The Prediction of Attrition From Military Service

Abstract

This paper provides a comparison of four statistical model for predicting first-year attrition from the Navy. The models compared are the individual linear probability model, the grouped linear probability models, the individual logit probability model and the grouped logit probability model. For different qualifying scores, the models are compared in terms of their ability to discriminate between attriters and non-attriters. Their ability to predict the actual attrition rates within future entry cohorts is also compared. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA063762

Entities

People

  • John T. Warner

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Attrition
  • Cell Size
  • Classification
  • Coefficients
  • Computer Programs
  • Computers
  • Data Science
  • Education
  • Enlisted Personnel
  • Equations
  • Estimators
  • Information Science
  • Maximum Likelihood Estimation
  • Probability
  • Probability Distributions
  • Surveys

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management