UID:
almahu_9949383620102882
Umfang:
1 online resource (viii, 271 pages) :
,
illustrations (black and white)
ISBN:
9781351008150
,
1351008153
,
9781351008167
,
1351008161
,
9781351008136
,
1351008137
,
9781351008143
,
1351008145
Inhalt:
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.
Anmerkung:
Introduction -- Unidimensional IRT with dichotomous item responses -- Unidimensional IRT with polytomous item responses -- Unidimensional IRT for other applications -- Multidimensional IRT for simple structure -- Multidimensional IRT for bifactor structure -- Limitations and caveat.
Weitere Ausg.:
Print version: ISBN 1138542792
Weitere Ausg.:
ISBN 9781138542792
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781351008167
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