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Markov Analysis of an Alternative to Pure Random Assignment

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dc.creator Bier, Vicki M.
dc.date 2004-05-28T19:25:49Z
dc.date 2004-05-28T19:25:49Z
dc.date 1979-07
dc.date.accessioned 2013-10-09T02:38:02Z
dc.date.available 2013-10-09T02:38:02Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5160
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description 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.
dc.description 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.
dc.format 1746 bytes
dc.format 1997049 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 090-79
dc.title Markov Analysis of an Alternative to Pure Random Assignment
dc.type Working Paper


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