An Enlisted Performance Prediction Model for Hull Technicians

Abstract

The purpose of this study is to determine if the Navy's system of assigning personnel to the Hull Maintenance Technician rating can be enhanced. The technique used is a multivariate model with subjectively defined categories of 'success' and 'failure' as criterion variables. Biographical data 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, 1977 and 1978. The models were validated upon a random sample drawn from the 1976-1978 data base. Random sample data are not included in the model development. These models predict the future fleet performance of HT personnel as measured by length of service, pay grade achieved, and recommendation for reenlistment. Other results and recommendations regarding implementation and future research are also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA140217

Entities

People

  • G. Leverette

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Databases
  • Discriminant Analysis
  • Education
  • Enlisted Personnel
  • Fire Extinguishers
  • Frequency
  • Information Science
  • Management Personnel
  • Navy
  • Personnel Management
  • Recruiting
  • Recruits
  • Reenlistment
  • Standards
  • Training
  • United States
  • Validation

Readers

  • Instructional Design and Training Evaluation.
  • Naval Personnel Management
  • Statistical inference.