Using structural equation modeling to fit models incorporating principal components

Conor Dolan, Timo Bechger, Peter Molenaar

Research output: Contribution to journalArticle

12 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)233-261
Number of pages29
JournalStructural Equation Modeling
Volume6
Issue number3
DOIs
StatePublished - Dec 1 1999

Fingerprint

Structural Equation Modeling
Principal Components
Principal component analysis
Principal Component Analysis
LISREL
Analysis of variance
Analysis of variance (ANOVA)
analysis of variance
Model
Principal components
Structural equation modeling
Demonstrate

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Modeling and Simulation
  • Sociology and Political Science
  • Economics, Econometrics and Finance(all)

Cite this

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Using structural equation modeling to fit models incorporating principal components. / Dolan, Conor; Bechger, Timo; Molenaar, Peter.

In: Structural Equation Modeling, Vol. 6, No. 3, 01.12.1999, p. 233-261.

Research output: Contribution to journalArticle

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