Submodels and applications in covariance structure analysis

Hideki Toyoda*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In recent years, social sciences are beginning to draw upon a new generation of multivariate analysis methods. In this paper, covariance structure analysis which is one of these methods, is discussed as a general method for many other multivariate analysis methods using the covariance structure expression by Toyoda (1990). The advantage of this method is that a priori knowledge (for instance, theoretical prediction, research design and empirical findings) can be incorporated into empirical analysis. Some worthy applications in education and psychology are introduced.

Original languageEnglish
Pages (from-to)467-478
Number of pages12
JournalThe Japanese Journal of Educational Psychology
Issue number4
Publication statusPublished - 1991
Externally publishedYes


  • Covariance Structure Analysis
  • Multivariate Analysis

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology


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