Simultaneous Estimation of Regression Functions for Marine Corps Technical Training Specialties.

Abstract

This paper considers the application of Bayesian techniques for simultaneous estimation to the specification of regression weights for selection tests used in various technical training courses in the Marine Corps. Results of a method for m-group regression developed by Molenaar and Lewis (1979) suggest that common weights for training courses belonging to certain general categories are justified in many cases. However, such commonality of regression weights does not appear to hold for all courses in these categories--weights for some training courses remain distinct even after the application of the simultaneous estimation procedure. Thus, a hypothesis of validity generalization across training courses in a given category would only be retained for a carefully selected subset of courses and not for all groups included in the analyses. Keywords include: simultaneous estimation; m-group regression; personnel selection.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 1985
Accession Number
ADA150477

Entities

People

  • M. R. Novick
  • S. D. Dunbar
  • S. Mayekawa

Organizations

  • University of Iowa

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Behavioral Sciences
  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Education
  • Information Science
  • Marine Corps
  • Military Research
  • Military Training
  • Psychology
  • Regression Analysis
  • Standards
  • Statistical Inference
  • Students
  • Training
  • Warfare

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Instructional Design and Training Evaluation.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference