Identifying subgroups: Part 1: Patterns among cross-sectional data

Christopher S. Lee, Kenneth M. Faulkner, Jessica H. Thompson

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Non-experimental designs are common in nursing and allied health research wherein study participants often represent more than a single population or interest. Hence, methods used to identify subgroups and explore heterogeneity have become popular. Latent class mixture modeling is a versatile and person-centered analytic strategy that allows us to study questions about subgroups within samples. In this article, a worked example of latent class mixture modeling is presented to help expose researchers to the nuances of this analytic strategy.

Original languageEnglish (US)
Pages (from-to)359-365
Number of pages7
JournalEuropean Journal of Cardiovascular Nursing
Issue number4
StatePublished - Apr 1 2020


  • Latent class mixture modeling
  • latent models
  • structural equation modeling
  • subgroup analysis

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Medical–Surgical
  • Advanced and Specialized Nursing


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