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Results-Based Accountability×Logic Model Analysis×
领域Public PolicyPublic Policy
方法族Process / pipelineProcess / pipeline
起源年份20052004
提出者Mark FriedmanProgram evaluation field; popularised by United Way and the W.K. Kellogg Foundation
类型Performance accountability and measurement frameworkVisual planning and evaluation framework
开创性文献Friedman, M. (2005). Trying Hard Is Not Good Enough: How to Produce Measurable Improvements for Customers and Communities. Victoria, BC: Trafford Publishing. ISBN: 9781439237861W.K. Kellogg Foundation (2004). Logic Model Development Guide. Battle Creek, MI: W.K. Kellogg Foundation. link ↗
别名RBA, Outcomes-Based Accountability, OBA, Friedman Results-Based AccountabilityLogic Model, Logical Framework Analysis, Program Logic, Logframe Analysis
相关44
摘要Results-Based Accountability (RBA), also known as Outcomes-Based Accountability, is a disciplined performance framework developed by Mark Friedman and set out in his 2005 book Trying Hard Is Not Good Enough. It provides a simple, common-sense method for moving from talk about results to measurable action, organised around a sharp distinction between population accountability — the wellbeing of whole populations in a place — and performance accountability — how well a specific program, agency or service is doing. For each, RBA asks the same disciplined set of questions and drives toward concrete actions that 'turn the curve' on key indicators.A logic model is a systematic, visual representation of how a program is understood to work: it lays out the logical relationships among the resources invested (inputs), the things done (activities), the products of those activities (outputs), and the changes expected to follow (outcomes and impact). Logic model analysis is the practice of building, examining and using these models to plan programs, guide implementation, and structure evaluation. Popularised by the United Way and codified in the W.K. Kellogg Foundation's widely used 2004 Logic Model Development Guide, it has become the workhorse framework of program planning and evaluation.
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ScholarGate方法对比: Results-Based Accountability · Logic Model Analysis. 于 2026-06-25 检索自 https://scholargate.app/zh/compare