Document Detail

Comparison of two computational formulas for a WAIS-R seven subtest short form.
MedLine Citation:
PMID:  9257225     Owner:  NLM     Status:  MEDLINE    
Several validity studies for a seven subtest WAIS-R short form have been conducted with patients from different populations as participants. All of these studies demonstrated high correlations between the short form IQ estimates and the actual VIQs, PIQs, and FSIQs (i.e., .90 to .98). In general, there also were small mean differences in the short form versus actual IQs across samples. There currently are two computational formulas for the seven subtest short form. The original weighted formula and a revised proration formula. This study investigated the accuracy of the two short form computational formulas in samples of patients with brain impairment. It was found that the two formulas produced nearly identical results from both statistical and clinical perspectives. Given that the formulas produce nearly identical results and the majority of published studies with this short form have used the weighted formula, we recommend that future investigators use the original weighted formula to maintain clinical and scientific consistency.
G L Iverson; B Myers; R L Adams
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of clinical psychology     Volume:  53     ISSN:  0021-9762     ISO Abbreviation:  J Clin Psychol     Publication Date:  1997 Aug 
Date Detail:
Created Date:  1997-09-11     Completed Date:  1997-09-11     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0217132     Medline TA:  J Clin Psychol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  465-70     Citation Subset:  IM    
Department of Psychiatry, University of British Columbia, Vancouver, Canada.
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MeSH Terms
Dementia / diagnosis,  psychology*
Head Injuries, Closed / diagnosis,  psychology*
Intelligence / classification
Middle Aged
Reproducibility of Results
Wechsler Scales / statistics & numerical data*

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