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

Hideki Toyoda, Kosuke Fukunaka*, Koken Ozaki, Ikko Kawahashi

*この研究の対応する著者

研究成果: Article査読

抄録

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.

本文言語English
ページ(範囲)416-423
ページ数8
ジャーナルShinrigaku Kenkyu
78
4
DOI
出版ステータスPublished - 2007 10月

ASJC Scopus subject areas

  • 心理学(全般)

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