A univariate and multivariate examination of measurement error in anthropometry

Dados Bibliográficos

ID8313255
AutoresPaul L Jamison (University of Arizona), Stephen L Zegura (University of Arizona)
Ano1974
Volume40
Fascículo2
Páginas197-203
Data de publicação1974-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAmerican Journal of Physical Anthropology (JOURNAL)
Identificadores do periódicoISSN: 0002-9483 • E-ISSN: 1096-8644
EditoraWiley (PUBLISHER • GB)
DOI10.1002/ajpa.1330400206
PMID4815133
OpenAlexW2087874164
IdiomaEN
Citações recebidas35
Referências citadas7

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

Analysis of variance · Anthropometry · Correlation · Mahalanobis distance · Multivariate analysis · Multivariate analysis of variance · Multivariate statistics · Pearson product-moment correlation coefficient · Population · Replicate · Statistics · Univariate · Variance (accounting) · Body Composition Measurement Techniques · Internal Medicine · Mathematics · Medicine