UNCERTAINTY AS A PREDICTOR OF SIMILARITY IN THE STUDY OF GENERALIZATION.
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The procedures developed to assess the perceptual and decisional processes associated with detection in multidimensional space all require specialized statistical skills and analysis programs. The present article describes a regression model, designed to assess dimensional interactions, that is both computationally simpler and more accessible than those procedures. The papervalidates the regression model by comparing the perceptual space associated with the detection of hue and form mapped by the regression model with that mapped by Kadlec and Townsend's (1992a, 1992b) macro- and microanalyses. The results of both analyses showed that hue strongly influences the perception of form but that form only weakly influences the perception of hue. The parallel results of the two analyses suggest that the regression model is a valid alternative to multidimensional signal detection theory analysis.
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The process of elaborating reactions of "choice on model" was studied in children in the fourth year of their life in conditions when the degree in similarity of a relevant figure with the model was diminishing from the first stage of learning to the third, while the degree of difference from the irrelevant figure model remained unchanged. Children easily learned to choose on model even if the relevant figure coincided with it only in one parameter and differed in two others. The elaboration of correct solution of the tasks was the most difficult when the relevant figure coincided with the model in size. Characteristics of the course of conditioning to colour and shape were practically identical, but higher than those for size. It is assumed that reaction of choice on model is based on reinforcement of the identity relation between the model and one of the figures to be chosen. If this relation is reinforced only in one of the three channels (colour, shape, size) of processing of information on different properties of the objects, then differentiations are formed.
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