Multiple Administrations Adaptive Testing
Class 'assessment_structure': assessment structure
Bound grades within a specified range
Grade operator: add or subtract
Phase operator: move to next phase
Test operator: move to next phase
Create an assessment structure
Create a single module
Class 'examinee': a single examinee
Update a constraints object to exclude administered items
Format the output of maat
Calculate adaptivity indices from an examinee list object
Get administered items per test
Calculate bias from an examinee list object
Get item exposure rates from an examinee list
Get item names per grade
Grade operator: difference between two grades
Calculate RMSE from an examinee list object
Calculate standard error from an examinee list object
Load multiple modules
Multiple Administrations Adaptive Testing
Simulate multi-stage multi-administration adaptive test
Class 'module': a module
Class 'output_maat': a simulation output
Extension of plot()
Extension of print()
Remove item data from examinee list
Extension of show()
Simulate an examinee list
Simulate theta values
Update the assessment-level theta of an examinee object
Update the grade slot of an examinee object
Update the item data slot of an examinee object
Update the routing log of an examinee object
Update the current module of an examinee object
Update the current phase of an examinee object
Update the current test of an examinee object
Update the theta used for routing of an examinee object
Update theta estimates using combined responses from a test
Provides an extension of the shadow-test approach to computerized adaptive testing (CAT) implemented in the 'TestDesign' package for the assessment framework involving multiple tests administered periodically throughout the year. This framework is referred to as the Multiple Administrations Adaptive Testing (MAAT) and supports multiple item pools vertically scaled and multiple phases (stages) of CAT within each test. Between phases and tests, transitioning from one item pool (and associated constraints) to another is allowed as deemed necessary to enhance the quality of measurement.