عنوان

Using R for item response theory model applications /

(Number (ISBN

1351008137

(Number (ISBN

1351008145

(Number (ISBN

1351008153

(Number (ISBN

1351008161

(Number (ISBN

9781351008136

(Number (ISBN

9781351008143

(Number (ISBN

9781351008150

(Number (ISBN

9781351008167

Erroneous ISBN

1138542784

Erroneous ISBN

1138542792

Erroneous ISBN

9781138542785

Erroneous ISBN

9781138542792

Title Proper

Using R for item response theory model applications /

General Material Designation

[Book]

First Statement of Responsibility

Insu Paek and Ki Cole.

Place of Publication, Distribution, etc.

New York, NY :

Name of Publisher, Distributor, etc.

Routledge,

Date of Publication, Distribution, etc.

2020.

Date of Publication, Distribution, etc.

©2020

Specific Material Designation and Extent of Item

1 online resource (viii, 271 pages) :

Other Physical Details

illustrations (black and white)

Text of Note

Includes bibliographical references and index.

Text of Note

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

Text of Note

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.

Source for Acquisition/Subscription Address

Taylor & Francis

Stock Number

9781351008167

International Standard Book Number

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

Number

Edition

Class number

Book number

Paek, Insu, (Professor of measurement and statistics)

Cole, Ki

Date of Transaction

20200822162810.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

Y