TWO NEW APPROACHES TO FACTOR ANALYSIS

Abstract

Mental ability tests, personality schedules and ratings, and attitude questionnaires were studied in a new approach to the problem of factor analysis called radex (a radical expansion of complexity). Two distinct notions are involved: a difference in kind between tests of the same degree of complexity (circumplex) and a difference in degree between tests of the same kind (simplex). The hypothesis of linearity with its attendant monotonicity and single-valuedness is rejected in favor of polytonicity and multivaluedness. Indefinitely many common-factors are assumed to operate in a test battery; these give rise (under certain circumstances) to orderly arrangements among test intercorrelations without any specific theory as to the nature of common-factors and without any calculations aimed at locating them. Two new computing techniques were devised: quantiles and latent vectors. The latter resulted in the derivation of new techniques for computing with large-order matrices. Radex theory provides a new picture of the functional nature of the interrelationships among different abilities and traits; the method is believed to be capable of better predictions with less tests than former techniques. The procedure which is used to test whether a given set of data forms a simplex is illustrated by an example, and lists of approximate simplexes and circumplexes are included. Considerations are discussed on results relative to a study of multivalued and polytone attitudinal interrelations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1953
Accession Number
AD0016708

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Age Groups
  • Applied Mathematics
  • Arithmetic
  • Coefficients
  • Elements
  • Equations
  • Errors
  • Factor Analysis
  • New York
  • Numbers
  • Personality
  • Psychology
  • Reasoning
  • Scientific Literature
  • Social Sciences
  • Two Dimensional
  • United States

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  • Calculus or Mathematical Analysis
  • Psychometric Testing or Psychological Assessment.
  • Systems Analysis and Design