Development and assessment of postcranial sex estimation methods for a Guatemalan population

Fowler, Gillian and Hughes, Cris (2018) Development and assessment of postcranial sex estimation methods for a Guatemalan population. Journal of Forensic Sciences, 63 (2). pp. 490-496. ISSN 0022-1198

31249 Fowler_et_al-2018-Journal_of_Forensic_Sciences.pdf
31249 JOFS 17-186 Final Published.pdf
[img] PDF
31249 Fowler_et_al-2018-Journal_of_Forensic_Sciences.pdf - Whole Document
Restricted to Repository staff only

31249 JOFS 17-186 Final Published.pdf - Whole Document

Item Type:Article
Item Status:Live Archive


This study tests whether postcranial sex estimation methods generated from Hispanic, and mainly Mexican samples, can be successfully applied to other increasingly common migrant populations from Central America. We use a sample of postcranial data from a modern (1980s) Guatemalan Maya sample (n = 219). Results indicate a decrease in classification accuracies for previously established univariate methods when applied to the Guatemalan study sample, specifically for males whose accuracies ranged from 30 to 84%. This bias toward inaccuracies for Guatemalan males is associated with the smaller skeletal sizes for the Guatemalan sample as compared to the samples used in the tested sex estimation methods. In contrast, the tested multivariate discriminant function classification yielded less sex bias and improved classification accuracies ranging from 82 to 89%. Our results highlight which of the tested univariate and multivariate methods reach acceptable levels for accuracy for sex estimation of cases where the region of origin may include Guatemala.

Additional Information:Presented at the 66th Annual Scientific Meeting of the American Academy of Forensic Sciences, February 17–22, 2014, in Seattle, WA
Keywords:Postcranial sex estimation
Subjects:F Physical Sciences > F400 Forensic and Archaeological Science
Divisions:College of Science > School of Life Sciences
Related URLs:
ID Code:31249
Deposited On:10 Apr 2018 10:58

Repository Staff Only: item control page