The concepts underpinning latent class analysis, which groups a set of observed variables into unobserved categories, are explained. These concepts are then applied to longitudinal analysis using latent transition analysis. Latent transition modeling approaches are illustrated with several analyses. Connections to other statistical analyses (mixture models, Markov models, and quasi-simplex models) are explored.