ERIC Number: EJ1226224
Record Type: Journal
Publication Date: 2019
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1536-6367
EISSN: N/A
R Packages for Item Response Theory Analysis: Descriptions and Features
Choi, Youn-Jeng; Asilkalkan, Abdullah
Measurement: Interdisciplinary Research and Perspectives, v17 n3 p168-175 2019
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.
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias, Goodness of Fit, Simulation, Computer Assisted Testing, Accuracy, Classification, Test Reliability
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A