%0 Journal Article %J Journal of Applied Measurement %D 2010 %T Features of the sampling distribution of the ability estimate in computerized adaptive testing according to two stopping rules %A Blais, J. G. %A Raiche, G. %X Whether paper and pencil or computerized adaptive, tests are usually described by a set of rules managing how they are administered: which item will be first, which should follow any given item, when to administer the last one. This article focus on the latter and looks at the effect of two stopping rules on the estimated sampling distribution of the ability estimate in a CAT: the number of items administered and the a priori determined size of the standard error of the ability estimate. %B Journal of Applied Measurement %7 2010/12/18 %V 11 %P 424-31 %@ 1529-7713 (Print)1529-7713 (Linking) %G eng %M 21164229 %0 Journal Article %J Journal of Applied Measurement %D 2009 %T Considerations about expected a posteriori estimation in adaptive testing: adaptive a priori, adaptive correction for bias, and adaptive integration interval %A Raiche, G. %A Blais, J. G. %K *Bias (Epidemiology) %K *Computers %K Data Interpretation, Statistical %K Models, Statistical %X In a computerized adaptive test, we would like to obtain an acceptable precision of the proficiency level estimate using an optimal number of items. Unfortunately, decreasing the number of items is accompanied by a certain degree of bias when the true proficiency level differs significantly from the a priori estimate. The authors suggest that it is possible to reduced the bias, and even the standard error of the estimate, by applying to each provisional estimation one or a combination of the following strategies: adaptive correction for bias proposed by Bock and Mislevy (1982), adaptive a priori estimate, and adaptive integration interval. %B Journal of Applied Measurement %7 2009/07/01 %V 10 %P 138-56 %@ 1529-7713 (Print)1529-7713 (Linking) %G eng %M 19564695 %0 Book Section %D 2007 %T Adaptive estimators of trait level in adaptive testing: Some proposals %A Raîche, G. %A Blais, J. G. %A Magis, D. %C D. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing. %G eng %0 Conference Paper %B Presented at the 69th Congress of the Acfas. Sherbrooke: Association canadienne française pour l’avancement des sciences (Acfas). [In French] %D 2002 %T Historique et concepts propres au testing adaptatif [Adaptive testing: Historical accounts and concepts] %A Blais, J. G. %B Presented at the 69th Congress of the Acfas. Sherbrooke: Association canadienne française pour l’avancement des sciences (Acfas). [In French] %0 Conference Paper %B Paper presented at the annual meeting of the International Objective Measurement Workshops-XI %D 2002 %T Practical considerations about expected a posteriori estimation in adaptive testing: Adaptive a prior, adaptive corrections for bias, adaptive integration interval %A Raiche, G. %A Blais, J. G. %B Paper presented at the annual meeting of the International Objective Measurement Workshops-XI %C New Orleans, LA %G eng %0 Conference Paper %B Communication proposée au 11e Biannual International objective measurement workshop. New-Orleans : International Objective Measurement Workshops. %D 2002 %T Some features of the estimated sampling distribution of the ability estimate in computerized adaptive testing according to two stopping rules %A Raîche, G. %A Blais, J. G. %B Communication proposée au 11e Biannual International objective measurement workshop. New-Orleans : International Objective Measurement Workshops. %G eng