To explore longitudinal phenomena and test social science theories over time, this paper presents Latent Growth Modeling (LGM) as a complementary method for analyzing longitudinal data, understanding the process of change over time, testing time-centric hypotheses, and building longitudinal theories. The paper describes the basic tenets of LGM and offer practical guidelines for applying LGM to test time-centric hypotheses. It also extends LGM by proposing a fundamental criterion to evaluate LGM and conducting simulations to examine factors that affect the performance of LGM. The paper derives implications for IS research that could arise by using LGM to develop and test longitudinal theories.
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