Document Detail


Gender bias in the diagnosis of personality disorders: the roles of base rates and social stereotypes.
MedLine Citation:
PMID:  14632376     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In all three studies described in this article, novices were trained to associate traits from the DSM-IV Cluster B personality disorder categories with four letters of the alphabet. Novices were also taught various gender associations (i.e., "base rate" information) with the categories (none, stereotype-consistent, or stereotype-inconsistent). Results showed that when no gender associations were taught (Study I), case gender did not affect ratings of case vignettes. When associations were consistent with social stereotypes (Study II), case gender influenced ratings in the expected direction. When associations were the opposite of social stereotypes (Study III), only the ratings for narcissistic and histrionic were affected. Across the three studies, these results suggested that subjects rated cases in accordance with known "base rates," but that the correspondence between base rates and stereotypic associations affected the consistency and magnitude of this base rate effect.
Authors:
Elizabeth H Flanagan; Roger K Blashfield
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Journal of personality disorders     Volume:  17     ISSN:  0885-579X     ISO Abbreviation:  J. Pers. Disord.     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-11-24     Completed Date:  2004-03-11     Revised Date:  2009-01-28    
Medline Journal Info:
Nlm Unique ID:  8710838     Medline TA:  J Pers Disord     Country:  United States    
Other Details:
Languages:  eng     Pagination:  431-46     Citation Subset:  IM    
Affiliation:
Department of Psychology, Yale University, New Haven, CT 06520-8205, USA. elizabeth.flanagan@yale.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Analysis of Variance
Female
Humans
Learning
Male
Observer Variation
Personality Disorders / diagnosis*
Prejudice*
Sex Factors
Stereotyping*

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


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