Affiliation:
1. University of California, USA
Abstract
The push for evidence-based practice is persistent in the public sector—what counts is what works. One central premise for evidence-based practice is the existence of an evidence base; that is, an accumulated and generalizable body of knowledge. Informed by a recent systematic review, we examine the promises and pitfalls of meta-analysis (the statistical workhorse of systematic reviews) as the primary blueprint for cumulative knowledge building in evaluation. This analysis suggests that the statistical assumptions underlying the meta-analytic framework raise issues that, at least in regards to producing generalizable knowledge, may cut even deeper than is suggested by common criticisms. Advancing beyond meta-analysis, we consider alternative approaches for knowledge building and reflect on the implications of these for individual evaluations.
Subject
Sociology and Political Science,Development
Cited by
1 articles.
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