Analysis of First-Term Attrition of Non-Prior Service High-Quality U.S. Army Male Recruits

Abstract

An analysis is performed to estimate an individual's probability of attrition in terms of certain of his characteristics at time of enlistment. The main technique is logistic regression modelling, which is applied to data pertaining to the high-quality male population of the U.S. Army FY84 NPS accession cohort(high-school graduates who scored 50% or higher on the Armed Forces Qualification Test (AFQT). The results showed four significant characteristics are: age, level of education, aptitude test score, and entry status (with or without a waiver). Age and entry status were positively correlated with the rate of attrition. Conversely, education and aptitude test score were negatively correlated. The older the recruit, the more likely the person is to drop out. The recruit also is in a higher risk category for attrition if he or she entered the Army with a waiver. The better educated the recruit is, the less likely the person will drop out.

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Document Details

Document Type
Technical Report
Publication Date
Dec 13, 1989
Accession Number
ADA216748

Entities

People

  • Hoa Generazio

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Age Groups
  • Attrition
  • Chi Square Test
  • Databases
  • Education
  • Enlisted Personnel
  • Losses
  • Maximum Likelihood Estimation
  • Operations Research
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Psychological Tests
  • Qualifications
  • Recruiting
  • Recruits
  • Training

Readers

  • Naval Personnel Management
  • Psychometric Testing or Psychological Assessment.