Bayesian Networks in Educational Assessment - Couverture souple

Livre 29 sur 40: Statistics for Social and Behavioral Sciences

Almond, Russell G.; Mislevy, Robert J.; Steinberg, Linda S.; Yan, Duanli ; Williamson, David M.

9781493938285: Bayesian Networks in Educational Assessment

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ISBN 10 : 1493938282 ISBN 13 : 9781493938285

Editeur : Springer-Verlag New York Inc., 2016

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This book reviews the literature on graphical models from the statistics and artificial intelligence communities in which they are quite popular and looks at specific applications of these models to educational testing.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer-Verlag New York Inc.
Date d'�dition: 2016
Langue: anglais
ISBN 10: 1493938282
ISBN 13: 9781493938285
Reliure: Broch�
Nombre de pages: 695
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences)

Almond, Russell G.; Mislevy, Robert J.; Steinberg, Linda S.; Yan, Duanli; Williamson, David M.

Edit� par Springer, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences)

Russell G. Almond, Robert J. Mislevy, Linda S. Steinberg

Edit� par Springer 2016-10-05, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Bayesian Networks in Educational Assessment

Russell G. Almond

Edit� par Springer New York Okt 2016, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments.Part I develops Bayes nets' foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume's grounding in Evidence-Centered Design (ECD) framework for assessment design. This 'design forward' approach enables designers to take full advantage of Bayes nets' modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD,situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics.This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources. 696 pp. Englisch. N� de r�f. du vendeur 9781493938285

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Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences)

Almond, Russell G.; Mislevy, Robert J.; Steinberg, Linda S.; Yan, Duanli; Williamson, David M.

Edit� par Springer, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Bayesian Networks in Educational Assessment

Russell G. Almond|Robert J. Mislevy|Linda S. Steinberg|Duanli Yan|David M. Williamson

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features exercises to make the material concreteECD portions of the book&nbsp(Ch. 2, 12&nbsp& 13) build on work that was basis for the 2000 NCME award for Outstanding Technical Contribution to Educational Measurement received by the authors. N� de r�f. du vendeur 447955362

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Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences)

Almond, Russell G.; Mislevy, Robert J.; Steinberg, Linda S.; Yan, Duanli; Williamson, David M.

Edit� par Springer, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Bayesian Networks in Educational Assessment (Statistics for Social and Behavioral Sciences)

Almond, Russell G.; Mislevy, Robert J.; Steinberg, Linda S.; Yan, Duanli; Williamson, David M.

Edit� par Springer, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Bayesian Networks in Educational Assessment

Russell G. Almond (u. a.)

Edit� par Springer, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

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Bayesian Networks in Educational Assessment

Russell G. Almond

Edit� par Springer New York, Springer New York Okt 2016, 2016

ISBN 10 : 1493938282 ISBN 13 : 9781493938285

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments.Part I develops Bayes nets� foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume�s grounding in Evidence-Centered Design (ECD) framework for assessment design. This �design forward� approach enables designers to take full advantage of Bayes nets� modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD,situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics.This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 696 pp. Englisch. N� de r�f. du vendeur 9781493938285

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