Identifying subgroups: Part 2: Trajectories of change over time
Journal article
Christopher Lee, Kenneth M. Faulkner and Jessica H. Thompson. (2020). Identifying subgroups: Part 2: Trajectories of change over time. European Journal of Cardiovascular Nursing. 19(5), pp. 444-450. https://doi.org/10.1177/1474515120911330
Authors | Christopher Lee, Kenneth M. Faulkner and Jessica H. Thompson |
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Abstract | 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. |
Keywords | latent class mixture modeling; latent models; structural equation modeling; subgroup analysis |
Year | 2020 |
Journal | European Journal of Cardiovascular Nursing |
Journal citation | 19 (5), pp. 444-450 |
Publisher | Oxford University Press |
ISSN | 1474-5151 |
Digital Object Identifier (DOI) | https://doi.org/10.1177/1474515120911330 |
Scopus EID | 2-s2.0-85081628332 |
Publisher's version | File Access Level Controlled |
Publication process dates | |
Deposited | 28 Apr 2021 |
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https://acuresearchbank.acu.edu.au/item/8vy81/identifying-subgroups-part-2-trajectories-of-change-over-time
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