Statistical power of non-parametric tests: a quick guide for designing sampling strategies |
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Authors: | Mumby Peter J |
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Affiliation: | Department of Marine Sciences and Coastal Management, Tropical Coastal Management Studies, University of Newcastle, Newcastle upon Tyne, UK. p.j.mumby@ncl.ac.uk |
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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. |
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Keywords: | Monte Carlo simulation Sampling design Effect size Sample size |
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