Expanding the Training Evaluation Criterion Space: Cross Aircraft Convergence and Lessons Learned from Evaluation of the Air Force Mission Ready Technician Program

Abstract

This study reports the analyses of data collected from an evaluation effort for 2 Mission Ready Technician "MRT" training programs for C-141 transport and F-16 fighter aircraft crew chiefs. We obtained ratings from over 100 trainees in each program, as well as from their trainers and supervisors, both during training and in the field via survey. The goal of this research was to explore the criterion space set up for this evaluation. Whereas past evaluation research has explored task difficulty, frequency, and importance, this research explores an expanded criterion space, including task confidence, task performance, task difficulty, and task frequency. Descriptive statistics, predictive regressions, and exploratory factor analyses are reported. We conclude that the data show a similar factor structure for both aircraft and that MRT frequency of task performance and confidence ratings are highly predictive of field performance. A major implication is that one way to optimize the effectiveness of training is to emphasize the development of trainee confidence at a relatively micro level, such as the task level.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA488944

Entities

People

  • Erik R. Eddy
  • George M. Alligert
  • Scott I Tannenbaum
  • Winston Bennett Jr.

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Convergence
  • Descriptive Analytics
  • Factor Analysis
  • Fighter Aircraft
  • Frequency
  • Information Operations
  • Information Science
  • Lessons Learned
  • Military Psychology
  • Military Research
  • Task Performance And Analysis
  • Technicians
  • Test And Evaluation
  • Training

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Occupational Health and Safety.

Technology Areas

  • Space