Latent Profile Analysis in R: A tutorial and comparison to Mplus
Klaas J. Wardenaar
Abstract
Latent profile analysis (LPA) can be used to identify data-driven classes of individuals based on scoring patterns across continuous input variables.LPA can be conducted using commercially available software packages like Mplus, Latent Gold, and SAS, but it is also possible to use freely available R-packages.This tutorial aims to (1) help applied researchers to conduct an LPA in R and (2) to show how results obtained in R compare to those obtained in Mplus.
Topics & Concepts
Latent variableComputer sciencePsychologyArtificial intelligenceAdvanced Statistical Modeling TechniquesData Analysis with R