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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.14 |
2026-04-09 windows/windows R-4.5 | mirtCAT_1.14.zip |
755.2 KiB |