Document Detail


What sample sizes for reliability and validity studies in neurology?
MedLine Citation:
PMID:  22729386     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Rating scales are increasingly used in neurologic research and trials. A key question relating to their use across the range of neurologic diseases, both common and rare, is what sample sizes provide meaningful estimates of reliability and validity. Here, we address two questions: (1) to what extent does sample size influence the stability of reliability and validity estimates; and (2) to what extent does sample size influence the inferences made from reliability and validity testing? We examined data from two studies. In Study 1, we retrospectively reduced the total sample randomly and nonrandomly by decrements of approximately 50 % to generate sub-samples from n = 713-20. In Study 2, we prospectively generated sub-samples from n = 20-320, by entry time into study. In all samples we estimated reliability (internal consistency, item total correlations, test-retest) and validity (within scale correlations, convergent and discriminant construct validity). Reliability estimates were stable in magnitude and interpretation in all sub-samples of both studies. Validity estimates were stable in samples of n ≥ 80, for 75 % of scales in samples of n = 40, and for 50 % of scales in samples of n = 20. In this study, sample sizes of a minimum of 20 for reliability and 80 for validity provided estimates highly representative of the main study samples. These findings should be considered provisional and more work is needed to determine if these estimates are generalisable, consistent, and useful.
Authors:
Jeremy C Hobart; Stefan J Cano; Thomas T Warner; Alan J Thompson
Related Documents :
21854916 - Automatic recording of daily walkover liveweight of dairy cattle at pasture in the firs...
20001286 - Tolerance and sensitization to the effects of cocaine use in humans: a retrospective st...
11103926 - A bayesian approach to economic analyses of clinical trials: the case of stenting versu...
22807106 - Spatial cluster detection for ordinal outcome data.
22487036 - Decision value computation in dlpfc and vmpfc adjusts to the available decision time.
18832356 - A simple formula for obtaining markedly improved mutation rate estimates.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-24
Journal Detail:
Title:  Journal of neurology     Volume:  -     ISSN:  1432-1459     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0423161     Medline TA:  J Neurol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Clinical Neurology Research Group, Peninsula College of Medicine and Dentistry, Tamar Science Park, Room N13 ITTC Building, Davy Road, Plymouth, UK, jeremy.hobart@pcmd.ac.uk.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

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


Previous Document:  Hypertrophic olivary degeneration on magnetic resonance imaging in mitochondrial syndromes associate...
Next Document:  Prevalence, timing, risk factors, and mechanisms of anterior cerebral artery infarctions following s...