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" Using R for item response theory model applications / "
Insu Paek and Ki Cole.
Document Type
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BL
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Record Number
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842121
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Main Entry
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Paek, Insu, (Professor of measurement and statistics)
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Title & Author
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Using R for item response theory model applications /\ Insu Paek and Ki Cole.
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Publication Statement
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Abingdon, Oxon ;New York, NY :: Routledge,, 2020.
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, ©2020
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Page. NO
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1 online resource (viii, 271 pages) :: illustrations (black and white)
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ISBN
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1351008137
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: 1351008145
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: 1351008153
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: 1351008161
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: 9781351008136
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: 9781351008143
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: 9781351008150
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: 9781351008167
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1138542784
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1138542792
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9781138542785
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9781138542792
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Bibliographies/Indexes
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Includes bibliographical references and index.
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Contents
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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.
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Abstract
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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.
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Subject
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Item response theory.
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Subject
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R (Computer program language)
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Subject
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Item response theory.
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Subject
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PSYCHOLOGY / Research Methodology
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Subject
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PSYCHOLOGY / Statistics
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Subject
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R (Computer program language)
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Subject
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SOCIAL SCIENCE / Research
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Dewey Classification
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150.28/7
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LC Classification
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BF39.2.I84P43 2020
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Added Entry
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Cole, Ki
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