Adaptive Evaluation Methodology Prototypes:  Examples

dc.creator	Minkoff, Alan S.
dc.date	2004-05-28T19:26:26Z
dc.date	2004-05-28T19:26:26Z
dc.date	1981-12
dc.date.accessioned	2013-10-09T02:38:08Z
dc.date.available	2013-10-09T02:38:08Z
dc.date.issued	2013-10-09
dc.identifier	http://hdl.handle.net/1721.1/5173
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	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.
dc.format	1744 bytes
dc.format	1895489 bytes
dc.format	application/pdf
dc.language	en_US
dc.publisher	Massachusetts Institute of Technology, Operations Research Center
dc.relation	Operations Research Center Working Paper;OR 111-81
dc.title	Adaptive Evaluation Methodology Prototypes: Examples
dc.type	Working Paper

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