Non-Cognitive Characteristics as a Basis for Guidance into the Navy Para-Medical Specialties,

Abstract

Background history and Personality questionnaries were adminstred to 93 effective Hospital Corpsmen and 52 personnel serving effectively in Navy deck and Mechanical specialties. Sixty-two items discriminated significantly between the personnel in these two occupational groups. These items were combined into a single non-cognitive measure which was keyed to identify the hospital corpsmen. By using regression analysis, it was found that this non-cognitive measure nearly doubled the accuracy of predicting group membership over what could be achieved with cognitive (aptitude) measures alone. As a methodological matter, these results provided support for the hypothesis that using objective, non-cognitive measures as a supplement to current classification procedures will bring about a significant reduction in the high rates of poor performance and psychiatric illness among Navy para-medical personnel. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1973
Accession Number
ADA037321

Entities

People

  • Anne L. Hoiberg
  • Richard F. Booth

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Biomedical Research
  • Classification
  • Enlisted Personnel
  • Guidance
  • Hospitals
  • Machine Learning
  • Medical Personnel
  • Medical Specialties
  • New York
  • Personality
  • Power Tools
  • Regression Analysis
  • Specialists
  • United States

Fields of Study

  • Medicine

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Naval Personnel Management
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.