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The Use of Multivariate Biometric Methods for the Analysis of Human Growth Data

  • W. H. Mueller
Chapter

Abstract

Multivariate analytic methods have been used to further research in Human Growth and Physical Anthropology (Howells, 1953; Schull and Neel, 1965 Solow, 1966; Palomino et al., 1979; Mueller and Reid, 1979; Moriyama and Malina, n.d.). Since the measurements used in growth research are often many, it is useful to have statistical methods aimed at reducing the essential information to a few key variables. In this paper I will discuss some applications to growth data of one multivariate method: principal components analysis. This method is allied to factor analysis, canonical correlation and discriminant function. It is now widely available due to its inclusion in packaged computer programs (e.g., Nie et al., 1975). This relatively new ease of use of this multivariate method may open its potential misuse when the assumptions of the method are not met or its limitations understood.

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Copyright information

© Springer Science+Business Media New York 1984

Authors and Affiliations

  • W. H. Mueller
    • 1
  1. 1.Health Science Center School of Public HealthUniversity of TexasHoustonUSA

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