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Description

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.

mirtCAT

Computerized Adaptive Testing with Multidimensional Item Response Theory

Welcome

Description

Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package. Suitable for applying unidimensional and multidimensional computerized adaptive tests using item response theory methodology.

Examples and Evaluated Help Files

Various examples and worked help files have been compiled using the knitr package to generate HTML output, and are available on the wiki. User contributions are welcome!

Math Table

Installing from Github

To install the development version of this package, use the following code.

#if not installed already on your computer, install devtools
install.packages('devtools')

#load and install the package
library('devtools')
install_github('philchalmers/mirtCAT')

#reload the package
library('mirtCAT')

Bugs and Questions

Bug reports are always welcome and the preferred way to address these bugs is through the Github 'issues'. Feel free to submit issues or feature requests on the site, and I'll address them ASAP. Also, if you have any questions about the package, or IRT in general, then feel free to create a 'New Topic' in the mirt-package Google group. Cheers!

Metadata

Version

1.14

License

Unknown

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