This article introduces the cat.dt package for the creation of Computerized Adaptive Tests (CATs). Unlike existing packages, the cat.dt package represents the CAT in a Decision Tree (DT) structure. This allows building the test before its administration, ensuring that the creation time of the test is independent of the number of participants. Moreover, to accelerate the construction of the tree, the package controls its growth by joining nodes with similar estimations or distributions of the ability level and uses techniques such as message passing and pre-calculations. The constructed tree, as well as the estimation procedure, can be visualized using the graphical tools included in the package. An experiment designed to evaluate its performance shows that the cat.dt package drastically reduces computational time in the creation of CATs without compromising accuracy.
catR, mirtCAT, catIrt, Matrix, Rglpk, ggplot2
Psychometrics, Econometrics, Multivariate, NumericalMathematics, Optimization, Phylogenetics, TeachingStatistics
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For attribution, please cite this work as
Rodríguez-Cuadrado, et al., "cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees", The R Journal, 2021
BibTeX citation
@article{RJ-2021-091,
author = {Rodríguez-Cuadrado, Javier and Laria, Juan C. and Delgado-Gómez, David},
title = {cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-091},
doi = {10.32614/RJ-2021-091},
volume = {13},
issue = {2},
issn = {2073-4859},
pages = {123-134}
}