Graphical modeling for constructs: An integrated solution for factor analysis and GM

Hideki Toyoda, Kosuke Fukunaka, Koken Ozaki, Ikko Kawahashi

Research output: Contribution to journalArticle

Abstract

This research develops a new method for analyzing relation for factors which combines graphical modeling (GM) and factor analysis. In this method, estimation of the inverse of the variance-covariance matrix is done in the framework of factor analysis, and then the data-model fit is investigated using GM. The partial correlation coefficients of the estimated model are calculated, and the estimation of parameters is repeated until discovery of the worst fit index. In order to confirm the effectiveness of this method, three correlation matrices were analyzed as a real data study. In first and second case, intelligence models of Harman and Turstone were restructured using this method. In third case, EQ model was structured using it. The results show that this method can be apply GM for latent variables and a good assistant to set up path models for factors.

Original languageEnglish
Pages (from-to)416-423
Number of pages8
JournalShinrigaku Kenkyu
Volume78
Issue number4
Publication statusPublished - 2007 Oct

    Fingerprint

Keywords

  • Construct
  • Factor analysis
  • Graphical modeling
  • Structural equation modeling

ASJC Scopus subject areas

  • Psychology(all)

Cite this