R Packages for Item Response Theory Analysis: Descriptions and Features
- Resource Type
- Journal Articles
Reports - Descriptive
- Authors
- Choi, Youn-Jeng (ORCID 0000-0001-9803-2681); Asilkalkan, Abdullah
- Source
- Measurement: Interdisciplinary Research and Perspectives. 2019 17(3):168-175.
- Subject
- Item Response Theory
Data Analysis
Computer Software
Test Bias
Goodness of Fit
Simulation
Computer Assisted Testing
Accuracy
Classification
Test Reliability
- Language
- English
- ISSN
- 1536-6367
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.