Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/113095
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Type: Journal article
Title: Use of units of measurement error in anthropometric comparisons
Author: Lucas, T.
Henneberg, M.
Citation: Anthropologischer Anzeiger: Bericht uber die biologisch-anthropologische Literatur, 2017; 74(3):183-192
Publisher: E. Schweizerbart'sche Verlagsbuchhandlung
Issue Date: 2017
ISSN: 0003-5548
2363-7099
Statement of
Responsibility: 
Teghan Lucas and Maciej Henneberg
Abstract: Anthropometrists attempt to minimise measurement errors, however, errors cannot be eliminated entirely. Currently, measurement errors are simply reported. Measurement errors should be included into analyses of anthropometric data. This study proposes a method which incorporates measurement errors into reported values, replacing metric units with 'units of technical error of measurement (TEM)' by applying these to forensics, industrial anthropometry and biological variation. The USA armed forces anthropometric survey (ANSUR) contains 132 anthropometric dimensions of 3982 individuals. Concepts of duplication and Euclidean distance calculations were applied to the forensic-style identification of individuals in this survey. The National Size and Shape Survey of Australia contains 65 anthropometric measurements of 1265 women. This sample was used to show how a woman's body measurements expressed in TEM could be 'matched' to standard clothing sizes. Euclidean distances show that two sets of repeated anthropometric measurements of the same person cannot be matched (> 0) on measurements expressed in millimetres but can in units of TEM (= 0). Only 81 women can fit into any standard clothing size when matched using centimetres, with units of TEM, 1944 women fit. The proposed method can be applied to all fields that use anthropometry. Units of TEM are considered a more reliable unit of measurement for comparisons.
Keywords: Anthropometric data; units of technical error of measurement (TEM); USA armed forces anthropometric survey (ANSUR); National Size and Shape Survey of Australia
Description: Published online 1 August 2017, published in print September 2017
Rights: © 2017 E. Schweizerbart’sche Verlagsbuchhandlung, 70176 Stuttgart, Germany
DOI: 10.1127/anthranz/2017/0628
Published version: http://dx.doi.org/10.1127/anthranz/2017/0628
Appears in Collections:Anatomical Sciences publications
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