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:
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Insu Paek is an associate professor at Florida State University. Before he came to Florida State University, he worked as a psychometrician for large-scale assessment programs and in testing companies for several years. His research interests are educational and psychological measurement and item response modeling and its application.
Ki Cole is an assistant professor at Oklahoma State University. She teaches graduate level educational statistics courses, including item response theory and factor analysis for the behavioural sciences. Her research interests include the theory and applications of psychometrics, scale development, understanding response tendencies, and software evaluation.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | 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 modelingpolytomous response modelingmixed format data modelingconcurrent multiple group modelingfixed item parameter calibrationmodelling with latent regression to include person-level covariate(s)simple structure, or between-item, multidimensional modelingcross-loading, or within-item, multidimensional modelinghigh-dimensional modelingbifactor modelingtestlet modelingtwo-tier modelingFor 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. Codice articolo 35476396/2
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Insu Paek is an associate professor at Florida State University. Before he came to Florida State University, he worked as a psychometrician for large-scale assessment programs and in testing companies for several years. His research inte. Codice articolo 316786014
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