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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.
Getting started
Browse package contents
Package details |
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| Author | Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>), Magnus Nordmo [ctb] (<https://orcid.org/0000-0002-1977-1038>) |
| Maintainer | Phil Chalmers <rphilip.chalmers@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.13 |
| URL | https://github.com/philchalmers/mirtCAT https://github.com/philchalmers/mirtCAT/wiki https://groups.google.com/forum/#!forum/mirt-package |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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