Document Detail


Heterogeneity of compulsive buyers based on impulsivity and compulsivity dimensions: A latent profile analytic approach.
MedLine Citation:
PMID:  23083915     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Despite the recognition that compulsive buyers are not one homogenous group, there is a dearth of theory-guided empirical investigation. Furthermore, although compulsivity and impulsivity are used as major psychiatric criteria for diagnosing compulsive buyers, these dimensions have rarely been considered in assessing the heterogeneity issue. We fill this gap by applying the motivation shift model of addiction to compulsive buying and empirically assessing the heterogeneity issue in the bi-dimensional space represented by the buying impulsivity and compulsivity dimensions. These hypotheses were tested with latent profile analysis based on survey data (N=445). Consistent with the hypothesis, we identified the cluster of buyers with high buying compulsivity and impulsivity ("compulsive-impulsive buyers"), the cluster of buyers with low buying compulsivity and high impulsivity ("impulsive excessive buyers"), and the cluster of ordinary buyers. Furthermore, it was found that disparate clusters of buyers exhibit unique dispositional tendencies. Theoretical contributions and policy implications of the findings are discussed as well.
Authors:
Sunghwan Yi
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-18
Journal Detail:
Title:  Psychiatry research     Volume:  -     ISSN:  1872-7123     ISO Abbreviation:  Psychiatry Res     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7911385     Medline TA:  Psychiatry Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Department of Marketing & Consumer Studies, University of Guelph, Guelph, Ontario, Canada. Electronic address: syi@uoguelph.ca.
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