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Markov Analysis of an Alternative to Pure Random Assignment

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dc.contributor.author Bier, Vicki M. en_US
dc.date.accessioned 2004-05-28T19:25:49Z
dc.date.available 2004-05-28T19:25:49Z
dc.date.issued 1979-07 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/5160
dc.description.abstract There are many public policy settings in which random assignment of clients to experimental and control groups is not feasible. I will discuss one such case, and the alternative method of assignment which was actually used. The vulnerability of this method to intentional selection bias will be explored using Markov methods of analysis. en_US
dc.description.sponsorship Prepared under Grant Number 78NI-AX-0007 from the National Institute of Law Enforcement and Criminal Justice, Law Enforcement Assistance Administration, U.S. Department of Justice. en_US
dc.format.extent 1746 bytes
dc.format.extent 1997049 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 090-79 en_US
dc.title Markov Analysis of an Alternative to Pure Random Assignment en_US
dc.type Working Paper en_US


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