This workshop will provide an introduction to latent mixture modeling steps using latent class analysis (LCA) as the example analysis type. Distinctions between mixture modeling types (e.g., research questions answered, variable types) will be covered before going through the steps for completing an LCA model, which uses categorical variables for indicators. The steps for model convergence, class enumeration, and how to bring in covariates will be covered. Mplus syntax will be provided for the example model (the demo version of Mplus will be sufficient for this workshop).