Item Response Theory: Parameter Estimation Techniques, Second Edition

2nd Edition

Frank B. Baker, Seock-Ho Kim

CRC Press
Published July 20, 2004
Reference - 528 Pages
ISBN 9780824758257 - CAT# DK2939
Series: Statistics: A Series of Textbooks and Monographs

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Summary

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.

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