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.