PofoliaShared via Pofolia

American Journal of Physical Anthropology· 2012

A revised method of sexing the human innominate using Phenice's nonmetric traits and statistical methods

Alexandra R. Klales, Stephen D. Ousley, Jennifer Vollner

Short summary

A revised method using Phenice's nonmetric traits and ordinal logistic regression achieved 94.5% cross-validated accuracy in sexing human innominate bones, with an 86.2% accuracy on an independent validation sample.

AI-generated from the title and abstract; the full text is not read.

Key points

  • A revised method using Phenice's three nonmetric traits (ventral arc, subpubic contour, medial ischio-pubic ramus) was developed for sex estimation from human innominate bones.
  • Ordinal logistic regression analysis of 310 adult innominates yielded a 94.5% cross-validated classification accuracy for experienced observers.
  • An independent validation sample showed an 86.2% classification accuracy.
  • The method demonstrated low intra- and interobserver error, with moderate to substantial agreement levels.

AI-generated from the title and abstract; the full text is not read.

Abstract

The traits of the pubis described by Phenice (Am J Phys Anthropol 30 (1969) 297-302) have been used extensively by physical anthropologist for sex estimation. This study investigates all three of Phenice's characteristics in an approach similar to Walker's (Am J Phys Anthropol 136 (2008) 39-50) study using observations from the cranium and mandible. The ventral arc, the subpubic contour, and the medial aspect of the ischio-pubic ramus were scored on a five-point ordinal scale from a sample of 310 adult, left innominates of known ancestry and sex from the Hamann-Todd Human Osteological Collection and the W.M. Bass Donated Skeletal Collection. Four observers with varying levels of experience blindly scored each trait using new descriptions and illustrations adapted from those originally created by Phenice. The scores were then analyzed with ordinal logistic regression. Using all three traits for sex classification, the mean correct classification rate was 94.5% cross-validated for experienced observers. Intra- and interobserver error in trait scoring was low for all three traits and agreement levels ranged from moderate to substantial. Tests of the method on an independent validation sample provided a classification accuracy of 86.2%. This revision of the Phenice (Am J Phys Anthropol 30 (1969) 297-302) technique is a reliable and valid method of sex estimation from the human innominate that meets the Daubert criteria for court admissibility.

The authors' abstract, as published at the source. American Journal of Physical Anthropology, 2012 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Archeology (Arts and Humanities)

ArcheologyArts and Humanities