Latent growth modeling (LGM) is a powerful, flexible, and versatile methodology for studying time-related change. Employing LGM in the communication field can make important contributions to advancing communication research, theory, and pedagogy. This chapter presents the specific advantages of conceptualizing and analyzing change in a LGM framework and offers a methodologically sound and useful presentation of the procedure from a structural equation modeling perspective. In addition, the chapter illustrates the benefits of studying change at the construct (latent variable) level, offers a comprehensive example of testing for longitudinal invariance, and introduces the unconditional and conditional second-order LGMs.