A Course in Item Response Theory and Modeling with Stata


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Authors:
Tenko Raykov and George A. Marcoulides
Publisher: Stata Press
Copyright: 2018
ISBN-13: 978-1-59718-266-9
Pages: 270; paperback
Price: $52.00
Authors:
Tenko Raykov and George A. Marcoulides
Publisher: Stata Press
Copyright: 2018
ISBN-13: 978-1-59718-267-6
Pages: 270; eBook
Price: $46.00
Authors:
Tenko Raykov and George A. Marcoulides
Publisher: Stata Press
Copyright: 2018
ISBN-13: 978-1-59718-268-3
Pages: 270; eBook
Price: $41.50
Download the datasets used in this book

Comment from the Stata technical group

Item response theory (IRT) is used to evaluate the relationship between a latent trait such as mathematical ability, quality of life, or patient satisfaction and the test questions or items intended to measure that trait. IRT is useful when developing new instruments, when analyzing and scoring data collected from these instruments, when comparing instruments that measure the same trait, and more.

A Course in Item Response Theory and Modeling with Stata, by Tenko Raykov and George A. Marcoulides, is a comprehensive introduction to the concepts of IRT that includes numerous examples using Stata's powerful suite of IRT commands.

The authors' development of IRT builds on the foundations of classical test theory, nonlinear factor analysis, and generalized linear models. Using these concepts, the book then explains IRT models, estimation via maximum likelihood, item characteristic curves, and information functions. The examples demonstrate how to fit many kinds of IRT models, including one-, two-, and three-parameter logistic models for binary items as well as nominal, ordinal, and hybrid models for polytomous items. In addition, the authors provide overviews of instrument construction and of differential item functioning.

A Course in Item Response Theory and Modeling with Stata is an outstanding text both for those who are new to IRT and for those who are familiar with IRT but new to fitting these models in Stata. It is a useful text for IRT courses and for researchers who use IRT.

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