References of "Blais, Jean-Guy"
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See detailNon-graphical solutions to Cattell's scree test
Raîche, Gilles; Walls, Ted; Magis, David ULg et al

in Methodology: European Journal of Research Methods for the Behavioral and Social Sciences (2013), 9

Most of the strategies that have been proposed to determine the number of components that account for the most variation in a principal components analysis of a correlation matrix rely on the analysis of ... [more ▼]

Most of the strategies that have been proposed to determine the number of components that account for the most variation in a principal components analysis of a correlation matrix rely on the analysis of the eigenvalues and on numerical solutions. The Cattell’s scree test is a graphical strategy with a nonnumerical solution to determine the number of components to retain. Like Kaiser’s rule, this test is one of the most frequently used strategies for determining the number of components to retain. However, the graphical nature of the scree test does not definitively establish the number of components to retain. To circumvent this issue, some numerical solutions are proposed, one in the spirit of Cattell’s work and dealing with the scree part of the eigenvalues plot, and one focusing on the elbow part of this plot. A simulation study compares the efficiency of these solutions to those of other previously proposed methods. Extensions to factor analysis are possible and may be particularly useful with many low-dimensional components. [less ▲]

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See detailTaking atypical response patterns into account: a multidimensional measurement model from item response theory
Raîche, Gilles; Magis, David ULg; Blais, Jean-Guy et al

in Simon, Marielle; Ercikan, Kadriye; Rousseau, Michel (Eds.) Improving large scale assessment in education: Theory, issues, and practice (2012)

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See detailEvaluation des apprentissages et technologies de l'information et de la communication. Le futur est à notre porte.
Blais, Jean-Guy; Gilles, Jean-Luc ULg

Book published by Presses de l'Université Laval (2011)

Ce deuxième ouvrage sur l’utilisation des technologies de l’information de la communication pour l’évaluation des apprentissages a comme objectif d’une part de compléter le panorama des dévelopements ... [more ▼]

Ce deuxième ouvrage sur l’utilisation des technologies de l’information de la communication pour l’évaluation des apprentissages a comme objectif d’une part de compléter le panorama des dévelopements récents en la matière et, d’autre part, d’attirer l’attention sur les possibilités qu’offre le Web 2.0 pour l’évaluation des apprentissages. Encore une fois le tour d’horizon est vaste et permet aux lecteurs profanes et spécialisés d’y trouver leur compte. [less ▲]

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See detailAn international online survey of the practices and perceptions of higher education professors with respect to the assessment of learning in the classroom
Gilles, Jean-Luc ULg; Detroz, Pascal ULg; Blais, Jean-Guy

in Assessment & Evaluation in Higher Education (2011), 36(6), 719-733

In a context where public action must demonstrate its effectiveness and efficiency, and where the links between teaching and the quality of learning are regularly highlighted, it seems relevant to ... [more ▼]

In a context where public action must demonstrate its effectiveness and efficiency, and where the links between teaching and the quality of learning are regularly highlighted, it seems relevant to identify the trends and logic that govern university professors’ decisions with respect to the modes of learning assessment favoured within the framework of their delivery of teaching services. Moreover, given that university teaching practices are changing rapidly due to the introduction of different views of the learning process, one might conclude that the same holds for assessment practices. Through our research work, we led to the development of a trilingual (English, French and Spanish) online survey devoted to an international investigation into the classroom assessment practices of higher education teachers. This survey proposes an online platform that will allow institutions of higher learning to document some of their current practices and to compare observed trends with what is happening elsewhere, in accordance with differing missions and traditions. These research notes are thus intended to describe the survey itself and to show how the questionnaire and individual items were structured, in addition to providingan overview of treatments within and between institutions that followed the testing. [less ▲]

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See detailUne solution numérique au test de Cattell pour déterminer le nombre de composantes principales à retenir
Raîche, Gilles; Magis, David ULg; Walls, Theodore et al

in Raîche, Gilles; Paquette-Côté, Karine; Magis, David (Eds.) Des mécanismes pour assurer la validité de l’interprétation de la mesure en éducation. Tome 1 : la mesure. (2011)

