Air Force Maintenance Technician Performance Measurement.

Abstract

The purpose of this study is to find or develop some method for evaluating and measuring the performance of aircraft maintenance technicians in the United States Air Force. This evaluation method is to be used in another research effort to develop a model or models for predicting or evaluating the effectiveness of maintenance technician performance. The performance appraisal method developed in this study is based on a review of the literature on the subject. A literature review has been necessary, as existing appraisal methods either are not applicable to statistical analysis, are highly inflated, or provide incomplete and non-current coverage of maintenance organizations. The performance appraisal method developed relies on subjective supervisor appraisals of maintenance technician quantity and quality of performance. An evaluation of the performance appraisal method has been conducted within the aircraft maintenance organization of one pilot training base. The random sample consists of 20% of the assigned technicians. Thirty-six supervisory groups of five or fewer technicians per group have been selected and found to represent the organization as a whole in terms of experience and relative manning. Quality of performance ratings have a mean value of 7.2 (median of 8.0) on a 10.0 scale, while quantity of performance ratings have a mean value of 6.6 (median of 7.0). The quality of performance data shows only marginal correlation with existing personnel inspection data. The performance ratings as a whole, however, display superior face validity and usefulness compared to existing personnel inspection data. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 28, 1979
Accession Number
ADA090635

Entities

People

  • Joel R. Hickman

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Personnel
  • Aircraft Maintenance
  • Correlation Analysis
  • Data Mining
  • Data Science
  • Databases
  • Flight Training
  • Information Science
  • Maintenance
  • Maintenance Personnel
  • Organizational Structure
  • Personnel Management
  • Regression Analysis
  • Statistical Analysis
  • Surveys
  • United States

Readers

  • Aerospace logistics and air mobility.
  • Instructional Design and Training Evaluation.
  • Regression Analysis.