1984Unpublished venueRequires access

Projecting Attrition by Military Occupational Speciality

Alex G. Manganaris, Edward J. Schmitz

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Abstract

Abstract : This research analyses the attrition rates of various enlisted personnel groups within different Army job assignments. Three regression equations are developed in order to project the attrition rate of eight demographic groups to 76 Military Occupational Specialties (MOS). Education, sex, and Armed Forces Qualification Test Scores, along with MOS assignment are the independent variables. The rates generated by these equations show where important tradeoffs exist with respect to personnel allocation and the expected rate of attrition. Keywords: Manpower planning.

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What this paper is about

Abstract : This research analyses the attrition rates of various enlisted personnel groups within different Army job assignments. Three regression equations are developed in order to project the attrition rate of eight demographic groups to 76 Military Occupational Specialties (MOS). Education, sex, and Armed Forces Qualification Test Scores, along with MOS assignment are the independent variables. The rates generated by these equations show where important tradeoffs exist with respect to personnel allocation and the expected rate of attrition. Keywords: Manpower planning.

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Available abstract

Abstract : This research analyses the attrition rates of various enlisted personnel groups within different Army job assignments. Three regression equations are developed in order to project the attrition rate of eight demographic groups to 76 Military Occupational Specialties (MOS). Education, sex, and Armed Forces Qualification Test Scores, along with MOS assignment are the independent variables. The rates generated by these equations show where important tradeoffs exist with respect to personnel allocation and the expected rate of attrition. Keywords: Manpower planning.

Key concepts: Attrition, Military personnel, Test (biology), Regression analysis, Operations management, Order (exchange), Demographic economics, Engineering

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