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The Optimized Summed Scored Attributes Method for the Classification of U.S. Blacks and Whites: A Validation Study
Authors:Michael W Kenyhercz PhD  Alexandra R Klales PhD  Christopher W Rainwater MS  Sara M Fredette BS
Institution:1. Department of Anthropology, University of Tennessee, Knoxville, TN;2. Department of Sociology and Anthropology, Washburn University, Topeka, KS;3. Office of Chief Medical Examiner, New York City, NY;4. New York Consortium in Evolutionary Primatology, Department of Anthropology, Center for the Study of Human Origins, New York University, New York, NY;5. Department of Applied Forensic Sciences, Mercyhurst University, Erie, PA
Abstract:Recently, Hefner and Ousley (2014) introduced the optimized summed scored attributes (OSSA) method that maximizes between‐group differences in U.S. black and white populations by dichotomizing six cranial morphoscopic trait scores. This study tests OSSA using an independent skeletal sample (Hamann‐Todd, n = 208) and positively identified forensic cases (Mercyhurst University, n = 28, and New York City Office of Chief Medical Examiner, n = 38). An evaluation of trait frequencies suggests shifting the heuristically selected sectioning point separating U.S. black and white populations from ≤ 3 to ≤ 4. We found a total correct classification of 73.0% (B = 50.9%, W = 89.2%) using the originally suggested sectioning point of ≤3, while the total correct classification increases to 79.2% (B = 80.2%, W = 78.5%) with a modified sectioning point of ≤4. With the increased total correct classification and reduced classification bias between ancestry groups, we suggest the modified sectioning point of ≤4 be used when assessing ancestry in forensic unknowns.
Keywords:forensic science  forensic anthropology  validation study  biological profile  ancestry estimation  optimized summed scored attributes
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