Random generation of response patterns under computerized adaptive testing with the R package catR

Magis, David; Raîche, Gilles

doi:10.18637/jss.v048.i08

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Article (Scientific journals)

Random generation of response patterns under computerized adaptive testing with the R package catR

Magis, David; Raîche, Gilles

2012 • In Journal of Statistical Software, 48, p. 1-31

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https://hdl.handle.net/2268/108235

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10.18637/jss.v048.i08

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Keywords :

Computerized adaptive testing; Item selection; Ability estimation; R package

Abstract :

[en] This paper outlines a computerized adaptive testing (CAT) framework and presents an R package for the simulation of response patterns under CAT procedures. This package, called catR, requires a bank of items, previously calibrated according to the four-parameter logistic (4PL) model or any simpler logistic model. The package proposes several methods to select the early test items, several methods for next item selection, di erent estimators of ability (maximum likelihood, Bayes modal, expected a posteriori, weighted likelihood), and three stopping rules (based on the test length, the precision of ability estimates or the classi cation of the examinee). After a short description of the di erent steps of a CAT process, the commands and options of the catR package are presented and practically illustrated.

Disciplines :

Mathematics

Author, co-author :

Magis, David ; Université de Liège - ULiège > Département de mathématique > Statistique mathématique

Raîche, Gilles

Language :

English

Title :

Random generation of response patterns under computerized adaptive testing with the R package catR

Alternative titles :

[fr] Génération aléatoire de patrons de réponses en testing adaptatif informatisé avec la librairie catR

Publication date :

2012

Journal title :

Journal of Statistical Software

ISSN :

1548-7660

Publisher :

University of California at Los Angeles, United States - California

Volume :

Pages :

1-31

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 16 January 2012

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