Date of Award
Summer 8-2021
Degree Type
Masters Thesis
Degree Name
Master of Arts (MA)
School
Social Science and Global Studies
Committee Chair
Dr. Marie Elaine Danforth
Committee Chair School
Social Science and Global Studies
Committee Member 2
Dr. H. Edwin Jackson
Committee Member 2 School
Social Science and Global Studies
Committee Member 3
Dr. Bridget Hayden
Committee Member 3 School
Social Science and Global Studies
Abstract
The use of 3D scans is becoming more and more common in the field of bioarchaeology. They alleviate the need to travel, allow for larger sample sizes, and can help preserve bones with pathologies on them which make them more fragile. Though there are major benefits with using 3D scanning of human remains, there is a lack of studies which examine whether or not traditional pathology scoring methods can be used to consistently gather the same data from these 3D scans. This project examines how consistently six researchers of varying experience levels scored porotic hyperostosis from 25 3D scans on three separate days. Intraobserver and interobserver error tests were performed to determine if there were any patterns in the researchers’ scores. In addition, the data for each of the 25 scans were examined to determine if the quality of the scans influenced the consistency of the researchers’ scoring patterns. Though some patterns such as the most experienced researchers having lower levels of intraobserver error did emerge, all six researchers had low consistency scores. This may stem from the use of less severe pathologies in the scans, which made scoring more subtle, and/or the small nature of this study. Additional studies looking at the consistency of scoring pathologies on 3D scans of human remains need to be conducted in order to determine if researchers can consistently gather data from 3D scans.
Copyright
Rouse, 2021
Recommended Citation
Rouse, Carson, "Analyzing the Consistency of Scoring Porotic Hyperostosis From 3D Scans" (2021). Master's Theses. 832.
https://aquila.usm.edu/masters_theses/832