Next-Generation Armed Services Vocational Aptitude Battery (ASVAB)

Abstract

The United States Air Force (USAF) uses the Armed Services Vocational Aptitude Battery (ASVAB) to select recruits and classify them into Air Force Specialties (AFSs). However, a variety of new assessments have been developed and proposed, and assessment time at Military Entrance Processing Stations (MEPS) is limited. As a result, the purpose of this project was to examine the impact of changes to the USAF Mechanical, Administrative, General, and Electronics (MAGE) ASVAB composites to make the best use of testing time. This report describes a series of analyses to evaluate the projected impact of removing technical knowledge subtests from the Mechanical and Electronics composites, and adding subtests to the Administrative and General composites. Impact was primarily investigated in terms of predictive validity and subgroup differences. We found that for the Mechanical and Electronics composites, it was possible to choose alternatives that would likely decrease subgroup differences while not substantially reducing predictive validity. For the Administrative and General composites, differences between existing operational composites and alternatives were also found, but were less pronounced. In sum, this project presents potential alternative MAGE composites that could be implemented depending on the talent management objectives and priorities of the USAF.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2020
Accession Number
AD1116875

Entities

People

  • Adam S. Beatty
  • Amanda J. Koch
  • D. M. Trippe
  • Maura I. Burke

Organizations

  • Human Resources Research Organization
  • Infoscitex Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Personnel
  • Air Force Research Laboratories
  • Aircraft Maintenance
  • Business Administration
  • Databases
  • Demographic Cohorts
  • Department Of Defense
  • Descriptive Analytics
  • Governments
  • Health Services
  • Human Resources
  • Information Science
  • Language
  • Management Personnel
  • Medical Personnel
  • Military Research
  • Minority Groups
  • Motor Skills
  • Natural Language Processing
  • Natural Languages
  • Personnel Management
  • Predictive Modeling
  • Social Sciences
  • Standards
  • Statistics
  • Test And Evaluation
  • Tilt Rotor Aircraft
  • United States
  • Warfare

Readers

  • Naval Personnel Management
  • Occupational Health and Safety.
  • Psychometric Testing or Psychological Assessment.

Technology Areas

  • Microelectronics