De la typicité des différentes mesures de tendance centrale dans la représentation mentale des catégories implicites
What is the nature of the representations people form of the categories they learn? It is generally accepted that the type of learning task has an influence on the answer to that question. That being said, most of the categorization theories elaborated during the last decades have focused almost exclusively on classification-learning tasks. The master thesis presented here had four objectives. First, to verify if a classification-learning task leads to the integration of more diagnostic dimensions than an inference-learning task in the context of implicit categories. Second, to verify if an inference-learning task leads to the integration of more typical dimensions than a classification-learning task, once again in the context of implicit categories. Third, to evaluate if a prototype enhancement effect can be observed in an inference-learning task. Fourth, to clarify which central tendency measure really presents a prototype enhancement effect: the mode, the median or the mean. Given the results obtained, implications for three categorization theories are discussed. The three theories are prototype theory, exemplar theory and decision-bound theory.
Tendances centrales Categories Central tendencies Typicality Diagnosticity