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A univariate and multivariate examination of measurement error in anthropometry

✍ Scribed by Paul L. Jamison; Stephen L. Zegura

Publisher
John Wiley and Sons
Year
1974
Tongue
English
Weight
543 KB
Volume
40
Category
Article
ISSN
0002-9483

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✦ Synopsis

Abstract

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' D^2^ 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.

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