Anthropometric Survey of U.S. Army Personnel: Methods and Summary Statistics 1988

Abstract

Results of the 1987-1988 anthropometric survey of Army personnel are presented in this report in the form of summary statistics, percentile data and frequency distribution. These anthropometric data are presented for a subset of personnel (1774 men and 2208 women) sampled to match the proportions of age categories and racial/ethnic groups found in the active duty Army of June 1988. Dimensions given in this report include 132 standard measurements made in the course of the survey, 60 derived dimensions calculated largely by adding and subtracting standard measurement data, and 48 head and face dimensions reported in traditional linear terms but collected by means of an automated headboard designed to obtain three-dimensional data. Measurement descriptions. Descriptions of the procedures and techniques used in this survey are also provided. These include explanations of the complex sampling plan, computer editing procedures, and strategies for minimizing observer error. Tabular material in appendices are designed to help users understand various practical applications of the dimensional data, and to identify comparable data obtained in previous anthropometric surveys.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA225094

Entities

People

  • Bruce Bradtmiller
  • Charles E. Clauser
  • Claire C. Gordon
  • John T. Mcconville
  • Thomas Churchill

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Electronic Warfare
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Anthropology
  • Army Personnel
  • Computer Programs
  • Computers
  • Databases
  • Ear
  • Employment
  • Ethnic Groups
  • Health Services
  • Measurement
  • Medical Personnel
  • Native Americans
  • Personnel Management
  • Skull
  • Standards
  • Three Dimensional

Fields of Study

  • Mathematics

Readers

  • Business Analytics
  • Organizational Psychology.
  • Regression Analysis.