Show simple item record

dc.contributor.authorKing, Rebecca Elizabethen_US
dc.date.accessioned2016-01-08T19:27:51Z
dc.date.available2016-01-08T19:27:51Z
dc.date.issued2015
dc.identifier.urihttps://hdl.handle.net/2144/13951
dc.description.abstractIn ancestry estimation of South African individuals, non-metric morphological trait assessment has not proven useful and previous results in FORDISC 3.0 leave room for improvement. The accuracy rates of software programs FORDISC 3.1 and 3D-ID were compared for ancestry estimation based on cranial data of black and white South Africans using discriminant function analysis. Cranial landmarks were digitized using a Microscribe G2 for geometric morphometric analysis in 3D-ID, and traditional craniometric measurements for use in FORDISC were calculated using the data collection software 3Skull. Data was collected from a total of 385 individuals (186 black and 199 white crania) from the Pretoria Bone Collection. Overall accuracy rates of 75.6% using FORDISC 3.1 and 63.1% using 3D-ID were obtained for black and white South Africans. Incorrect estimates were more often due to misclassifications of sex rather than ancestry, reflecting the decreased amount of sexual dimorphism in South African populations when compared against American populations, discussed previously. Black South Africans were more often classified correctly in FORDISC 3.1, and white South Africans were more often classified correctly in 3D-ID. Low sample size in comparative databases and broad ancestral differences between South Africans and the proxy populations used (American, European, and African) likely explain the low accuracy rates. The use of FORDISC and 3D-ID in conjunction can help South African anthropologists in estimating ancestry and ensuring correct classifications.en_US
dc.language.isoen_US
dc.subjectForensic anthropologyen_US
dc.subject3D-IDen_US
dc.subjectAncestry estimationen_US
dc.subjectCraniometricsen_US
dc.subjectFORDISCen_US
dc.subjectGeometric morphometricsen_US
dc.subjectSouth Africaen_US
dc.titleEstimating ancestry in South Africa: a comparison of geometric morphometrics and traditional craniometricsen_US
dc.typeThesis/Dissertationen_US
dc.date.updated2015-11-03T17:11:06Z
etd.degree.nameMaster of Scienceen_US
etd.degree.levelmastersen_US
etd.degree.disciplineForensic Anthropologyen_US
etd.degree.grantorBoston Universityen_US


This item appears in the following Collection(s)

Show simple item record