A Microdata Model of Delayed Entry Program (DEP) Behavior

Abstract

The Manpower and Personnel Policy Research Group of the U.S. Army Research Institute examines personnel issues of particular importance to the Army. Personnel losses from the Delayed Entry Program (DEP) is one such issue. In this paper a model is developed to predict DEP loss. The model will provide an increased understanding of the DEP loss problem along with valuable information concerning identification of individuals most likely to become losses. Two DEP loss models are created: one including high school graduates and nongraduates and a separate model for high school seniors. Maximum likelihood logistic regression (logit) estimates are make from individual data for the first half of FY82 and FY83. Both individual characteristics and policy variables are used in the analysis. These include age, gender, race, AFQT score, education, contracted DEP length, training MOS, region of the country, and enlistment and incentive options. Scenarios are staged to measure the effect of different combinations of relevant variables.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1985
Accession Number
ADA172062

Entities

People

  • Chester E. Phillips
  • Edward J. Schmitz

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Administrative Personnel
  • Attrition
  • Business Administration
  • Education
  • Enlisted Personnel
  • Management Personnel
  • Manpower
  • Military Research
  • Motivation
  • Organizational Structure
  • Personnel Management
  • Personnel Selection
  • Probability
  • Recruiting
  • Social Sciences
  • Students
  • Training

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management