Simultaneous optimization of factor assessibility and representativeness - An old solution to a new problem

Vernon L. Greene

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

P. M. Bentler has shown that Rao's canonical factor analysis is in effect a psychometric analysis, leading to factors that are maximally assessible from the data. He contrasts this with Kaiser and Caffrey's alpha factor analysis that leads to factors that maximally represent the true factors in the content domain. Noting the problems associated with factors that may be highly assessible, but not very representative, or vice versa, Bentler suggests the need for a technique that would, insofar as possible, be optimal with respect to both criteria. Such a technique is presented here, and is shown to resolve into a traditional scaling method, which in turn acquires a richer psychometric interpretation.

Original languageEnglish (US)
Pages (from-to)273-275
Number of pages3
JournalPsychometrika
Volume43
Issue number2
DOIs
StatePublished - Jun 1 1978

Keywords

  • alpha factor analysis
  • canonical factor analysis
  • principal components
  • reliability
  • validity

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Mathematics

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