Identifying subgroups: Part 2: Trajectories of change over time

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

Research output: Contribution to journalArticlepeer-review

Abstract

Methods to identify multiple trajectories of change over time are of great interest in nursing and in related health research. Latent growth mixture modeling is a data-centered analytic strategy that allows us to study questions about distinct trajectories of change in key measures or outcomes of interest. In this article, a worked example of latent growth mixture modeling is presented to help expose researchers to the use and appeal of this analytic strategy.

Original languageEnglish (US)
Pages (from-to)444-450
Number of pages7
JournalEuropean Journal of Cardiovascular Nursing
Volume19
Issue number5
DOIs
StatePublished - Jun 1 2020

Keywords

  • Latent growth mixture modeling
  • latent class analysis
  • longitudinal methods
  • structural equation modeling
  • subgroup analysis
  • trajectories

ASJC Scopus subject areas

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

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