2012
DOI: 10.1177/0193841x12474275
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When is a Program Ready for Rigorous Impact Evaluation? The Role of a Falsifiable Logic Model

Abstract: Our examples suggest that such process evaluations would allow funders to deem many programs unlikely to show impacts and therefore not ready for random assignment evaluation--without the high cost and long time lines of an RIE. The article then develops the broader implications of such a process analysis step for broader evaluation strategy.

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Cited by 39 publications
(48 citation statements)
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References 17 publications
(13 reference statements)
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“…For example, the experimental method has difficulty in taking into account spill-over effects from pilot-intervention areas to other areas, which makes the distinction between ''treated'' and ''control'' groups difficult (Ravallion 2010). Additionally, the relevance of context (Epstein and Klerman 2013) and the impossibility of establishing random and real control groups (Bamberger et al 2010) in cross-sector partnerships make the technique less appropriate to many partnership evaluation problems. As a result, quasi-experimental methods and more qualitative indicators are introduced in impact assessment research in which contextual variables are included .…”
Section: Methodological and Measurement Challengesmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, the experimental method has difficulty in taking into account spill-over effects from pilot-intervention areas to other areas, which makes the distinction between ''treated'' and ''control'' groups difficult (Ravallion 2010). Additionally, the relevance of context (Epstein and Klerman 2013) and the impossibility of establishing random and real control groups (Bamberger et al 2010) in cross-sector partnerships make the technique less appropriate to many partnership evaluation problems. As a result, quasi-experimental methods and more qualitative indicators are introduced in impact assessment research in which contextual variables are included .…”
Section: Methodological and Measurement Challengesmentioning
confidence: 99%
“…There exists the danger of taking credit for results that the partners cannot achieve (Ebrahim and Rangan 2013). In general, the pressure on organizations to measure performance and establish ''what works'' also in more complex areas like social programs, has increased (Epstein and Klerman 2013;Khagram and Thomas 2010;White 2009). Therefore, there is a greater emphasis on the consequences of partnerships (Biermann et al 2007) or impact instead of the more traditional focus on inputs and output effects.…”
Section: Organizational Pressurementioning
confidence: 99%
“…In fact, we can easily generalize by ruling out: no program, no Leviton and Trujillo 5 effect. Epstein and Klerman (2013) have made the same point in the context of falsifiable logic models: Programs that do not have the necessary core components are a priori not effective and not worth evaluating.…”
Section: The Logic Of Inductionmentioning
confidence: 99%
“…There is risk associated with implementing strategies in a widespread manner that have not yet been subjected to rigorous evaluation – risk for inefficient use of resources and iatrogenic effects. Tension arises when a health problem is at epidemic status (e.g., prescription drug overdose), the number of identified effective strategies is low, and STLT agencies require guidance given consequences of inaction (e.g., declining health of a population); yet, history suggests that null results are often found when strategies are rigorously evaluated or evaluated at scale (Epstein & Klerman, 2012). When systematic reviews can only point to a small number of strategies, but the public health burden is high, it is necessary to prioritize the strategies with the most rigorous data supporting them, but also offer supplemental guidance to address the problem.…”
Section: The Use and Limitations Of Systematic Reviewsmentioning
confidence: 99%