这是关于MeE:使用结构化体验式学习(“e”)来抓取设计空间

L. Pritchett, Salimah Samji, J. Hammer
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引用次数: 100

摘要

资助发展项目的组织,无论是政府、多边、双边机构还是非政府组织,都必须就资助什么做出艰难的决定。在这一决定中,在资助那些有确凿证据证明有效的活动和资助那些承诺更有效但未经检验的创新活动之间存在着一种内在的紧张关系。基于证据的方法促进更多地使用严格的影响评估(包括随机对照试验),并在政策和规划中使用这些评估的证据,使传统的评估更加严格。这里我们将严格影响评价的基本思想进行了扩展。使用有效的反事实来判断因果关系,以评估项目的设计和实施。这为M&RIE增加了一种新的学习成分,即体验式学习或一点e,这样就不仅仅是M&E开发项目都是关于MeE的。结构化的体验式学习使实施机构能够利用监测数据积极、严格地搜索备选项目设计,这些数据提供实时性能信息,并直接反馈到项目设计和实施中。关键的洞见是,项目内部的变化可以作为它们自己的反事实,从而大大减少评价的增加费用,并增加评价对执行机构的有用性。MeE的正确组合提供了严格的学习,同时为创新提供了所需的空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
It's All About MeE: Using Structured Experiential Learning ('e') to Crawl the Design Space
Organizations that fund development projects whether they be governments, multi-laterals, bilateral agencies, or NGOs have to make hard decisions about what to fund. In this decision there is an inherent tension between funding activities that have solid evidence about effectiveness and funding innovative activities that promise even greater effectiveness but are untested. Evidence based approaches that promote greater use of Rigorous Impact Evaluations (including randomized control trials) and evidence from those evaluations in policy and programming have added more rigor to the E (evaluation) in traditional M&E. Here we extend the basic idea of rigorous impact evaluation?the use of a valid counter-factual to make judgments about causality to evaluate project design and implementation. This adds a new learning component of experiential learning or a little e to the M&RIE so that instead of just M&E development projects are all about MeE. Structured experiential learning allows implementing agencies to actively and rigorously search across alternative project designs using the monitoring data that provides real time performance information with direct feedback into project design and implementation. The key insight is that within- project variations can serve as their own counter-factual which dramatically reduces the incremental cost of evaluation and increases the usefulness of evaluation to implementing agencies. The right combination of MeE provides for rigorous learning while the providing needed space for innovation.
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