Bayes Nets in Educational Assessment: Where Do the Numbers Come from? [electronic resource] : CSE Technical Report / Robert J. Mislevy, Russell G. Almond and Duanli Yan.

Educational assessments that exploit advances in technology and cognitive psychology can produce observations and pose student models that outstrip familiar test-theoretic models and analytic methods. Bayesian inference networks (BINs), which include familiar models and techniques as special cases,...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Mislevy, Robert J.
Corporate Authors:	University of California, Los Angeles. Center for the Study of Evaluation, University of California, Los Angeles. Center for Research on Evaluation, Standards, and Student Testing
Other Authors:	Almond, Russell G., Yan, Duanli, Steinberg, Linda S.
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 2000.
Subjects:	Bayesian Statistics. Educational Assessment. Educational Technology. Educational Testing. Item Banks. Markov Processes. Monte Carlo Methods. Networks. Test Theory.