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catR (version 2.6)

Procedures to generate IRT adaptive tests (CAT)

Description

The catR package allows the generation of response patterns under computerized adaptive testing (CAT) framework, with the choice of several starting rules, next item selection routines, stopping rules and ability estimators. Control methods for item exposure and content balancing are also included.

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Version

Install

install.packages('catR')

Monthly Downloads

946

Version

2.6

License

GPL (>= 2)

Maintainer

David Magis

Last Published

December 3rd, 2013

Functions in catR (2.6)

(Maximum) Expected Information (MEI)

EAP ability estimation under the 4PL model

Standard error of EAP ability estimation under the 4PL model

Testing the format of the input lists

Observed information function (4PL)

Item information functions, first and second derivatives (4PL)

Standard error of ability estimation under the 4PL model

Ability estimation under the 4PL model

Item response probabilities, first, second and third derivatives (4PL)

Random generation of adaptive tests

Selection of the next item

Testing the format of the list for content balancing

Items parameters of the TCALS 1998 data set and subgroups of items

Expected Posterior Variance (EPV)

Maximum likelihood weighted information (MLWI) and maximum posterior weighted information (MPWI)

Selection of the first items

Item bank generation