Implements Computerized Adaptive Testing Simulations

Computerized Adaptive Testing simulations with dichotomous and polytomous items. Selects items with Maximum Fisher Information method or randomly, with or without constraints (content balancing and item exposure control). Evaluates the simulation results in terms of precision, item exposure, and test length. Inspired on Magis & Barrada (2017) .


simCAT

simCAT implements Computerized Adaptive Testing simulations with dichotomous items. The program selects items with Maximum Fisher Information method or randomly, with or without constraints (content balancing and item exposure control).

To install simCAT, use:

devtools::install_github('alexandrejaloto/simCAT')

To simulate using a friendly interface, use:

simCAT::sim.shiny()

We will be happy to read your suggestions: [email protected].

Reference manual

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install.packages("simCAT")

1.0.1 by Alexandre Jaloto, 2 years ago


https://github.com/alexandrejaloto/simCAT


Browse source code at https://github.com/cran/simCAT


Authors: Alexandre Jaloto [aut, cre] , Ricardo Primi [ths]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, mirt, mirtCAT, shiny, shinycssloaders


See at CRAN