Journal article

Further tests of sequence-sensitive models in a modified Garner task using separable dimensions

Deborah J Lin, Daniel R Little

Center for Open Science

Abstract

In the study of perceptual categorization, a key distinction is made between integral and separable dimensions. Integral dimensions are often highly unanalyzable, while separable dimensions are highly analyzable and easy to attend in isolation. Little, Wang, and Nosofsky (2016) showed that when trial-by-trial responses are analyzed, a consistent pattern of sequential effects was found in a modified Garner paradigm using integral-dimension stimuli. The present experiments investigate whether these pronounced sequential effects are also found with separable-dimension stimuli. Two experiments using different separable dimensions were conducted. The results indicate that similar patterns of seq..

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