Award Date
1-1-2004
Degree Type
Thesis
Degree Name
Master of Arts (MA)
Department
Anthropology and Ethnic Studies
First Committee Member
Jennifer L. Thompson
Second Committee Member
Bernardo T. Arriaza
Number of Pages
136
Abstract
Non-metric traits are commonly used by anthropologists to distinguish between groups for such things as age, sex, and even ancestry. However, many non-metric traits cannot be measured with traditional osteological tools. While these traditional methods are useful, they do not take individual variation into account. This thesis uses geometric morphometric coordinate data to 'metricize' such traits and to evaluate their accuracy of correctly assigning unknown individuals to statistically defined groups; A 3-D digitizer was used to collect data from 39 craniofacial landmarks to capture the form of several phenotypic facial characteristics. The sample consisted of individuals from four different geographic locations (Precontact Peru, Historical China, Ancient Nubia, and Modern India). Principal Components Analysis confirmed that geographic groupings could be identified, while Procrustes Analysis and Thin-Plate Splines were used to assess the nature of form variation within and between groups. Discriminant functions calculated the probability of accurately assigning new individuals to their correct geographic group. The results indicate that phenotypic patterns, while variable, can be distinguished in certain populations and used successfully to predict group membership.
Keywords
Analysis; Ancestral; Application; Craniofacial; Dimensional; Geometric; Identification; Metric; Metricizing; Morphometric Three; Traits
Controlled Subject
Physical anthropology; Morphology
File Format
File Size
2856.96 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to digitalscholarship@unlv.edu and include clear identification of the work, preferably with URL.
Repository Citation
Decker, Summer Joy, "Metricizing' non-metric craniofacial traits: Application of three dimensional geometric morphometric analysis to ancestral identification" (2004). UNLV Retrospective Theses & Dissertations. 1643.
http://dx.doi.org/10.25669/mcfw-t3f5
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/