Using R for item response theory model applications /

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 applie...

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Bibliographic Details
Main Authors: Paek, Insu (Professor of measurement and statistics) (Author), Cole, Ki (Author)
Format: Book
Language:English
Published: Abingdon, Oxon ; New York, NY : Routledge, 2020.
Subjects:
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100 1 |a Paek, Insu  |c (Professor of measurement and statistics),  |e author. 
245 1 0 |a Using R for item response theory model applications /  |c Insu Paek and Ki Cole. 
264 1 |a Abingdon, Oxon ;  |a New York, NY :  |b Routledge,  |c 2020. 
264 4 |c ©2020 
300 |a viii, 271 pages :  |b illustrations ;  |c 24 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Preface -- 1. Introduction -- 2. Unidimensional IRT with dichotomous item responses -- 3. Unidimensional IRT with polytomous item responses -- 4. Unidimensional IRT with other applications -- 5. Multidimensional IRT for simple structure -- 6. Multidimensional IRT for bifactor structure -- 7. Limitations and caveat -- Index. 
520 |a 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--back cover. 
650 0 |a Item response theory. 
650 0 |a R (Computer program language) 
700 1 |a Cole, Ki,  |e author. 
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