Using R for Item Response Theory Model Applications

by Insu Paek

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Author: Insu Paek

Publisher: Routledge

Paperback:
ISBN 10: 1138542792
ISBN 13: 978-1138542792

Hardcover:
ISBN 10: 1138542784
ISBN 13: 978-1138542785

Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. Using R for Item Response Theory Model Applications is a practical guide for students, instructors, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data.

This book provides practical line-by-line descriptions of how to use R IRT packages for various IRT models. The scope and coverage of the modeling in the book covers almost all models used in practice and in popular research, including:

dichotomous response modeling

polytomous response modeling

mixed format data modeling

concurrent multiple group modeling

fixed item parameter calibration

modelling with latent regression to include person-level covariate(s)

simple structure, or between-item, multidimensional modeling

cross-loading, or within-item, multidimensional modeling

high-dimensional modeling

bifactor modeling

testlet modeling

two-tier modeling

For beginners, this book provides a straightforward guide to learn how to use R for IRT applications. For more intermediate learners of IRT or users of R, this book will serve as a great time-saving tool for learning how to create the proper syntax, fit the various models, evaluate the models, and interpret the output using popular R IRT packages.

Using R for Item Response Theory Model Applications

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Using R for Item Response Theory Model Applications