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Impact of Delayed Entry Program Participation on First Term Attrition

Alex G. Manganaris, Edward J. Schmitz

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Abstract

Abstract : This research analyzes the impact of Delayed Entry Program (DEP) participation on attrition in the first term. Using logistic regression, equations were estimated to determine the probability of attrition in 13 Army jobs. Independent variables used in this analysis were education, time in DEP, gender, race/ethnic background, and Armed Forces Qualification Test (AFQT) score. Results showed that in 9 to 13 equations the DEP had a significant impact on the probability of attrition. Results consistently showed that the longer individuals participate in the DEP the less likely they are to attrite in their first term. Findings also showed that sensitivity to DEP varies with MOS assignment. Keywords: MOS(Military Occupational Specialties), Army personnel, Personnel allocation, Personnel policy, Logit, Regression, Enlisted personnel.

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Abstract : This research analyzes the impact of Delayed Entry Program (DEP) participation on attrition in the first term. Using logistic regression, equations were estimated to determine the probability of attrition in 13 Army jobs. Independent variables used in this analysis were education, time in DEP, gender, race/ethnic background, and Armed Forces Qualification Test (AFQT) score. Results showed that in 9 to 13 equations the DEP had a significant impact on the probability of attrition. Results consistently showed that the longer individuals participate in the DEP the less likely they are to attrite in their first term. Findings also showed that sensitivity to DEP varies with MOS assignment. Keywords: MOS(Military Occupational Specialties), Army personnel, Personnel allocation, Personnel policy, Logit, Regression, Enlisted personnel.

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Available abstract

Abstract : This research analyzes the impact of Delayed Entry Program (DEP) participation on attrition in the first term. Using logistic regression, equations were estimated to determine the probability of attrition in 13 Army jobs. Independent variables used in this analysis were education, time in DEP, gender, race/ethnic background, and Armed Forces Qualification Test (AFQT) score. Results showed that in 9 to 13 equations the DEP had a significant impact on the probability of attrition. Results consistently showed that the longer individuals participate in the DEP the less likely they are to attrite in their first term. Findings also showed that sensitivity to DEP varies with MOS assignment. Keywords: MOS(Military Occupational Specialties), Army personnel, Personnel allocation, Personnel policy, Logit, Regression, Enlisted personnel.

Key concepts: Attrition, Term (time), Computer science, Medicine, Physics, Dentistry, Quantum mechanics

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