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

Christopher.Lee
Kenneth M. Faulkner
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
Date
2020
Type
Journal article
Journal
European Journal of Cardiovascular Nursing
Book
Volume
19
Issue
4
Page Range
359-365
Article Number
ACU Department
Faculty of Health Sciences
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Open Access Status
License
File Access
Controlled
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