Abstract
Objectives The purpose of this study is to classify middle school students accoring to the change of their delinquency measures and to find predictors of delinquency among variables in their 6th grade.
 Methods Using Gyeonggi Education Panel Study(GEPS) data for the elementary students panel from 3th year(6th grade in elementary school) to 6th year(3rd grade in middle school), latent growth mixture modeling was applied to classfy middle school students' pattern of delinquency changes, and multinomial logistic regression was conducted to find predictor variables.
 Results With latent growth mixture analyses, three latent classes were identified: ‘decreasing from high level’, ‘increasing from low level’, and ‘low-level’. The probability of class membership was significantly predicted by gender, physical self-concept, academic achievement, parental attachment, parental monitoring, and peer relationship.
 Conclusions It was suggested to develop a policy-based support system to affect variables in elementary school that predicts students' delinquency in middle school and that teachers in elementary schools can detect easily. Specifically, an early intervention for students with low academic achievement was suggested as an effective approach to prevent delinquency.
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