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Allocation and discrimination based on human odontometric data.

J A Kieser1, H T Groeneveld

  • 1Department of Anatomy, Witwatersrand University, South Africa.

American Journal of Physical Anthropology
|July 1, 1989
PubMed
Summary
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Odontometric data can effectively discriminate between populations, but individual re-allocation confidence is low. Tooth measurements show high group separation but poor individual assignment accuracy.

Area of Science:

  • Forensic Anthropology
  • Biological Anthropology
  • Human Population Genetics

Background:

  • Odontometric data (tooth measurements) are utilized in anthropological studies for population analysis.
  • Previous research has explored the use of dental metrics for distinguishing between human groups.

Purpose of the Study:

  • To assess the confidence in grouping and re-allocating individuals based on odontometric data.
  • To evaluate the effectiveness of multivariate discriminant analysis in population separation versus individual classification.

Main Methods:

  • Mesiodistal and buccolingual tooth diameters were measured for three distinct populations: Lengua Indians, Caucasoid schoolchildren, and Negroes.
  • Multivariate techniques including canonical and stepwise discriminant analysis were employed for intergroup discrimination.

Related Experiment Videos

  • Posterior and typicality probabilities were used for allocation assessment, with bias reduction via jackknifing.

    • Main Results:

    • High levels of discriminatory confidence were observed, with significant Wilk's Lambda values (P < 0.01).
    • Correct classification percentages were substantial: Caucasoids (67.4-75.0%), Negroes (71.0-77.3%), and Amerindians (65.2-78.1%).
    • However, individual re-allocation probabilities exceeded 80% only for a small proportion of each group (Caucasoids: 21.7%, Negroes: 21.4%, Amerindians: 28.8%).

    Conclusions:

    • Multivariate discriminant analysis is effective for separating different human populations using odontometric data.
    • Despite high group discriminatory power, assigning individuals to their correct population group with high confidence is not reliably achieved.
    • The study highlights a discrepancy between population-level discrimination and individual-level classification accuracy in forensic anthropology.