| Literature DB >> 32131616 |
Christopher S Lee1, Kenneth M Faulkner1, Jessica H Thompson1.
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.Entities:
Keywords: Latent growth mixture modeling; latent class analysis; longitudinal methods; structural equation modeling; subgroup analysis; trajectories
Mesh:
Year: 2020 PMID: 32131616 DOI: 10.1177/1474515120911330
Source DB: PubMed Journal: Eur J Cardiovasc Nurs ISSN: 1474-5151 Impact factor: 3.908