Japanese Journal for Research on Testing
Online ISSN : 2433-7447
Print ISSN : 1880-9618
Conversion of IRT Item Response Models
Shin-ichi Mayekawa
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2023 Volume 19 Issue 1 Pages 35-58

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Abstract

When we construct an item bank, it is important to choose item response models carefully. However, due to various reasons, we may have to convert the item response models from one model to another. Furthermore, when we wish to compare several item response models, it is helpful if we can find a model which best matches the item characteristics of another. In this article, we developed a method to convert an item response model to another, implemented the method as an R package, and showed some numerical examples using both artificial and real data sets.

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© 2023 The Japan Association for Research on Testing
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