A test of the (hu)MANid analytical program using a native American population.

Objectives: Recently, Berg and Kenyhercz (2017) developed a free web-based software package, (hu)MANid, that classifies mandibles by ancestry and sex based on either linear or mixture discriminant analysis of 11 osteometric and six morphoscopic variables. The metric and morphoscopic variables assessed using (hu)MANid have been determined to be highly replicable, however, few external validation studies have been conducted.

Materials And Methods: This article provides a test of the (hu)MANid analytical software using an independent sample (n = 52) of Native American mandibles from the Great Lakes region to investigate the accuracy of the program for identifying this important demographic group.

Results: When processed using linear discriminant analysis in (hu)MANid, 82.7% of the mandibles (43/52) were correctly classified as Native American. When processed using mixture discriminant analysis in (hu)MANid, 67.3% of the mandibles (35/52) were correctly classified as Native American. The difference in accuracy between the methods is not statistically significant.

Discussion: Our results suggest (hu)MANid is an accurate tool for anthropologists attempting to determine whether skeletal remains are Native American when establishing forensic significance, creating a biological profile, and conducting work associated with the federal Native American Graves Protection and Repatriation Act.