A similarity-based range-frequency model for two-category rating data.

A similarity-based range-frequency model for two-category rating data. Research Abstract Details 

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A similarity-based range-frequency model for two-category rating data. Abstract Text:

This research examines whether an extension of range-frequency theory (Parducci, 1965) could successfully predict context effects on discrimination between stimuli for two-category rating data. The new model proposes that similarity comparisons between stimulus values and rating category prototypes take place on an implicit range-frequency scale, and thus it entails effects of context on both mean ratings and discrimination indices. Predictions of the similarity-based range-frequency model were tested in an experiment in which the frequency distribution was manipulated by varying the range and relative frequencies of squares, with participants rating square sizes on a two-category scale. The model provided a parsimonious account of how discriminability of common stimuli increases with a decrease in stimulus range or an increase in the density of stimuli within a subrange.

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A similarity-based range-frequency model for two-category rating data. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Psychonomic bulletin & review

VOLUME: 15

Page Numbers: 638-43

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ISSN: 1069-9384

DAY: 23

MONTH: Jun

YEAR: 2008

A similarity-based range-frequency model for two-category rating data. Information

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LANGUAGE: eng

NlmUniqueID: 9502924

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Country: United States

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MEDLINETA: Psychon Bull Rev

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