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

Sarah L. Ferguson, E. Whitney G. Moore, Darrell M. Hull

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)458-468
Number of pages11
JournalInternational Journal of Behavioral Development
Volume44
Issue number5
DOIs
StatePublished - Sep 1 2020

All Science Journal Classification (ASJC) codes

  • Social Psychology
  • Education
  • Developmental and Educational Psychology
  • Social Sciences (miscellaneous)
  • Developmental Neuroscience
  • Life-span and Life-course Studies

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