R Packages for Item Response Theory Analysis: Descriptions and Features

Youn Jeng Choi, Abdullah Asilkalkan

Research output: Contribution to journalReview articlepeer-review

4 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 languageEnglish
Pages (from-to)168-175
Number of pages8
JournalMeasurement
Volume17
Issue number3
DOIs
StatePublished - 2019

Keywords

  • differential item functioning
  • equating
  • item response theory
  • R package
  • simulation study

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