Accession Number : ADA136784

Title :   An Enlisted Performance Prediction Model for Aviation Structural Mechanics.

Descriptive Note : Master's thesis,


Personal Author(s) : Whitmire,R D ; Deitchman,C G

PDF Url : ADA136784

Report Date : Sep 1983

Pagination or Media Count : 98

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.

Descriptors :   *Naval personnel, *Aviation personnel, *Maintenance personnel, *Performance(Human), *Standards, Personnel selection, Enlisted personnel, Mechanics, Skills, Predictions, Models, Statistical analysis, Regression analysis, Discriminate analysis, Multivariate analysis, Military requirements, Recruits, Reenlistment, Theses

Subject Categories : Personnel Management and Labor Relations

Distribution Statement : APPROVED FOR PUBLIC RELEASE