Reenlistee/Non-Reenlistee Profiles and Prediction of Reenlistment Potential.

Abstract

A total of 3,062 enlisted personnel were administered an attitude and opinion survey after 33 to 45 months of service. When the career decisions of the population sample were obtained, distributional analyses of the biographical, aptitudinal, and attitudinal variables were obtained to develop profiles of individuals with varying reenlistment outcomes. The survey response data were used to investigate the feasibility of developing a reenlistment potential index derived from the noncognitive and cognitive variables which could be used to predict an individual's career decision. The multiple correlation of the composite developed from these data was .55; upon cross-application, the multiple R was .51. Using the reenlistment potential equation, 81% of the sample population at time of enlistment could have been correctly identified as to their ultimate reenlistment status. Although 56% of the reenlistees would have been incorrectly identified as non-reenlistees, only 6% of those who actually left service would have been incorrectly identified as reenlistees. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA043198

Entities

People

  • Bart M. Vitola
  • George Berberich
  • Nancy Guinn

Organizations

  • Brooks Air Force Base

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Air Force Facilities
  • Air Force Personnel
  • Computational Science
  • Computer Programming
  • Employment
  • Enlisted Personnel
  • Human Resources
  • Management Personnel
  • Military Organizations
  • Naval Personnel
  • Personnel Management
  • Recruiting
  • Regression Analysis
  • Surveys
  • Training

Readers

  • Psychometric Testing or Psychological Assessment.