عنوان

Using R for item response theory model applications /

1351008137

1351008145

1351008153

1351008161

9781351008136

9781351008143

9781351008150

9781351008167

1138542784

1138542792

9781138542785

9781138542792

Using R for item response theory model applications /

[Book]

Insu Paek and Ki Cole.

New York, NY :

Routledge,

2020.

©2020

1 online resource (viii, 271 pages) :

illustrations (black and white)

Includes bibliographical references and index.

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.

0

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.

Taylor & Francis

9781351008167

9781138542792

Item response theory.

R (Computer program language)

Item response theory.

PSYCHOLOGY / Research & Methodology

PSYCHOLOGY / Statistics

R (Computer program language)

SOCIAL SCIENCE / Research

JMB

PSY-- 030000

PSY-- 032000

SOC-- 024000

Paek, Insu, (Professor of measurement and statistics)

Cole, Ki

20200822162810.0

rda

[Book]

Y