Three and Four Mode Factor Analysis with Application to ASVAB Data.

Abstract

The traditional factor analytic view of the PARAFAC model and its extension to a four mode situation with the derivation of the maximum likelihood estimation procedure by the generalized EM algorithm was presented. The four mode model was applied to six data matrices defined by three specialty, (clerical, mechanical, and electrical), times two services, (Air Force and Marine Corps) and successfully recovered the usual four dimensional structure without any rotation. The specialty and service differences was expressed in terms of different weighting of the common factor structure. A model which allows us to compare the factor score means was also investigated. Keywords: Bayesian Factor Analysis; Four Mode Factor Analysis; ASVAB Factor Analysis.

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Document Details

Document Type
Technical Report
Publication Date
Dec 12, 1985
Accession Number
ADA169631

Entities

People

  • Shin-ichi Mayekawa

Organizations

  • University of Iowa

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Data Analysis
  • Data Science
  • Dispersions
  • Education
  • Factor Analysis
  • Information Science
  • Marine Corps
  • Maximum Likelihood Estimation
  • Military Personnel
  • Military Research
  • Personnel Management
  • Psychology
  • Standards
  • Training

Readers

  • Control Systems Engineering.
  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms