Selective Reenlistment Bonus (SRB) Study.

Abstract

The SRB Study determined the historical effect that SRBs have had on reenlistment rates through a multiple stepwise regression analysis of data from Jan 76 through Jun 81. Data analyzed for each MOS/zone consisted of reenlistment rates, migration rates, SRB multipliers assigned, unemployment rates, military/civilian pay ratio and the Consumer Price Index. The SRB regression coefficient resulting from the analysis represented th enet change in a reenlistment rate for an MOS/zone brought about by a change in the SRB multiplier. The SRB regression coefficients were applied to current reenlistment rates, adjusted for migration, to estimate the reenlistment rates that could be achieved at each multiplier level. these estimated reenlistment rates by multiplier for each MOS/zone were used in the SRB allocation methodology developed. Selection criteria to determine which MOS/zones were most critical to receive an SRB were identified, data ranges and value weights were assigned to each critierion, and an importance factor was developed for each criterion. Criticality weights for each MOS/zone were then computer using a weighting technique. These criticality weights were also used in the SRB allocation methodology developed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1982
Accession Number
ADA118719

Entities

People

  • Harlan J. Lenius
  • Joel Levy
  • Joseph P. Seletsky
  • Ola C. Berry

Organizations

  • Center for Army Analysis

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Administrative Personnel
  • Army Personnel
  • Business Administration
  • Databases
  • Employment
  • Enlisted Personnel
  • Information Science
  • Linear Programming
  • Management Personnel
  • Mathematical Programming
  • Military Personnel
  • Organizational Structure
  • Personnel Management
  • Recruiting
  • Regression Analysis
  • Statistical Analysis
  • Surveys

Readers

  • Naval Personnel Management
  • Regression Analysis.