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See detailConditions d'efficacité de la détection des patrons de réponses inappropriés lors de l'administration d'épreuves adaptatives
Raîche, Gilles; Magis, David ULg; Béland, Sébastien et al

in Blais, Jean-Guy; Gilles, Jean-Luc (Eds.) Evaluation des apprentissages et technologies de l'information et de la communication : Le futur est à notre porte (2011)

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See detailL’utilisation des simulations informatisées pour la recherche en éducation
Raîche, Gilles; Sodoké, Komi; Blais, Jean-Guy et al

in Potvin, Patrice; Vazquez-Abad, Jesus; Riopel, Martin (Eds.) Utilisation des technologies pour la recherche en éducation scientifique (2010)

Les méthodes de recherche en éducation se sont beaucoup développées au cours des dernières années. Pour les soutenir, des outils informatiques permettent d’automatiser diverses tâches répétitives et ... [more ▼]

Les méthodes de recherche en éducation se sont beaucoup développées au cours des dernières années. Pour les soutenir, des outils informatiques permettent d’automatiser diverses tâches répétitives et fastidieuses, ainsi que d’accélérer leur vitesse d’exécution. La capacité de réaliser la simulation, par méthodes stochastiques ou non stochastiques, de phénomènes impossibles à imaginer auparavant est une de ces tâches. Dans ce chapitre, nous définirons la notion de simulation en contexte de recherche, présenterons des principes et des méthodologies spécifiques de la mise en oeuvre d’une simulation, et nous illustrerons ces principes et méthodologies à partir de quelques exemples tirés de nos travaux de recherche. [less ▲]

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See detailMultidimensional fluctuation, pseudo-guessing and carelness IRT person parameters models
Raîche, Gilles; Magis, David ULg; Blais, Jean-Guy

Conference (2009, July)

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See detailUne solution numérique au test de Cattell pour déterminer le nombre de composantes principales à retenir
Raîche, Gilles; Magis, David ULg; Walls, Ted et al

Conference (2009, May)

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See detailLa détection des patrons de réponses problématiques dans le contexte des tests informatisés
Blais, Jean-Guy; Raîche, Gilles; Magis, David ULg

in Blais, Jean-Guy (Ed.) Evaluation des apprentissages et technologies de l’information et de la communication : Enjeux, applications et modèles de mesure (2009)

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See detailL’utilisation des simulations informatisées pour la recherche en éducation
Raîche, Gilles; Sodoké, Komi; Blais, Jean-Guy et al

Conference (2008, May)

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See detailEst-ce qu'il est possible d'obtenir le résultat véritable d'un élève même si celui-ci tente de tricher ?
Raîche, Gilles; Blais, Jean-Guy; Magis, David ULg

Conference (2007, October)

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See detailAdaptive estimators of proficiency in adaptive testing
Blais, Jean-Guy; Raîche, Gilles; Magis, David ULg

Conference (2007, June)

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See detailAdaptive estimators of trait level in adaptive testing: Some proposals
Raîche, Gilles; Blais, Jean-Guy; Magis, David ULg

in Weiss, David (Ed.) Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing (2007, June)

In a computerized adaptive test (CAT), we seek an acceptably accurate trait (θ) level estimate using an optimal number of items. Bayesian estimation methods like MAP and EAP are often used to compute that ... [more ▼]

In a computerized adaptive test (CAT), we seek an acceptably accurate trait (θ) level estimate using an optimal number of items. Bayesian estimation methods like MAP and EAP are often used to compute that estimate. Unfortunately, with such methods, decreasing the number of items generates bias whenever the true θ level differs significantly from the a priori estimate. Adaptive versions of the maximum a posteriori and expected a posteriori estimation methods are proposed to reduce this bias. These AMAP and AEAP methods adapt the a priori values used in the estimation function according to the previously computed θ estimate obtained from the previous administered item. The performance of AMAP and AEAP is evaluated in a CAT context. [less ▲]

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