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Ontogenetic and interspecific skeletal allometry in nonhuman primates

Bivariate versus multivariate analysis

Bibliographic Data

ID8316650
AuthorsWilliam L Jungers (0000-0002-8092-1429, State University of New York), Rebecca Z German (0000-0001-9989-7847, Harvard University)
Year1981
Volume55
Issue2
Pages195-202
Publication date1981-06-01
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.1330550206
OpenAlexW2135026159
LanguageEN
Citations received21
References cited17

The critical problem confronting all allometric studies is the choice of an appropriate size variable, especially when body mass or some other measure of total size is unavailable. A method proposed by Jolicoeur (1963a,b) claims to generate an internal size variable by a principal components analysis of the covariance matrix of logarithmically transformed data, from which allometric coefficients can be computed. Despite the current popularity of this method, the precise relationship and degree of compatibility between such multivariate coefficients and the exponent of the bivariate power function (Y = βX α ) is unknown. This study evaluates the comparability and interpretability of allometric values computed by Jolicoeur's procedure and by standard bivariate regressions (least squares and major axis). Two primate data sets with known measures of size were utilized for these purposes: (1) longitudinal growth data from radiographs of two species of capuchin monkeys, Cebus apella and Cebus albifrons; and (2) interspecific osteometric data from a series of adult lemurs, species of prosimians from Madagascar. Consistent differences exist between multivariate and bivariate allometric coefficients for both ontogenetic and static data sets. Multivariate analysis underestimated the coefficients in the former and overestimated them in the latter. The internal size variable generated by principal components analysis is clearly not equivalent to, and hence not a suitable substitute for, known measures of size. Moreover, multivariate coefficients are very sensitive to the composition of variables in a given data set; α values of a variable changed appreciably depending on the other variables included in the analysis. The multivariate coefficients are also sample‐specific, and provide misleading biological information when compared between samples (e.g., between species of capuchin monkey). For allometric investigations designed to evaluate scaling parameters relative to total size, alternative analytical solutions to the Jolicoeur method should be considered

Allometry · Biology · Bivariate analysis · Bivariate data · Interspecific competition · Multivariate analysis · Multivariate statistics · Principal component analysis · Statistics · Amphibian and Reptile Biology · Ecology · Mathematics · Primate Behavior and Ecology · Wildlife Ecology and Conservation

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    Open Access•Susan M Ford, Robert S Corruccini•Size and Scaling in Primate Biology•1985

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  • Multivariate Cranial Ontogenetic Allometries in Crab-eating, Rhesus and Japanese Macaques

    Open Access•Toshio Mouri•Anthropological Science•1996

  • Body Size and Skeletal Allometry in African Apes

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    Open Access•Thomas J Masterson, Walter Leutenegger•International Journal of…•1990

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    Open Access•James M Cheverud•American Journal of Physical…•1982

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    Open Access•Julius A Kieser, H T Groeneveld•American Journal of Physical…•1988

  • Shape, relative size, and size-adjustments in morphometrics

    Open Access•William L Jungers, A B Falsetti et al.•American Journal of Physical…•1995

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    Open Access•Roberts S Corruccini•American Journal of Physical…•1983

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    Open Access•William L Jungers•American Journal of Physical…•1984

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    Open Access•Sigrid Hartwig‐scherer, Robert D Martin•American Journal of Physical…•1992

  • New body mass estimates forOmomys carteri, a middle Eocene primate from North America

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  • Note

    Pierre Jolicoeur•Biometrics•1963

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    William L Jungers•Zeitschrift für Morphologie und…•1980

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    Open Access•Robert S Corruccini, Avery M Henderson•American Journal of Physical…•1978

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    Open Access•Robert S Corruccini, Henry M Mchenry•American Journal of Physical…•1978

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Citations per year0.48
Citation span1982 - 2021 (40)
Highly citedNo

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