Item Response Theory - Parameter Estimation Techniques, Second Edition (Paperback, 2nd edition)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Statistics: A Series of Textbooks and Monographs
Release date:	2023
First published:	2004
Editors:	Frank B. Baker • Seock-Ho Kim
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	524
Edition:	2nd edition
ISBN-13:	978-1-03-247792-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Psychology > Psychological methodology > General
LSN:	1-03-247792-X
Barcode:	9781032477923

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