This book analyzes LTMs from the perspective of structural equation modeling (SEM) with latent variables. Although the authors discuss simple regression-based procedures that are helpful in the early stages of LTM, most of the presentation will use SEMs as a driving tool throughout the text. With the growing availability of longitudinal or panel data, social science applications and interests in latent trajectory models (LTMs) have increased.