2018
DOI: 10.26575/daj.v17i3.152
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Calculation of Smith’s Mean Measure of Divergence for Intergroup Comparisons Using Nonmetric Data

Abstract: The Mean Measure of Divergence (MMD) is a formula that converts a battery of trait frequencies into a numerical value such that the more dissimilar two samples are, the greater the value. This measure of phenetic distance was developed by the statistician Cedric A. B. Smith and has become popular among dental anthropologists and osteologists for estimating the dissimilarity among groups in order to help reconstruct populations’ movements and structure over time and space. The purpose of the present study is to… Show more

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Cited by 96 publications
(67 citation statements)
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“…The MMD statistic converts a battery of trait frequencies into a nonlinear distance value between group pairs; low values indicate similarity and high values imply dissimilarity (Harris & Sjøvold, ). The MMD was calculated according to the formula in Sjøvold (): MMD=1rtruetrue∑i=1r{}θ1iθ2i21n1i+0.51n2i+0.5 where r is the number of traits used, n 1 i and n 2 i are the numbers of individuals examined for the i th trait in the two groups being compared and Θ 1 i and Θ 2 i are the transformed frequencies of the i th trait in the two groups.…”
Section: Methodsmentioning
confidence: 99%
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“…The MMD statistic converts a battery of trait frequencies into a nonlinear distance value between group pairs; low values indicate similarity and high values imply dissimilarity (Harris & Sjøvold, ). The MMD was calculated according to the formula in Sjøvold (): MMD=1rtruetrue∑i=1r{}θ1iθ2i21n1i+0.51n2i+0.5 where r is the number of traits used, n 1 i and n 2 i are the numbers of individuals examined for the i th trait in the two groups being compared and Θ 1 i and Θ 2 i are the transformed frequencies of the i th trait in the two groups.…”
Section: Methodsmentioning
confidence: 99%
“…The transformed frequencies were calculated using the Freeman & Tukey () angular transformation to correct for small sample sizes and low (≤0.05) or high (≥0.95) trait frequencies: θ=12sin1()12kn+1+12sinprefix−1()12k+1n+1 where k is the count of positive observations for a trait in a sample of size n . MMD distances can be considered significant if they are more than twice their standard deviation (see Harris & Sjøvold, ; formula 12).…”
Section: Methodsmentioning
confidence: 99%
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“…We surveyed the frequency of appearance of 12 NMTs (Table ) within p3 teeth as illustrated by Suchentrunk (), Suchentrunk and Flux (), and Suchentrunk, Alkon, Willing, and Yom‐Tov (). We then evaluated the affinity of the three taxonomic groups based on the appearance frequency of NMTs using Smith's mean measure of divergence (MMD), adopting Harris and Sjøvold's () approach for calculation. Thus, a statistically significant result can be reported when the MMD is greater than two standard deviations (Sjøvold, ).…”
Section: Methodsmentioning
confidence: 99%