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This book describes the most recently developed item response theory (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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Previews available in: English
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1
Item Response Theory: Parameter Estimation Techniques, Second Edition
2023, Taylor & Francis Group
in English
103247792X 9781032477923
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2
Item Response Theory: Parameter Estimation Techniques, Second Edition
2004, Taylor & Francis Group
in English
1482276720 9781482276725
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3
Item Response Theory: Parameter Estimation Techniques, Second Edition
2004, Taylor & Francis Group
in English
0429153627 9780429153624
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4
Item response theory: parameter estimation techniques
2004, Marcel Dekker
in English
- 2nd ed., rev. and expanded.
0824758250 9780824758257
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5
Item response theory: parameter estimation techniques
1992, M. Dekker
in English
082478636X 9780824786366
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Book Details
Edition Notes
Includes bibliographical references (p. 409-424) and index.
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- Created April 1, 2008
- 8 revisions
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