Document Detail


Things aren't as bad as they seem: a comment on Storms et al. (2003).
MedLine Citation:
PMID:  12803436     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
G. Storms, T. Dirikx, J. Saerens, S. Verstraeten, and P. P. De Deyn (2003) criticized the use of scaling techniques, in proposing "semantic storage deficits" in Alzheimer's disease and schizophrenic patients in some studies, arguing that most reported multidimensionalscaling (MDS) models for patients were not adequately fit and did not differ from models generated by random data. The studies cited by G. Storms et al. were reexamined and all available data relevant to their claim were compared. A more complete review revealed somewhat different conclusions; it showed that many of the MDS models seem to meet the criteria of adequate fit, and it does not seem to support the notion that patients' performance is close to random. Suggestions are made to improve the validity of scaling analysis in neuropsychological studies.
Authors:
Agnes S Chan; Yim-chi Ho
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Publication Detail:
Type:  Comment; Journal Article    
Journal Detail:
Title:  Neuropsychology     Volume:  17     ISSN:  0894-4105     ISO Abbreviation:  Neuropsychology     Publication Date:  2003 Apr 
Date Detail:
Created Date:  2003-06-13     Completed Date:  2003-07-14     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8904467     Medline TA:  Neuropsychology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  302-5; discussion 323-9     Citation Subset:  IM    
Affiliation:
Department of Psychology, The Chinese University of Hong Kong, Shatin, NT. aschan@psy.cuhk.edu.hk
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MeSH Terms
Descriptor/Qualifier:
Alzheimer Disease / psychology
Cluster Analysis*
Data Interpretation, Statistical*
Humans
Memory Disorders / psychology
Memory, Short-Term / physiology
Neuropsychological Tests / statistics & numerical data*
Semantics*
Comments/Corrections
Comment On:
Neuropsychology. 2003 Apr;17(2):289-301   [PMID:  12803435 ]

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


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