Using R for Item Response Theory Model Applications
Routledge
ISBN13:
9781138542785
$188.49
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.
- | Author: Insu Paek, Ki Cole
- | Publisher: Routledge
- | Publication Date: Sep 10, 2019
- | Number of Pages: 272 pages
- | Language: English
- | Binding: Hardcover
- | ISBN-10: 1138542784
- | ISBN-13: 9781138542785
- Author:
- Insu Paek, Ki Cole
- Publisher:
- Routledge
- Publication Date:
- Sep 10, 2019
- Number of pages:
- 272 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 1138542784
- ISBN-13:
- 9781138542785