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American journal of physical anthropology, 1983-04, Vol.60 (4), p.451-453
Ort / Verlag
New York: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
1983
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
Logarithmic bivariate regression slopes and logarithmic principal component coefficient ratios are two methods for estimating allometry coefficients corresponding to a in the classic power formula Y = BXa. Both techniques depend on high correlation between variables. Interpretation is logically limited to the variables included in analysis. Principal components analysis depends also on relatively uniform intercorrelations; given this, it serves satisfactorily as a method for summarizing many bivariate combinations. Unmodified major principal component coefficients cannot represent scaling to body weight; rather, they represent scaling to a composite size vector which usually is highly correlated with body size or weight but has an unspecified allometry. Thus, the concepts of proportionality and of isometry must be kept distinct.