Computerized Adaptive Testing with R: Recent Updates of the Package catR | Zendy

David Magis | Zendy; Juan Ramón Barrada | Zendy

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Computerized Adaptive Testing with R: Recent Updates of the Package catR

Author(s) -

David Magis,

Juan Ramón Barrada

Publication year - 2017

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v076.c01

Subject(s) - r package , polytomous rasch model , computer science , computerized adaptive testing , item response theory , selection (genetic algorithm) , data mining , machine learning , programming language , statistics , mathematics , psychometrics

The purpose of this paper is to list the recent updates of the R package catR. This package allows for generating response patterns under a computerized adaptive testing (CAT) framework with underlying item response theory (IRT) models. Among the most important updates, well-known polytomous IRT models are now supported by catR; several item selection rules have been added; and it is now possible to perform post-hoc simulations. Some functions were also rewritten or withdrawn to improve the usefulness and performances of the package.

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