Description: Bayesian Networks in Educational Assessment by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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 volumes 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. Details ISBN 1493938282 ISBN-13 9781493938285 Title Bayesian Networks in Educational Assessment Author Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson Format Paperback Year 2016 Pages 662 Publisher Springer-Verlag New York Inc. GE_Item_ID:137942456; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 128.58 USD
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End Time: 2024-12-31T04:03:46.000Z
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Restocking Fee: No
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Refund will be given as: Money Back
ISBN-13: 9781493938285
Book Title: Bayesian Networks in Educational Assessment
Number of Pages: Xxxiii, 662 Pages
Publication Name: Bayesian Networks in Educational Assessment
Language: English
Publisher: Springer New York
Publication Year: 2016
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Evaluation & Assessment, Statistics, Probability & Statistics / Bayesian Analysis
Type: Textbook
Item Weight: 365.1 Oz
Author: Robert J. Mislevy, Russell G. Almond, Linda Steinberg, David Williamson, Duanli Yan
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Social Science, Education
Item Width: 6.1 in
Series: Statistics for Social and Behavioral Sciences Ser.
Format: Trade Paperback
