A univariate and multivariate examination of measurement error in anthropometry

Replicate anthropometric measurements on 20 male and 22 female Eskimos were examined using analysis of variance, product‐moment correlation coefficients, and canonical variates with Mahalanobis' D2 distances. Analysis of variance indicated that 12 of the 16 variables could be measured comparabl...

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Bibliographic Details
Published in:American journal of physical anthropology 1974-03, Vol.40 (2), p.197-203
Main Authors: Jamison, Paul L., Zegura, Stephen L.
Format: Article
Language:English
Subjects:
Adult
Alaska
Analysis of Variance
Anthropometry
Biometry
Cephalometry
Computers
Eskimos
Female
Humans
International biological program
Inuits
Male
Measurement error
Methods
Middle Aged
Multivariate statistics
Statistics as Topic
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Summary:Replicate anthropometric measurements on 20 male and 22 female Eskimos were examined using analysis of variance, product‐moment correlation coefficients, and canonical variates with Mahalanobis' D2 distances. Analysis of variance indicated that 12 of the 16 variables could be measured comparably by two investigators. Those variables with readily defined endpoints yielded the highest correlations between the results of two anthropometrists. The multivariate analysis demonstrated a high level of discrimination between two sets of data taken on the same group of subjects. This suggests that population comparisons using data from two or more investigators could be significantly affected by measurement error.
ISSN:0002-9483
1096-8644
DOI:10.1002/ajpa.1330400206