Item Response Theory: Parameter Estimation Techniques, Second Edition

Frank B. Baker, Seock-Ho Kim

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

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Features

  • 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
  • Includes a CD-ROM containing updated BASIC and Java codes for estimation algorithms discussed in the book
  • Provides appendices illustrating the implementation of each estimation procedure presented in the text
  • Contains numerous examples drawn from various research studies that demonstrate the different concepts or relationships discussed in the text
  • 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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