@article {2070,
	title = {catR: An R Package for Computerized Adaptive Testing},
	journal = {Applied Psychological Measurement},
	year = {2011},
	abstract = {<p>Computerized adaptive testing (CAT) is an active current research field in psychometrics and educational measurement. However, there is very little software available to handle such adaptive tasks. The R package catR was developed to perform adaptive testing with as much flexibility as possible, in an attempt to provide a developmental and testing platform to the interested user. Several item-selection rules and ability estimators are implemented. The item bank can be provided by the user or randomly generated from parent distributions of item parameters. Three stopping rules are available. The output can be graphically displayed.</p>
},
	keywords = {computer program, computerized adaptive testing, Estimation, Item Response Theory},
	doi = {10.1177/0146621611407482},
	author = {Magis, D. and Ra{\^\i}che, G.}
}
@article {673,
	title = {a posteriori estimation in adaptive testing: Adaptive a priori, adaptive correction for bias, and adaptive integration interval},
	journal = {Journal of Applied Measurement},
	volume = {10(2)},
	year = {2009},
	author = {Ra{\^\i}che, G. and Blais, J-G.}
}
@inbook {1874,
	title = {Adaptive estimators of trait level in adaptive testing: Some proposals},
	year = {2007},
	note = {{PDF file, 125 KB}},
	address = {D. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.},
	author = {Ra{\^\i}che, G. and Blais, J. G. and Magis, D.}
}
@article {319,
	title = {SIMCAT 1.0: A SAS computer program for simulating computer adaptive testing},
	journal = {Applied Psychological Measurement},
	volume = {30},
	number = {1},
	year = {2006},
	pages = {60-61},
	publisher = {Sage Publications: US},
	abstract = {Monte Carlo methodologies are frequently applied to study the sampling distribution of the estimated proficiency level in adaptive testing. These methods eliminate real situational constraints. However, these Monte Carlo methodologies are not currently supported by the available software programs, and when these programs are available, their flexibility is limited. SIMCAT 1.0 is aimed at the simulation of adaptive testing sessions under different adaptive expected a posteriori (EAP) proficiency-level estimation methods (Blais \& Ra{\^\i}che, 2005; Ra{\^\i}che \& Blais, 2005) based on the one-parameter Rasch logistic model. These methods are all adaptive in the a priori proficiency-level estimation, the proficiency-level estimation bias correction, the integration interval, or a combination of these factors. The use of these adaptive EAP estimation methods diminishes considerably the shrinking, and therefore biasing, effect of the estimated a priori proficiency level encountered when this a priori is fixed at a constant value independently of the computed previous value of the proficiency level. SIMCAT 1.0 also computes empirical and estimated skewness and kurtosis coefficients, such as the standard error, of the estimated proficiency-level sampling distribution. In this way, the program allows one to compare empirical and estimated properties of the estimated proficiency-level sampling distribution under different variations of the EAP estimation method: standard error and bias, like the skewness and kurtosis coefficients. (PsycINFO Database Record (c) 2007 APA, all rights reserved)},
	keywords = {computer adaptive testing, computer program, estimated proficiency level, Monte Carlo methodologies, Rasch logistic model},
	isbn = {0146-6216 (Print)},
	author = {Ra{\^\i}che, G. and Blais, J-G.}
}
@inbook {1738,
	title = {Features of the estimated sampling distribution of the ability estimate in computerized adaptive testing according to two stopping rules},
	year = {2005},
	address = {D. G. Englehard (Eds.), Objective measurement: Theory into practice. Volume 6.},
	author = {Blais, J-G. and Ra{\^\i}che, G.}
}
@article {672,
