Remedies for pseudoreplication
Publication Type: |
Journal Article |
Year of Publication: |
2004 |
Authors: |
R. Millar, M. Anderson |
Publication/Journal: |
Fisheries Research |
Keywords: |
generalized linear mixed models, geostatistics, maximum likelihood, mixed-effects, nonparametric manova, overdispersion, pseudoreplication, random effects, sequential population analysis, state-space models |
ISBN: |
01657836 |
Abstract:
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.