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Adaptive Evaluation Methodology Prototypes: Examples

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dc.contributor.author Minkoff, Alan S. en_US
dc.date.accessioned 2004-05-28T19:26:26Z
dc.date.available 2004-05-28T19:26:26Z
dc.date.issued 1981-12 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/5173
dc.description.abstract Flexibility or adaptivity in public program evaluation can lead to large savings in time and money, with little or no loss in accuracy, if used properly. In this paper, guidelines are suggested for the employment of classical statistics in adaptive evaluation methodology. Through the case setting of a flu clinic, candidate techniques are demonstrated for handling problems in hypothesis testing, estimation, adaptive allocation of information-gathering resources, and before-and-after-type comparisons. In some cases, classical statistics proves quite adaptable to the requirements of the situation, while in others, its introduction is more artificial. en_US
dc.format.extent 1744 bytes
dc.format.extent 1895489 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center en_US
dc.relation.ispartofseries Operations Research Center Working Paper;OR 111-81 en_US
dc.title Adaptive Evaluation Methodology Prototypes: Examples en_US
dc.type Working Paper en_US


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