be resource intensive and infeasible for many indicator projects. As an alternative, resilience indicator frameworks usually use non-systematic literature reviews to provide theoretical and empirical backing. Relying on this approach can lead to problems in assessing and communicating indicator credibility because non-systematic methods generally lack established procedures for appraising the quality of evidence provided by selected literature; these procedures are especially important in cases where indicators undergo no further construct validation. This study proposes a method for appraising and communicating the informativeness of literature used to make indicator inclusion choices and presents a test case, applying the method with commonly suggested indicators.Citation
Special Publication (NIST SP) - 1335
Report Number
1335
NIST Pub Series
Pub Type
NIST Pubs
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Created June 18, 2025