Empirical Reduction in Potential User Population as the Result of Imposed Multivariate Anthropometric Limits.
Medical research progress rept. no.1,
NAVAL AEROSPACE MEDICAL RESEARCH LAB PENSACOLA FL
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Data describing thirteen, cockpit related, anthropometric features of 1547 naval aviator personnel were examined. Two analyses were performed on these data. In the first analysis individuals not included within the 5th percentile to 95th percentile critical limits on any of the 13 features cited above were eliminated. After all 13 eliminations had been completed, 814 52.6 of the original 1547 naval aviator personnel had been excluded. In the second analysis, the critical limits were established at the 3rd and 98th percentiles, and 499 32.2 of the personnel were excluded. Thus, where one might have expected only 10 per cent of the population to have been excluded, 52.6 per cent were excluded, and where only 5 per cent theoretically might have been excluded, 32.2 per cent were excluded. This seeming discrepancy may be attributed to the intercorrelations existing between the 13 variables. The importance of considering the relationship between anthropometric features in determining anthropometric compatibility is discussed. The preparation of bivariate data, which is not variable specific but which could be used when the correlation between anthropometric features is known, is proposed. Author
- Human Factors Engineering and Man Machine Systems