Using structural equation modeling to fit models incorporating principal components

Conor Dolan; Timo Bechger; Peter Molenaar

doi:10.1080/10705519909540132

Using structural equation modeling to fit models incorporating principal components

Conor Dolan, Timo Bechger, Peter Molenaar

Human Development and Family Studies

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

The aim of this article is to consider models incorporating principal components from the perspective of structural equation modeling. These models include the principal component analysis of patterned matrices, multiple analysis of variance based on principal components, and multigroup principal component analysis. We demonstrate that these models can be fit readily using the programs LISREL 8 and Mx. The models and certain extensions are discussed, and several illustrations are given.

Original language	English (US)
Pages (from-to)	233-261
Number of pages	29
Journal	Structural Equation Modeling
Volume	6
Issue number	3
DOIs	https://doi.org/10.1080/10705519909540132
State	Published - 1999

All Science Journal Classification (ASJC) codes

General Decision Sciences
General Economics, Econometrics and Finance
Sociology and Political Science
Modeling and Simulation

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10.1080/10705519909540132

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title = "Using structural equation modeling to fit models incorporating principal components",

abstract = "The aim of this article is to consider models incorporating principal components from the perspective of structural equation modeling. These models include the principal component analysis of patterned matrices, multiple analysis of variance based on principal components, and multigroup principal component analysis. We demonstrate that these models can be fit readily using the programs LISREL 8 and Mx. The models and certain extensions are discussed, and several illustrations are given.",

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AB - The aim of this article is to consider models incorporating principal components from the perspective of structural equation modeling. These models include the principal component analysis of patterned matrices, multiple analysis of variance based on principal components, and multigroup principal component analysis. We demonstrate that these models can be fit readily using the programs LISREL 8 and Mx. The models and certain extensions are discussed, and several illustrations are given.

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Using structural equation modeling to fit models incorporating principal components

Abstract

All Science Journal Classification (ASJC) codes

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