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 language | English (US) |
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Pages (from-to) | 444-450 |
Number of pages | 7 |
Journal | European Journal of Cardiovascular Nursing |
Volume | 19 |
Issue number | 5 |
DOIs | |
State | Published - 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