ABSTRACT

Growth mixture models apply latent class analysis to latent growth curve models by classifying growth curve parameters into unobserved groups. The method allows researchers to group trajectories of linear or nonlinear forms into meaningfully patterns that characterize different rates or shapes of change over time. Details concerning class enumeration, fit, and covariates are described.