Moderation analysis is typically conducted by incorporating a single variable (e.g., gender, baseline severity) as a moderator into a multiple regression model. By using LCA, researchers can identify subgroups of people exposed to a common set of factors, and who, therefore, may respond differently to intervention. That is, latent class membership can be used as the moderating variable in multiple regression.

More information is coming soon, including code to conduct latent class moderation using the BCH approach! Stay tuned and sign up for our listserv below.