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catR (version 2.0)

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

1,370

Version

2.0

License

GPL (>= 2)

Maintainer

David Magis

Last Published

October 23rd, 2011

Functions in catR (2.0)

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

EAP ability estimation under the 4PL model

Standard error of ability estimation under the 4PL model

Ability estimation under the 4PL model

Testing the format of the list for content balancing

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

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

Selection of the next item

Testing the format of the input lists

(Maximum) Expected Information (MEI)

Standard error of EAP ability estimation under the 4PL model

Expected Posterior Variance (EPV)

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

Random generation of adaptive tests

Item bank generation

Observed information function (4PL)

Selection of the first items