Abstract
Abstract We summarized the uses of cluster analysis, discriminant function analysis (DFA), multivariate analysis of variance (MANOVA), and principal components analysis (PCA) in Transactions of the American Fisheries Society (TAFS) and North American Journal of Fisheries Management (NAJFM) from 1981–2001. The use of all multivariate methods, except cluster analysis, increased in TAFS over the last 21 years, whereas it did not for NAJFM. Two common goals of multivariate methods were to ordinate or group habitat variables and to relate fish population characteristics with habitat. No paper fully reported the statistical test or addressed all associated assumptions. Researchers conducting diet analysis studies or relating fish to habitat characteristics should consider using PCA or MANOVA, whereas scientists conducting morphological experiments should consider DFA. Cluster analysis was widely accepted in genetic studies of allele or loci frequencies. Statistical assumptions need to be addressed when the obje...
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