Using R for Item Response Theory Model Applications
Authors: Insu Paek
ISBN-10: 1138542792
ISBN-13: 9781138542792
Edition 版本: 1
Released: 2019-09-11
Print Length 页数: 280 pages
Book Description
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.
Contents
Preface
1Introduction
2Unidimensional IRT with dichotomous item responses
3 Unidimensional IRT with polytomous item responses
4Unidimensional IRT with other applications
5 Multidimensional IRT for simple structure
6Multidimensional IRT for bifactor structure
7 Limitations and caveat
Index
