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Questionable multivariate statistical inference in wildlife habitat and community studiesAuthor(s): Eric A. Rexstad; Dirk D. Miller; Curtis H. Flather; Eric Anderson; Jerry W. Hupp; David R. Anderson
Source: The Journal of Wildlife Management. 52(4): 794-798.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionWe analyzed a data set constructed from functionally unrelated, easily collected observations (e.g., meat, stock, and liquor prices) around Fort Collins, Colorado, using principal components analysis (PCA), canonical correlation analysis (CC), and discriminant function analysis (DFA). Each produced seemingly significant results and suggested strong relationships between the variables measured. We suggest that multivariate techniques can provide invalid inferences when used with data containing no relationships. We question the use of these techniques in studies of wildlife habitat.
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CitationRexstad, Eric A.; Miller, Dirk D.; Flather, Curtis H.; Anderson, Eric M; Hupp, Jerry W.; Anderson, David R. 1988. Questionable multivariate statistical inference in wildlife habitat and community studies. The Journal of Wildlife Management. 52(4): 794-798.
Keywordswildlife habitat, data sets, principal components analysis (PCA), canonical correlation analysis (CC), discriminant function analysis (DFA), multivariate techniques
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