Developed an extension of the general latent variable growth curve modeling framework to four levels of the hierarchy. The extension merged two common analytical approaches: full information maximum likelihood (ML) latent growth modeling and limited information multilevel latent growth modeling using an ML estimator. Results for data from 250 adolescents show comparable outcomes and interpretations from the extension and regression-based techniques. (SLD)