	title = {{\'E}tude de la distribution d{\textquoteright}{\'e}chantillonnage de l{\textquoteright}estimateur du niveau d{\textquoteright}habilet{\'e} en testing adaptatif en fonction de deux r{\`e}gles d{\textquoteright}arr{\^e}t dans le contexte de l{\textquoteright}application du mod{\`e}le de Rasch [Study of the sampling distribution of the proficiecy estima},
	journal = {Mesure et {\'e}valuation en {\'e}ducation},
	volume = {24(2-3)},
	year = {2002},
	note = {(In French)},
	pages = {23-40},
	author = {Ra{\^\i}che, G. and Blais, J-G.}
}
@article {671,
	title = {La simulation d{\textquoteright}un test adaptatif bas{\'e} sur le mod{\`e}le de Rasch [Simulation of a Rasch-based adaptive test]},
	journal = {Mesure et {\'e}valuation en {\'e}ducation.},
	year = {2002},
	note = {(In French) {PDF file, 30 KB}},
	author = {Ra{\^\i}che, G.}
}
@inbook {1871,
	title = {Le testing adaptatif [Adaptive testing]},
	year = {2002},
	note = {(In French) {PDF file, 191 KB}},
	address = {D. R. Bertrand and J.G. Blais (Eds) : Les th{\'e}ories modernes de la mesure [Modern theories of measurement]. Sainte-Foy: Presses de l{\textquoteright}Universit{\'e} du Qu{\'e}bec.},
	author = {Ra{\^\i}che, G.}
}
@conference {1101,
	title = {Some features of the estimated sampling distribution of the ability estimate in computerized adaptive testing according to two stopping rules},
	booktitle = {Communication propos{\'e}e au 11e Biannual International objective measurement workshop. New-Orleans : International Objective Measurement Workshops.},
	year = {2002},
	author = {Ra{\^\i}che, G. and Blais, J. G.}
}
@conference {1098,
	title = {Pour une {\'e}valuation sur mesure des {\'e}tudiants : d{\'e}fis et enjeux du testing adaptatif},
	booktitle = {Commnication pr{\'e}sent{\'e}e {\`a} l{\textquoteright}int{\'e}rieur de la 23e session d{\textquoteright}{\'e}tudes de l{\textquoteright}Association pour le d{\'e}velopement de la mesure et de l{\textquoteright}{\'e}valuation en {\'e}ducation},
	year = {2001},
	note = {Qu{\'e}bec: ADM{\'E}{\'E}.},
	address = {ADM{\'E}{\'E}},
	author = {Ra{\^\i}che, G.}
}
@conference {1097,
	title = {Principes et enjeux du testing adaptatif : de la loi des petits nombres {\`a} la loi des grands nombres},
	booktitle = {Communication pr{\'e}sent{\'e}e {\`a} l{\textquoteright}int{\'e}rieur du 69e congr{\`e}s de l{\textquoteright}Association canadienne fran{\c c}aise pour l{\textquoteright}avancement de la science},
	year = {2001},
	note = {Sherbrooke: Acfas.},
	address = {Acfas},
	author = {Ra{\^\i}che, G.}
}
@booklet {1499,
	title = {La simulation de mod{\`e}le sur ordinateur en tant que m{\'e}thode de recherche : le cas concret de l{\textquoteright}{\'e}tude de la distribution d{\textquoteright}{\'e}chantillonnage de l{\textquoteright}estimateur du niveau d{\textquoteright}habilet{\'e} en testing adaptatif en fonction de deux r{\`e}gles d{\textquoteright}arr{\^e}t},
	year = {1994},
	address = {Actes du 6e colloque de l{\textquoteleft}Association pour la recherche au coll{\'e}gial. Montr{\'e}al : Association pour la recherche au coll{\'e}gial, ARC},
	author = {Ra{\^\i}che, G.}
}
@conference {1099,
	title = {L{\textquoteright}{\'e}valuation nationale individualis{\'e}e et assist{\'e}e par ordinateur [Large scale assessment: Tailored and computerized]},
	booktitle = {Qu{\'e}bec: Proceeding of the 14th Congress of the Association qu{\'e}b{\'e}coise de p{\'e}dagogie coll{\'e}giale. Montr{\'e}al: Association qu{\'e}b{\'e}coise de p{\'e}dagogie coll{\'e}giale (AQPC).},
	year = {1994},
	author = {Ra{\^\i}che, G. and B{\'e}land, A.}
}
@inbook {1870,
	title = {Utilisation de la simulation en tant que m{\'e}thodologie de recherche [Simulation methodology in research]},
	year = {1994},
	address = {Association pour la recherche au coll{\'e}gial (Ed.) : L{\textquoteright}en-qu{\^e}te de la cr{\'e}ativit{\'e} [In quest of creativity]. Proceeding of the 6th Congress of the ARC. Montr{\'e}al: Association pour la recherche au coll{\'e}gial (ARC).},
	author = {Ra{\^\i}che, G.}
}
