9781493938285 - bayesian networks in educational assessment (statistics for social and behavioral sciences) von almond, russell g.; mislevy, robert j.; steinberg, linda s.; yan, duanli; williamson, david m. (4 Ergebnisse)

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.
Sprache: Englisch
Verlag: Springer 2016
Serie: Statistics for Social and Behavioral Sciences, Buch 29 von 40. Buch 29 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Weitere BilderSprache: Englisch
Verlag: Springer 2016
Serie: Statistics for Social and Behavioral Sciences, Buch 29 von 40. Buch 29 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Taschenbuch. Zustand: Neu. Bayesian Networks in Educational Assessment | Russell G. Almond (u. a.) | Taschenbuch | Statistics for Social and Behavioral Sciences | xxxiii | Englisch | 2016 | Springer | EAN 9781493938285 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.

Bayesian Networks in Educational Assessment
Almond, Russell G./ Mislevy, Robert J./ Steinberg, Linda/ Yan, Duanli/ Williamson, David
Sprache: Englisch
Verlag: Springer Verlag 2016
Serie: Statistics for Social and Behavioral Sciences, Buch 29 von 40. Buch 29 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Paperback. Zustand: Brand New. reprint edition. 695 pages. 9.25x6.10x1.50 inches. In Stock.

Sprache: Englisch
Verlag: Springer New York 2016
Serie: Statistics for Social and Behavioral Sciences, Buch 29 von 40. Buch 29 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 app…lied 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.