Project Title

Observer Error Associated with Craniometric and Macromorphoscopic Trait Analyses

Presenters

Faculty Sponsor Name

Alice F. Gooding

Does not use human subjects.

Abstract (300 words maximum)

In forensic anthropology, an important component of skeletal analysis is the estimation of ancestral origin. Two methods are most commonly used: observation of gross macromorphoscopic traits and craniometric analysis. While both methods are commonly used in the field, there is little research testing the interobservor and intraobservor error rates associated with each. This study tests the interobservor and intraobserver error associated with one nonmetric method (MaMD) and one metric method (3Skull) using anatomical teaching crania of unknown ancestral origin. Two observers used Hefner’s (2017) macroscopic trait scoring method to collect 17 nonmetric trait data, and collected 28 craniometric measurements using a Microscribe G2x Digitizer from each cranium.

Project Type

Event

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Observer Error Associated with Craniometric and Macromorphoscopic Trait Analyses

In forensic anthropology, an important component of skeletal analysis is the estimation of ancestral origin. Two methods are most commonly used: observation of gross macromorphoscopic traits and craniometric analysis. While both methods are commonly used in the field, there is little research testing the interobservor and intraobservor error rates associated with each. This study tests the interobservor and intraobserver error associated with one nonmetric method (MaMD) and one metric method (3Skull) using anatomical teaching crania of unknown ancestral origin. Two observers used Hefner’s (2017) macroscopic trait scoring method to collect 17 nonmetric trait data, and collected 28 craniometric measurements using a Microscribe G2x Digitizer from each cranium.