ERIC Number: EJ1034416
Record Type: Journal
Publication Date: 2014-Sep
Abstractor: As Provided
Reference Count: 63
Evaluation Methodologies for Estimating the Likelihood of Program Implementation Failure
Durand, Roger; Decker, Phillip J.; Kirkman, Dorothy M.
American Journal of Evaluation, v35 n3 p404-418 Sep 2014
Despite our best efforts as evaluators, program implementation failures abound. A wide variety of valuable methodologies have been adopted to explain and evaluate the "why" of these failures. Yet, typically these methodologies have been employed concurrently (e.g., project monitoring) or to the post-hoc assessment of program activities. What we believe to be missing are methods that will lead to the successful prediction of program implementation failures in advance, methods that will lead us directly to the "how" and, especially, the "'how likely' of program implementation failure." To that end we propose, discuss, and illustrate three such methods that seemingly hold promise--marker analysis, the wisdom of crowds, and "Big Data." Additionally, we call for an "expanded role" for evaluation-explanation, but also prediction without a total embrace of the need to understand why a prediction works.
Descriptors: Evaluation Methods, Program Implementation, Failure, Program Effectiveness, Predictor Variables, Risk Assessment, Expertise, Data Collection, Data Interpretation
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A