Comparing Regression Equations Across Training Programs: An Empirical Study of Prior Selection Effects and Alternative Prediction Composites.

Abstract

This study examines the possible magnitudes of incidental selection effects on prediction equations for performance in twenty-seven technical training programs in the Marine Corps. Selection composites for Forms 8, 9, and 10 of the Armed Forces Vocational Aptitude Battery (ASVAB) are shown to yield widely varying predictions of final grades in training when the usual least-squares regression equations are examined. These predictions are considerably more homogeneous and consistent with course content when a procedure for simultaneous estimation of regression coefficients is used and when regression coefficients are adjusted for incidental selection. Implications of these findings for the development of alternative prediction composites are discussed and illustrated by examining alternatives to the present ASVAB composite for selecting trainees in clerical programs. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 07, 1986
Accession Number
ADA169616

Entities

People

  • Stephen B. Dunbar

Organizations

  • University of Iowa

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Artillery
  • Classification
  • Coast Guard
  • Cognitive Science
  • Composite Materials
  • Computer Programs
  • Databases
  • Education
  • Educational Psychology
  • Marine Corps
  • Military Personnel
  • Military Research
  • Personnel Management
  • Psychology
  • Statistics
  • Training

Readers

  • Naval Personnel Management
  • Statistical inference.
  • Theoretical Analysis.