An Analysis of Multidimensional University Life Patterns and Transitions Using Latent Transition Analysis

This study analyzes longitudinal patterns of university life to provide a basis for customized student support policies. Using data from the "Korean Education Longitudinal Study 2013" (n=2,066), Latent Transition Analysis (LTA) was conducted to identify latent profiles and examine their transition patterns, predictors, and academic outcomes. Transition probability estimates showed high stability, where positive or negative patterns at previous stages tended to persist. Covariates influencing these transitions included creativity, self-management, community consciousness, career maturity, and academic achievement. Furthermore, profile membership at the final stage was significantly associated with the intention to dropout. These findings highlight the multidimensional nature of university life and suggest that student support systems must shift toward prescriptive, tailored interventions based on specific longitudinal patterns. This study provides empirical evidence essential for developing such individualized support frameworks in higher education.