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Analysis of data consistency identifies measurement abnormality in Howells' craniometric test data set

Bibliographic Data

ID24314438
AuthorsJinyong Pang (USF Genomics & College of Public Health University of South Florida Tampa Florida USA), Yibo Dong (0000-0002-5264-1382, USF Genomics & College of Public Health University of South Florida Tampa Florida USA), Christopher Turner (0000-0002-8091-1108, Department of Anthropology, College of Arts and Sciences University of South Florida Tampa Florida USA), Chang Li (0000-0002-7161-7206, USF Genomics & College of Public Health University of South Florida Tampa Florida USA), Xiaoming Liu (0000-0001-7904-1056, USF Genomics & College of Public Health University of South Florida Tampa Florida USA)
Year2022
Volume179
Issue4
Pages687-692
Publication date2022-12-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Biological Anthropology (JOURNAL)
Journal identifiersISSN: 2692-7691 • E-ISSN: 2692-7691
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.24631
OpenAlexW4302304759
LanguageEN
Citations received1
References cited13

Howells' craniometric data set is the largest publicly available craniometric data set on the internet and has been widely used in craniometric methods development. The data consists of a main data set of 2524 human crania from 28 populations and an additional “test” data set of 524 crania. Up to 82 measurements were recorded from those crania. We studied the data consistency between the main and test data sets for potential combined usage of the two. We found that the two data sets can be separated clearly via Uniform Manifold Approximation and Projection, suggesting some data inconsistency between the two. To further investigate the cause, we split the two data sets into six continental groups (African, Austro‐Melanesian, East Asian, European, Native American, and Polynesian) and tested the distribution difference between the two data sets for each of the groups. We found that the measures of simotic chord (WNB) and simotic subtense (SIS) are significantly and abnormally larger in the test data set than in the main data set. After removing the two measures, the two data sets are broadly comparable. We further showed the evidence that missing decimal points likely caused the abnormality.

craniometry · data comparison · Data consistency · measurement error · UMAP · Forensic Anthropology and Bioarchaeology Studies · Morphological variations and asymmetry · Statistical Methods and Applications

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    Open Access•J Ryan-Despraz, A Wissler•Archaeological and Anthropological…•2024

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    Open Access•William W Howells•Journal of Human Evolution•1977

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    Open Access•W W Howells•American Journal of Physical…•1996

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    Open Access•J H Relethford, Henry C Harpending et al.•American Journal of Physical…•1994

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    Open Access•J H Relethford•American Journal of Physical…•2002

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo
Open DOI
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