Faculty Forecast and Planning Model for the Naval Postgraduate School.

Abstract

This thesis develops a model for the Naval Postgraduate School (NPS) to forecast future tenure-track faculty size and distribution. It enables decision makers to analyze the effects of tenure and retirement policies as well as determine recruitment levels to achieve and maintain a desired number of faculty members. The model estimates faculty retention characteristics, or continuation rates based upon the length of federal service (LFS) associated with historic loss data. These continuation rates are applied to a cross- sectional faculty profile to predict faculty legacies, i.e. the number of faculty who will continue service at NPS. Results show that faculty levels can be predicted with relative certainty out to a two year horizon. Additionally, the results show how salary increases in the early 1990's induced a delay in faculty retirements. We also present an embellishment to the model which incorporates age at loss as well as LFS to forecast only retirements. The forecasts from this model are not as conclusive as those obtained from the original.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA330983

Entities

People

  • Brian K. Shipman

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Database Management Systems
  • Delphi Method
  • Demographic Cohorts
  • Employment
  • Equations
  • Graphical User Interface
  • Manpower
  • Observation
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Schools
  • Spreadsheet Software
  • Steady State
  • United States
  • User Interface

Fields of Study

  • Education

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management
  • STEM Education