Comparar métodos

	Results-Based Accountability	Logic Model Analysis
Área	Public Policy	Public Policy
Família	Process / pipeline	Process / pipeline
Ano de origem	2005	2004
Autor original	Mark Friedman	Program evaluation field; popularised by United Way and the W.K. Kellogg Foundation
Tipo	Performance accountability and measurement framework	Visual planning and evaluation framework
Fonte seminal	Friedman, M. (2005). Trying Hard Is Not Good Enough: How to Produce Measurable Improvements for Customers and Communities. Victoria, BC: Trafford Publishing. ISBN: 9781439237861	W.K. Kellogg Foundation (2004). Logic Model Development Guide. Battle Creek, MI: W.K. Kellogg Foundation.
Outros nomes	RBA, Outcomes-Based Accountability, OBA, Friedman Results-Based Accountability	Logic Model, Logical Framework Analysis, Program Logic, Logframe Analysis
Relacionados	4	4
Resumo	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.