TY  - JOUR
PY  - 2016//
TI  - The optimized summed scored attributes method for the classification of U.S. Blacks and Whites: a validation study
JO  - Journal of forensic sciences
A1  - Kenyhercz, Michael W.
A1  - Klales, Alexandra R.
A1  - Rainwater, Christopher W.
A1  - Fredette, Sara M.
SP  - 174
EP  - 180
VL  - 62
IS  - 1
N2  - 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.<br><br>© 2016 American Academy of Forensic Sciences.<p />  <p>Language: en</p>
LA  - en
SN  - 0022-1198
UR  - http://dx.doi.org/10.1111/1556-4029.13243
ID  - ref1
ER  -