Discrimination and reproduction of patterns: Feature measures and constraint redundancy as predictors

The statistical structure ofsamples ofpatterns [histoforms and polygons) was varied by manipulating constraint redundancy (Rc) at three levels. Both Rc and seven measures of pattern features were evaluated as predictors of reproduction errors and discrimination latency using multiple linearregression techniques. While it was possible to account for a significant proportion of performance variance from knowledge of Rc levels, feature measures accounted for more performance variance under all conditions of testing. The results were interpreted as support for the notion that patterns are processed in terms offeatures.

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