A Model That Uses Psychomotor Testing to Predict Naval Aviator Primary Flight Grades

Abstract

With the costs of pilot training escalating, it is becoming increasingly important to make as few mistakes as possible in the selection of potential aviators. In the early days of aviation the use of psychomotor testing played a big role in this selection process, but the physical complexities of the system caused its discontinuance. More recently, researchers at the Naval Aerospace Medical Research Laboratory, using micro-computers, have developed two new series of psychomotor tests. This thesis uses stepwise and multiple regression techniques to confirm the viability of using such a series of psychomotor tests to predict the flight grades of student aviators in primary flight school. The fitted regression model accounted for 77% of the variance in the primary flight grade data examined and appeared to be approximately 4.5 times better than the model currently used. Keywords: Missing values; Aviation selection; Pilot training; Flight grade prediction; Psychomotor. Theses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201217

Entities

People

  • Walter R. Decker Jr.

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Biomedical Research
  • Computer Programs
  • Computers
  • Data Science
  • Education
  • Flight Training
  • Information Science
  • Maximum Likelihood Estimation
  • Normal Distribution
  • Operations Research
  • Pilots
  • Regression Analysis
  • Social Sciences
  • Statistics
  • Students
  • United States

Readers

  • Aviation Safety Risk Assessment.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Regression Analysis.

Technology Areas

  • Space