Related Experiment Videos
Assessing intrasample variation: analysis of Rapa Nui (Easter Island) museum cranial collections example
1Department of Anthropology, Lehman College, CUNY, Bronx, New York 10468, USA. vstefan@lehman.cuny.edu
American Journal of Physical Anthropology
|April 16, 2004
Summary
This study on Rapa Nui (Easter Island) crania found minimal variation among museum collections, demonstrating the effectiveness of statistical methods for analyzing pooled skeletal data.
Area of Science:
- Osteology
- Physical Anthropology
- Bioarchaeology
Background:
- Previous osteological studies often pooled Polynesian cranial samples, potentially obscuring intrasample variation.
- Few studies have assessed variation within pooled skeletal data from different islands or museum collections representing the same population.
Purpose of the Study:
- To examine Easter Island (Rapa Nui) crania from various museums to determine if significant differences exist among these collections.
- To evaluate the reliability of pooled skeletal data for representing a specific population.
Main Methods:
- Utilized the NORM statistical program for multiple imputation of incomplete multivariate datasets.
- Applied a variance comparison method using variance/covariance matrices to compare six Rapa Nui museum samples against a baseline reference sample.
- Assessed intrasample variability in male and female Rapa Nui skeletal material.
Main Results:
- The six Rapa Nui museum samples exhibited minimal intrasample variability when compared to the baseline reference sample (MAPSE).
- This consistency was observed despite samples being collected at different times and by different individuals.
- The study confirmed the efficacy of multiple imputation and variance comparison in handling missing data and identifying sample variation.
Conclusions:
- Pooled skeletal data from different Rapa Nui museum collections can reliably represent the population.
- Statistical methodologies like multiple imputation and variance comparison are effective for analyzing and validating pooled osteological data.
- The findings support the use of such methods in future studies of prehistoric populations.