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A note on interobserver error in multivariate analyses of populations
Author(s) -
Page John William
Publication year - 1976
Publication title -
american journal of physical anthropology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 119
eISSN - 1096-8644
pISSN - 0002-9483
DOI - 10.1002/ajpa.1330440315
Subject(s) - principal component analysis , univariate , multivariate statistics , statistics , multivariate analysis , crania , mathematics , sample (material) , pattern recognition (psychology) , computer science , artificial intelligence , medicine , chemistry , chromatography , anatomy
The effect of interobserver error on a principal components analysis of a small sample of human crania is examined. A comparison of individual specimen scores for components is made to find rotated principal components which identify interobserver error. The individual variables which load highly on such components are then tested for interobserver error univariately. Multivariate components which must identify interobserver error contain no high loadings for variables which demonstrate interobserver error in the univariate case. Principal component analysis, in defining new component variables, extracts such error in an easily identified way which makes comparison of samples measured by more than one anthropometrist more reliable.