R Packages for Item Response Theory Analysis: Descriptions and Features

Youn‐Jeng Choi · Abdullah Asilkalkan

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Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Data Analysis with R

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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References

1992Fundamentals of item response theory 2012mirt : A Multidimensional Item Response Theory Package for the R Environment 1985Item Response Theory 1984Item Response Theory: Principles and Applications 2006ltm : An R Package for Latent Variable Modeling and Item Response Theory Analyses 1971A Theory and Procedure of Scale Analysis 1961On General Laws and the Meaning of Measurement in Psychology 2002Introduction to Nonparametric Item Response Theory

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