Statistical power of non-parametric tests: A quick guide for designing sampling strategies

Mumby, Peter J. (2002) Statistical power of non-parametric tests: A quick guide for designing sampling strategies. Marine Pollution Bulletin, 44 1: 85-87. doi:10.1016/S0025-326X(01)00097-2


Author Mumby, Peter J.
Title Statistical power of non-parametric tests: A quick guide for designing sampling strategies
Journal name Marine Pollution Bulletin   Check publisher's open access policy
ISSN 0025-326X
Publication date 2002-01
Sub-type Article (original research)
DOI 10.1016/S0025-326X(01)00097-2
Volume 44
Issue 1
Start page 85
End page 87
Total pages 3
Place of publication Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract The importance of considering statistical power in marine pollution studies is unequivocal. However, the vast majority of ecological literature on power analysis focuses on parametric rather than non-parametric tests. This note describes a Monte Carlo simulation method for estimating the power of non-parametric tests. The method is illustrated using ordinal data.
Keyword Monte Carlo simulation
Sampling design
Effect size
Sample size
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
 
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Created: Tue, 23 Nov 2010, 14:35:29 EST