mirtCAT: Computerized Adaptive Testing with Multidimensional Item Response Theory

Provides tools to generate HTML interfaces for adaptive and non-adaptive 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 that contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying test item banks.

Package details

AuthorPhil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>), Magnus Nordmo [ctb] (<https://orcid.org/0000-0002-1977-1038>)
MaintainerPhil Chalmers <rphilip.chalmers@gmail.com>
LicenseGPL (>= 3)
Version1.14
URL https://github.com/philchalmers/mirtCAT https://github.com/philchalmers/mirtCAT/wiki https://groups.google.com/forum/#!forum/mirt-package
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mirtCAT")

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mirtCAT documentation built on Sept. 11, 2024, 9:34 p.m.