Using structural equation modeling to fit models incorporating principal components

Conor Dolan, Timo Bechger, Peter Molenaar

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


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
Issue number3
StatePublished - Dec 1 1999

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'Using structural equation modeling to fit models incorporating principal components'. Together they form a unique fingerprint.

Cite this