R Packages for Item Response Theory Analysis: Descriptions and Features.
- Resource Type
- Article
- Authors
- Choi, Youn-Jeng; Asilkalkan, Abdullah
- Source
- Measurement. Jul-Sep2019, Vol. 17 Issue 3, p168-175. 8p.
- Subject
- *ITEM response theory
*DIFFERENTIAL item functioning (Research bias)
- Language
- 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. [ABSTRACT FROM AUTHOR]