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. . Language: English