Latent transition analysis (LTA) is known to be a powerful tool for exploring change in latent classes of individuals over time. For this reason, applications of LTA have been actively published in the social and behavioral sciences, including education. Although the LTA model does not necessitate longitudinal measurement invariance (LMI), LMI is desirable for model parsimony and interpretation of LTA results. However, the issue of LMI has received relatively less attention in the context of the LTA model. To fill this gap in the literature, we have reviewed previous studies and present guidelines for testing LMI in an LTA framework. We also illustrate the LMI testing procedures for the LTA model with panel data from a sample of 5,439 students ranging from the 9th through 11th grades in South Korea. In addition, we provide the Mplus codes for LMI testing. Finally, practical implications of the results are discussed.