A multiple linear regression model for predicting zone A retention by military occupational specialty.

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Author
Higham, Ronald P.
Date
1986-09Advisor
Gafford, Jack B.
Barr, Donald R.
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Show full item recordAbstract
The Selective Reenlistment Bonus (SRB) program is designed to offer an
attractive reenlistment incentive to improve manning in critical skills. To efficiently
manage the SRB program, a requirement exists to maintain MOS level estimating
factors for use in projecting retention rate improvement as a function of SRB award
level. This thesis formulates and solves a mathematical model which explains the
variation in zone A retention rates as a function of SRB award level and other factors
believed significant in the reenlistment decision.
To allow for comparison of the estimating factors associated with the SRB
variable across MOS, an overall projection model was developed. Stepwise multiple
linear regression analysis techniques were used on a subset of the enlisted MOS
inventory in the model development phase of this analysis. The proposed overall
model was then fitted to a second subset of MOS to validate the assumptions and
effectiveness of the proposed linear model.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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