Trainee Performance Measurement Development Using Multivariate Measure Selection Techniques

Abstract

A study was conducted to extend a descriptive structure for measuring human performance during training to a fixed-wing, high-performance aircraft simulation, and to develop measure selection statistical techniques. The effort required (1) definition of candidate performance measures for the simulated flight task, (2) development of computer programs to acquire raw data dnd produce candidate measures for 18, one-hour training sessions with four participants, and (3) most especially, to develop methods to reduce the resulting candidate measures to a small and efficient set which reflects the skills change that occurs as a function of training. It was desired that the resultant measurement have the capability of discriminating between different levels of proficiency and predicting later performance based on measures of current performance. Two measure selection methods which were developed and the results of applying them are discussed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1974
Accession Number
AD0787594

Entities

People

  • Donald Vreuls
  • Ira Goldstein
  • Richard W. Obermayer

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Computational Science
  • Computer Programs
  • Computers
  • Data Mining
  • Data Science
  • Databases
  • Discriminant Analysis
  • Experimental Design
  • Flight Training
  • Human-Machine Systems
  • Information Processing
  • Information Science
  • Simulations
  • Statistical Algorithms
  • Trainees
  • Training Devices

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design