The Navy Survey on Reenlistment and Quality of Service: Using Choice-Based Conjoint to Quantify Relative Preferences for Pay and Nonpay Aspects of Naval Service

Abstract

The primary tasking for this project was to develop a choice-based conjoint (CBC) model of Sailors preferences for reenlistment incentives and quality-of-service factors to learn more about how compensation-based reenlistment incentives compare with non-compensation factors in influencing reenlistment decisions. In response to this tasking, we designed the Navy Survey on Reenlistment and Quality of Service (NSRQOS), and sent it to approximately 9,000 first-term Sailors. The survey results indicate that, even with several measures of pay included in the survey, non-pay factors play a substantial role in guiding Sailors' reenlistment intentions. The secondary tasking was to demonstrate how CBC survey data and models can be used to analyze personnel issues. Based on a review of the relevant literature, we concluded that CBC surveys are most appropriate for short-term applications in which the decisions of interest are made on the basis of competitive differences between a few well-known attributes. Therefore, the best Navy personnel applications of the CBC methodology would be analyses of proposed policies that entail well defined tradeoffs between a few characteristics. Furthermore, use of CBC results should focus on the relative effects of different characteristics; results should not focus on absolute changes in predicted reenlistment rates or program participation rates.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA418921

Entities

People

  • Amanda B. Kraus
  • Bryan K. Orme
  • Diana S. Lien

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Business Administration
  • Cost Effectiveness
  • Data Sets
  • Databases
  • Electronic Mail
  • Enlisted Personnel
  • Information Processing
  • Information Science
  • Management Personnel
  • Naval Operations
  • Personnel Management
  • Quality Of Life
  • Reenlistment
  • Statistical Analysis
  • Surveys
  • Three Dimensional
  • Two Dimensional

Readers

  • Distributed Systems and Data Platform Development
  • Naval Personnel Management