The Basics of Item Response Theory Using R

By Brooke E. Magnus. Measurement: Interdisciplinary Research and Perspectives, 2018

289 citations recorded by the source corpus.

ABSTRACT This article reviews the book The Basics of Item Response Theory Using R by Baker and Kim (2017). It describes the structure and goals of the book, provides an overview of each chapter, and concludes with general comments. Both strengths and limitations of the book are discussed.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/948a4713ddeae95156b00f87966c7b582aae922d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Sergio S. Braga Junior
2. Marcelo L. D. S. Gabriel
3. Joseph F. Hair
4. Dirceu Silva
5. Marko Sarstedt

In Management Science and Operations Research

1. Sergio S. Braga Junior
2. Marcelo L. D. S. Gabriel
3. Joseph F. Hair
4. Dirceu Silva
5. Christian M. Ringle
6. Marko Sarstedt
7. Jörg Henseler

Citations in the corpus

• Development and validation of attitudes measurement scales: fundamental and practical aspects (2019, methodology): “To perform the CFA and CCA, the following sources are recommended: Hair et al. (2019b) and Brown (2015); for IRT, Alaya (2009) and Baker and Kim (2017) are useful; and for CCA, Hair et al. (2019a).”