maat1.1.0 package

Multiple Administrations Adaptive Testing

assessment_structure-class

Class 'assessment_structure': assessment structure

boundGrade

Bound grades within a specified range

changeGrade

Grade operator: add or subtract

changePhase

Phase operator: move to next phase

changeTest

Test operator: move to next phase

createAssessmentStructure

Create an assessment structure

createModule

Create a single module

examinee-class

Class 'examinee': a single examinee

excludeAdministeredItems

Update a constraints object to exclude administered items

formatOutput

Format the output of maat

getAdaptivityIndex

Calculate adaptivity indices from an examinee list object

getAdministeredItemsPerTest

Get administered items per test

getBias

Calculate bias from an examinee list object

getItemExposureRate

Get item exposure rates from an examinee list

getItemNamesPerGrade

Get item names per grade

getRelativeGrade

Grade operator: difference between two grades

getRMSE

Calculate RMSE from an examinee list object

getSE

Calculate standard error from an examinee list object

loadModules

Load multiple modules

maat-package

Multiple Administrations Adaptive Testing

maat

Simulate multi-stage multi-administration adaptive test

module-class

Class 'module': a module

output_maat-class

Class 'output_maat': a simulation output

plot-methods

Extension of plot()

print-methods

Extension of print()

removeItemData

Remove item data from examinee list

show-methods

Extension of show()

simExaminees

Simulate an examinee list

simTheta

Simulate theta values

updateAssessmentLevelTheta

Update the assessment-level theta of an examinee object

updateGrade

Update the grade slot of an examinee object

updateItemData

Update the item data slot of an examinee object

updateLog

Update the routing log of an examinee object

updateModule

Update the current module of an examinee object

updatePhase

Update the current phase of an examinee object

updateTest

Update the current test of an examinee object

updateThetaForRouting

Update the theta used for routing of an examinee object

updateThetaUsingCombined

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.

  • Maintainer: Seung W. Choi
  • License: GPL (>= 2)
  • Last published: 2022-05-18