mirtCAT: Computerized Adaptive Testing with Multidimensional Item Response Theory

Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package (Chalmers (2016) <doi:10.18637/jss.v071.i05>). Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests which contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying the behavior of computerized adaptive test banks.

Package details

AuthorPhil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>)
MaintainerPhil Chalmers <rphilip.chalmers@gmail.com>
LicenseGPL (>= 3)
URL https://github.com/philchalmers/mirtCAT https://github.com/philchalmers/mirtCAT/wiki https://groups.google.com/forum/#!forum/mirt-package
Package repositoryView on CRAN
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mirtCAT documentation built on July 10, 2020, 9:06 a.m.