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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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This is the final accepted version of the publication appearing in the International Journal of Behavioral Development, DOI 10.1177/0165025419881721. Per the publisher, reuse of this article is restricted to non-commercial and no derivative uses.