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| Research article summary (published 30 Aug 2005): |
Exploring the alcohol expectancy memory network: the utility of free associates.
Full Abstract
Alcohol expectancies are theorized to operate through associative memory networks. These networks are thought to differ on the basis of individual experience (direct and vicarious) with alcohol. Free-associate probabilities have been used in cognitive psychology as a metric of the associative strength of words to other words; this method has been used to establish the relationships within a semantic memory network. Participants from a large college sample were asked to free associate to the phrase "Alcohol makes me ______" They were also asked about their quantity of alcohol consumption. Results showed that specific responses were given with different probabilities by individuals who drank at different levels. The heaviest drinkers tended to have more positive and arousing responses than did lighter drinkers, who tended to have more negative and sedating responses. These results underscore the need to take into account relevant individual differences in behavior and experience when characterizing semantic networks. ((c) 2005 APA, all rights reserved).
Author information
Author/s: Reich, Richard R (RR); Goldman, Mark S (MS);
Affiliation: Department of Psychology, University of South Florida, Tampa, FL 33620, USA.
Grants: R01 AA 11925 (Agency:NIAAA NIH HHS) ; R37 AA 08333 (Agency:NIAAA NIH HHS)
Journal and publication information
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.
Journal: Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors (Psychol Addict Behav), published in United States. (Language: eng)
Reference: 2005-Sep; vol 19 (issue 3) : pp 317-25
Dates: Created 2005/09/28; Completed 2006/03/09; Revised 2007/11/14;
PMID: 16187812, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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