Includes bibliographical references (pages 419-438) and indexes
CONTENTS NOTE
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Introduction to measurement -- The one-parameter model -- Joint maximum likelihood parameter estimation -- Marginal maximum likelihood parameter estimation -- The two-parameter model -- The three-parameter model -- Rasch models for ordered polytomous data -- Non-Rasch models for ordered polytomous data -- Models for nominal polytomous data -- Models for multidimensional data -- Linking and equating -- Differential item functioning -- Appendix A. Maximum likelihood estimation of person locations -- Appendix B. Maximum likelihood estimation of item locations -- Appendix C. The normal Ogive models -- Appendix D. Computerized adaptive testing -- Appendix E. Miscellanea
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SUMMARY OR ABSTRACT
Text of Note
"Designed for researchers, psychometric professionals, and advanced students, this book clearly presents both the "how-to" and the "why" of item response theory (IRT). It describes simple and more complex IRT models and shows how they are applied with the help of widely available software packages. Chapters follow a consistent format and build sequentially, taking the reader from model development through the fit analysis and interpretation phases that one would perform in practice. The use of common empirical data sets across the chapters facilitates understanding of the various models and how they relate to one another."--BOOK JACKET