The use of confirmatory factor analyses in adolescent research: Project P.A.T.H.S. in Hong Kong

Tan Lei Shek, Man Sze Ma

Research output: Journal article publicationReview articleAcademic researchpeer-review

3 Citations (Scopus)


Factor analyses are often used to examine latent variables underlying a set of observed variables. Although exploratory factor analyses are commonly used, the findings are not definitive and there are few useful methods to determine superiority of different exploratory factor analysis models. In contrast, confirmatory factor analyses are used to test models defined in an a priori manner and different goodness-of-fit indicators are available. However, confirmatory factor analyses are complex if one uses the traditional syntax commands in LISREL. In this paper, primary factor and hierarchical confirmatory factor analyses as well as factorial invariance were examined based on the data collected in the Project P.A.T.H.S. in Hong Kong. It is expected that through a step-by-step approach, researchers and students can understand the basic procedures in performing confirmatory factor analyses using SIMPLIS commands in LISREL.
Original languageEnglish
Pages (from-to)217-226
Number of pages10
JournalInternational Journal on Disability and Human Development
Issue number2
Publication statusPublished - 1 May 2014


  • confirmatory factor analyses
  • factorial invariance
  • hierarchical factor models
  • primary factor model

ASJC Scopus subject areas

  • Rehabilitation
  • Geriatrics and Gerontology
  • Advanced and Specialised Nursing
  • Psychiatry and Mental health
  • Sensory Systems
  • Speech and Hearing


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