Document Detail


A similarity-based range-frequency model for two-category rating data.
MedLine Citation:
PMID:  18567267     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Douglas H Wedell
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Psychonomic bulletin & review     Volume:  15     ISSN:  1069-9384     ISO Abbreviation:  Psychon Bull Rev     Publication Date:  2008 Jun 
Date Detail:
Created Date:  2008-06-23     Completed Date:  2008-10-03     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9502924     Medline TA:  Psychon Bull Rev     Country:  United States    
Other Details:
Languages:  eng     Pagination:  638-43     Citation Subset:  IM    
Affiliation:
Department of Psychology, University of South Carolina, Columbia, South Carolina 29208, USA. wedell@sc.edu
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MeSH Terms
Descriptor/Qualifier:
Humans
Models, Psychological*
Psychology / statistics & numerical data*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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