Item Response Theory: Parameter Estimation Techniques, Second Edition, 2nd Edition (Hardback) book cover

Item Response Theory

Parameter Estimation Techniques, Second Edition, 2nd Edition

Edited by Frank B. Baker, Seock-Ho Kim

CRC Press

528 pages

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pub: 2004-07-20
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Description

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.

Reviews

"…an excellent resource for the serious investigator doing research involving estimation of IRT model parameters."

-Journal of the American Statistical Association

"…Baker has the unique ability to present complex material in a form that is easily understood….This book belongs on the bookshelf of every advanced student in psychometrics. It should also prove invaluable to students in statistics."

-Journal of Educational Measurement

Table of Contents

The Item Characteristic Curve: Dichotomous Response

Estimating the Parameters of an Item Characteristic Curve

Maximum Likelihood Estimation of Examinee Ability

Maximum Likelihood Procedures for Estimating Both Ability and Item Parameters

The Rasch Model

Marginal Maximum Likelihood Estimation and an EM Algorithm

Bayesian Parameter Estimation Procedures

The Graded Item Response

Nominally Scored Items

Markov Chain Monte Carlo Methods

Parameter Estimation with Multiple Groups

Parameter Estimation for a Test with Mixed Item Types

About the Series

Statistics: A Series of Textbooks and Monographs

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Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General