Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers

The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) dat...

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Bibliographic Details
Published inInternational journal of behavioral development Vol. 44; no. 5; pp. 458 - 468
Main Authors Ferguson, Sarah L., G. Moore, E. Whitney, Hull, Darrell M.
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.09.2020
SAGE PUBLICATIONS, INC
Subjects
Computer Software
Data Analysis
Data Interpretation
Goodness of Fit
Researchers
Statistical Analysis
Syntax
Latent profile analysis
latent variable modeling
teaching paper
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Summary:The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models, (c) model fit and interpretability, (d) investigation of patterns of profiles in a retained model, (e) covariate analysis, and (f) presentation of results. A worked example is provided with syntax and results to exemplify the steps.
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ISSN:0165-0254
1464-0651
DOI:10.1177/0165025419881721