R Packages for Item Response Theory Analysis: Descriptions and Features

Youn Jeng Choi; Abdullah Asilkalkan

doi:10.1080/15366367.2019.1586404

R Packages for Item Response Theory Analysis: Descriptions and Features

Youn Jeng Choi, Abdullah Asilkalkan

Department of Education

Research output: Contribution to journal › Review article › peer-review

15 Scopus citations

Abstract

About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications such as differential item functioning and equating are also introduced. Thus, this article helps researchers who plan to use IRT-based analysis to decide on the type of IRT analysis and choose the appropriate R packages.

Original language	English
Pages (from-to)	168-175
Number of pages	8
Journal	Measurement
Volume	17
Issue number	3
DOIs	https://doi.org/10.1080/15366367.2019.1586404
State	Published - 2019

Bibliographical note

Publisher Copyright:
© 2019, © 2019 Taylor & Francis Group, LLC.

Keywords

R package
differential item functioning
equating
item response theory
simulation study

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10.1080/15366367.2019.1586404

Cite this

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title = "R Packages for Item Response Theory Analysis: Descriptions and Features",

abstract = "About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications such as differential item functioning and equating are also introduced. Thus, this article helps researchers who plan to use IRT-based analysis to decide on the type of IRT analysis and choose the appropriate R packages.",

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AB - About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications such as differential item functioning and equating are also introduced. Thus, this article helps researchers who plan to use IRT-based analysis to decide on the type of IRT analysis and choose the appropriate R packages.

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KW - differential item functioning

KW - equating

KW - item response theory

KW - simulation study

UR - https://www.scopus.com/pages/publications/85071356234

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JF - Measurement

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ER -

R Packages for Item Response Theory Analysis: Descriptions and Features

Abstract

Bibliographical note

Keywords

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