Confirmatory factor analysis: an introduction for psychosomatic medicine researchers.

Published

Journal Article

We present an introduction to the basic concepts essential to understanding confirmatory factor analysis (CFA). We initially discuss the underlying mathematical model and its graphical representation. We then show how parameters are estimated for the CFA model based on the maximum likelihood function. Finally, we discuss several ways in which model fit is evaluated as well as introduce the concept of model identification. In our presentation, we use an example to illustrate the application of CFA to psychosomatic research and touch on the more general role of structural equation modeling in psychosomatic research.

Full Text

Duke Authors

Cited Authors

  • Babyak, MA; Green, SB

Published Date

  • July 2010

Published In

Volume / Issue

  • 72 / 6

Start / End Page

  • 587 - 597

PubMed ID

  • 20467001

Pubmed Central ID

  • 20467001

Electronic International Standard Serial Number (EISSN)

  • 1534-7796

Digital Object Identifier (DOI)

  • 10.1097/PSY.0b013e3181de3f8a

Language

  • eng

Conference Location

  • United States