The 82nd Annual Meeting of the American Association of Physical Anthropologists (2013)


Does Height Matter? Evaluating the Need for Height Specific Stature Estimation Equations

XANDRA D. LAUCH.

Sociology and Anthropology, North Carolina State University

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Stature estimation is an integral part of skeletal analysis. A common approach is to use the mathematical method, which uses an equation developed from long bone lengths such as those established by Trotter and Gleser (1952). Using one equation for the entirety of a population can overestimate individual height at the extremes of the stature spectrum. Duyar and Pelin (2003) developed three equations from measurements of the tibia for a Turkish sample, with separate equations for short, average and tall. They concluded that more accurate stature estimates were possible for their test sample using this method. The present study uses femur and tibia measurements of 126 European American males between the ages of 20 and 78 to test the method developed by Duyar and Pelin (2003). A comparison of R2 values of the regression analysis shows that dividing up the sample into different height groups does not improve accuracy of the equation developed from the regression. Examination of the standard errors of these equations confirms these results. R2 values for the entire sample range between .35 and .60, the tall group between .58 and .63, and the average group between .52 and .63. The short group had the least fit line and R2 values between .02 and .06. It is possible that with a larger sample more accurate equations could be developed. Overall, the results of this study indicate that there does not seem to be a need to develop height specific equations for stature estimation for European American males.

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