Paul De Boeck

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Two experiments are reported in which four dependent variables; typicality ratings, response times, category-naming frequencies, and exemplar-generation frequencies of natural language concepts, were predicted by two sorts of prototype predictors and by an exemplar predictor related to Heit and Barsalou’s (1996) instantiation principle. In the first(More)
Gray (1987) proposed two systems that underlie much of our behaviour and personality. One system relates to avoidance or withdrawal behaviour, called the Behavioural Inhibition System (BIS), whereas the other system relates to approach behaviour, called the Behavioural Approach System (BAS). In two samples, it was investigated whether individual differences(More)
In this chapter we illustrate the use of item response models to analyze data resulting from the measurement of competencies. These item response models deal with data from an instrument such as a test, an inventory, an attitude scale, or a questionnaire – we will call this “test data”. The main purpose of using item response models is the measurement of(More)
The development of factor models is inextricably tied to the history of intelligence research. One of the most commonly-cited scholars in the field is John Carroll, whose three-stratum theory of cognitive ability has been one of the most influential models of cognitive ability in the past 20 years. Nonetheless, there is disagreement about how Carroll(More)
A hierarchical IRT model is proposed for mastery classification in criterionreferenced measurement. In this model, items measuring the same criterion are grouped, and a difficulty and discrimination parameter of the criterion is estimated on the same scale as the person and item parameters. The level of proficiency of a student with respect to the criterion(More)
due date is July 2, 2001. Additional Information A detailed program brochure and registration form will be available for distribution approximately six months prior to the course date. Contact the Mayo School of Continuing Medical Education by phone (800-323-2688/507-284-2509), FAX (507-284-0532), or e-mail (cme@mayo.edu) to be placed on a mailing list to(More)