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catR (version 3.7)

Procedures to Generate Patterns under Computerized Adaptive Testing

Description

Generation of response patterns under dichotomous and polytomous computerized adaptive testing (CAT) framework.

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Version

Install

install.packages('catR')

Monthly Downloads

1,020

Version

3.7

License

GPL (>= 2)

Maintainer

David Magis

Last Published

May 9th, 2016

Functions in catR (3.7)

thetaEst

Ability estimation (dichotomous and polytomous models)
tcals

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

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

Selection of the next item
KL

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

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

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

Item bank generation (dichotomous models)
genPattern

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

Item response probabilities, first, second and third derivatives (dichotomous and polytomous models)
integrate.catR

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

Global-discrimination index (GDI) and posterior global-discrimination index (GDIP) for item selection
startItems

Selection of the first items
Ii

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

Item bank generation (polytomous models)
EPV

Expected Posterior Variance (EPV)
eapEst

EAP ability estimation (dichotomous and polytomous IRT models)
OIi

Observed information function (dichotomous and polytomous models)
simulateRespondents

Simulation of multiple examinees of adaptive tests
MEI

(Maximum) Expected Information (MEI)
MWI

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

Standard error of EAP ability estimation (dichotomous and polytomous IRT models)
test.cbList

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

Testing the format of the input lists
breakBank

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