Bayesian Networks in Educational Assessment by Robert J. Mislevy, Russell G. Almond, Linda S. Steinberg, David M. Williamson, Duanli Yan (Hardcover, 2015)
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.
Product Identifiers
Publisher
Springer-Verlag New York Inc.
ISBN-13
9781493921249
eBay Product ID (ePID)
208969649
Product Key Features
Subject Area
Social Research
Author
Robert J. Mislevy, Russell G. Almond, Linda S. Steinberg, David M. Williamson, Duanli Yan
Publication Name
Bayesian Networks in Educational Assessment
Format
Hardcover
Language
English
Subject
Computer Science, Mathematics
Publication Year
2015
Type
Textbook
Number of Pages
662 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Additional Product Features
Title_Author
Linda S. Steinberg, Russell G. Almond, Duanli Yan, David M. Williamson, Robert J. Mislevy
Series Title
Statistics for Social and Behavioral Sciences
Country/Region of Manufacture
United States
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