routines, stopping rules and ability estimators. Control
methods for item exposure and content balancing are also

Author: David Magis (U Liege, Belgium), Gilles Raiche (UQAM,
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.

Packaged: 2012-03-16 09:29:44 UTC; David Magis

Packaged: 2012-05-09 09:27:16 UTC; David Magis

Author: David Magis (U Liege, Belgium), Gilles Raiche (UQAM, Canada), Juan Ramon Barrada (U Zaragoza, Spain)
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.

Title: Procedures to Generate Patterns under Computerized Adaptive
Description: Generation of response patterns under dichotomous and polytomous computerized adaptive testing (CAT) framework.

Title: Generation of IRT Response Patterns under Computerized Adaptive
Description: Provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Raiche, Random Generation of Response Patterns under Computerized Adaptive Testing with the R Package catR, Journal of Statistical Software, 48 (8), 2012, 1-31 <doi:10.18637/jss.v048.i08>).

Description: Provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Raiche (2012) <doi:10.18637/jss.v048.i08>).