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catR (version 3.3)

Procedures to Generate Patterns under Computerized Adaptive Testing

Description

Generation of response patterns under computerized adaptive testing (CAT) framework, with the choice of several item response theory (IRT) models, starting rules, next item selection routines, stopping rules and ability estimators.

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Version

Install

install.packages('catR')

Monthly Downloads

1,020

Version

3.3

License

GPL (>= 2)

Maintainer

David Magis

Last Published

November 26th, 2014

Functions in catR (3.3)

genPattern

Random generation of item response patterns under dichotomous and polytomous IRT models
semTheta

Standard error of ability estimation (dichotomous and polytomous models)
genPolyMatrix

Random generation of polytomous IRT matrices of item parameters
MEI

(Maximum) Expected Information (MEI)
genDichoMatrix

Item bank generation (dichotomous models)
test.cbList

Testing the format of the list for content balancing under dichotomous or polytomous IRT models
tcals

Items parameters of the TCALS 1998 data set and subgroups of items
integrate.catR

Numerical integration by linear interpolation (for catR internal use)
thetaEst

Ability estimation (dichotomous and polytomous models)
OIi

Observed information function (dichotomous and polytomous models)
breakBank

Breaking the item bank in item parameters and group membership (for content balancing)
MWI

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

Expected Posterior Variance (EPV)
Ii

Item information functions, first and second derivatives (dichotomous and polytomous models)
eapEst

EAP ability estimation (dichotomous and polytomous IRT models)
Ji

Function $J(\theta)$ for weighted likelihood estimation (dichotomous and polytomous IRT models)
randomCAT

Random generation of adaptive tests (dichotomous and polytomous models)
simulateRespondents

Simulation of multiple examinees of adaptive tests
Pi

Item response probabilities, first, second and third derivatives (dichotomous and polytomous models)
startItems

Selection of the first items
KL

Kullback-Leibler (KL) and posterior Kullback-Leibler (KLP) values for item selection
testList

Testing the format of the input lists
eapSem

Standard error of EAP ability estimation (dichotomous and polytomous IRT models)
nextItem

Selection of the next item