Differential Validity of a Differential Aptitude Test

Abstract

Two studies were conducted to examine the role of general and specific ability in predicting performance in military technical training. The first was a principal components analysis of the Armed Services Vocational Aptitude Battery (ASVAB); the second was a series of regression analyses using principal component scores derived from test scores as predictors and final school grades from Air Force technical training as the criterion. In the first study, 10 principal components were derived using a nation-wide representative sample of American youth. Weights derived from this analysis were used to compute principal component scores for over 78,000 subjects in Air Force technical training in 89 jobs. The first principal component was a general ability factor (g). Some specific ability components were also interpreted. The subjects for the second study were approximately 78,000 airmen who had taken parallel forms of the ASVAB and completed technical training. Using Final School Grade as the criterion, multiple regressions were computed to determine if g was a potent predictor for all jobs and if predictive accuracy would increase if other principal components, measures of specific abilities, were added to the prediction. The regressions were computed from both uncorrected and corrected correlation matrices to properly estimate the R2 values.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA222190

Entities

People

  • James A. Earles
  • Malcolm James Ree

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Electronic Warfare
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Computer Programming
  • Educational Psychology
  • Equations
  • Factor Analysis
  • Governments
  • Human Resources
  • Information Science
  • New York
  • Procurement
  • Psychological Tests
  • Psychology
  • Regression Analysis
  • Standards
  • Statistics
  • Students

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Naval Personnel Management