4.5 Article

Remedies for pseudoreplication

Journal

FISHERIES RESEARCH
Volume 70, Issue 2-3, Pages 397-407

Publisher

ELSEVIER
DOI: 10.1016/j.fishres.2004.08.016

Keywords

generalized linear mixed models; geostatistics; maximum likelihood; mixed-effects; nonparametric MANOVA; overdispersion; pseudoreplication; random effects; sequential population analysis; state-space models

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Pseudoreplication is the failure of a statistical analysis to properly incorporate the true structure of randomness present in the data. It has been well documented and studied in the ecological literature but has received little attention in the fisheries literature. Avoiding pseudoreplication in analyses of fisheries data can be difficult due to the complexity of the statistical procedures required. However, recent developments in statistical methodology are decreasing the extent to which pseudoreplication has to be tolerated. Seven examples are given here, beginning with simple design-based remedies and progressing to more challenging examples including the model-based remedies of mixed-effects modelling, generalized linear mixed models, state-space models, and geostatistics. (C) 2004 Elsevier B.V. All rights reserved.

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