An Enlisted Performance Prediction Model for Aviation Structural Mechanics.

Abstract

The purpose of this thesis is to determine if the Navy's system of assigning personnel to the Aviation Structural Mechanic (AM) rating can be improved. The technique used is a multivariate model wtih subjectively defined categories of 'success' and 'failure' as criterion variables. Biographical data currently available at the time of enlistment are used as predictor variables. Two independent models were created using available data on personnel entering the Navy in 1976 and 1977. The models were validated with data from 1978 entrants. These models predict the future fleet performance of AMs as measured by length of service, paygrade achieved, and recommendation for reenlistment. Other results and recommendations regarding implementation and future research are discussed. Significant cost avoidance can be realized if these models are implemented.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA136784

Entities

People

  • C. G. Deitchman
  • R. D. Whitmire

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Attrition
  • Databases
  • Discriminant Analysis
  • Enlisted Personnel
  • Management Personnel
  • Military Training
  • Personnel Management
  • Personnel Selection
  • Recruiting
  • Recruits
  • Regression Analysis
  • Statistical Analysis
  • Structural Mechanics
  • Students
  • Training
  • United States
  • United States Naval Academy

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management
  • Systems Analysis and Design