Computerized Adaptive Testing with Multidimensional Item Response Theory
Generate an adaptive or non-adaptive test HTML interface
Compute the values given the criteria and internal objects
Create a unique GUI session name from a string of characters
Function returning an object used by shiny
Extract elements from the internal person, test, and design objects
Find next CAT item
Generate a CAT patterns
Generate a mirt object from population parameters
Get the internal working environment state during mirtCAT session
Retrieve person object after running createShinyGUI
Preamble function called by mirtCAT
Computerized Adaptive Testing with Multidimensional Item Response Theo...
Update design elements
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.
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