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This study identified changes in Korean and heritage language proficiencies across five waves (2011)(2012)(2013)(2014)(2015) and examined the association between linguistic acculturation trajectories and adjustment (2016) among Korean adolescents with immigrant family backgrounds (N = 1441; 51.21% female; M age(baseline) = 9.97). All adolescents were from multiethnic families with 91.65% comprising a non-Korean Asian mother (e.g., Japan, Philippines, China, Thailand) and Korean father. Parallel process latent class growth modeling and multivariate regression analysis were conducted to estimate the trajectories of linguistic acculturation and their effects on adolescents' future adjustment. Linguistic acculturation trajectories were classified into three latent groups. Bilingual adolescents demonstrated better adjustment over adolescents in other trajectories. Findings highlight the importance of considering patterns of change in linguistic acculturation for understanding Korean multicultural adolescents' adjustment.

Background: A large body of research has found that corporal punishment is associated with increases in children's behavior problems. However, questions remain as to whether or not the relationship between corporal punishment and behavior problems is equally true across contexts. Objective: To examine the degree to which the effects of corporal punishment are equivalent across neighborhoods. Specifically, is corporal punishment equivalently associated with child behavior problems in neighborhoods that are perceived to be unsafe or disadvantaged, as compared to neighborhoods that are perceived to be less disadvantaged? Participants: 2703 participants in the Fragile Families and Child Wellbeing Study. Methods: We employed Bayesian regression methods, to examine the association of neighborhood disadvantage, corporal punishment, and their interaction, with child behavior problems. Results: Findings suggest that both neighborhood disadvantage (β = 0.070) and parental use of corporal punishment (β = 0.169) had main effect associations with child behavior. However, there was no evidence for an interaction of neighborhood disadvantage and corporal punishment use. Conclusions: Both corporal punishment and neighborhood disadvantage were associated with increases in child behavior problems. Corporal punishment appears to be equally deleterious across neighborhood contexts.

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This study identified the acculturation trajectories of multicultural adolescents in South Korea along with those of their migrant mothers using a latent class growth analysis and examined the relationship between latent trajectories of adolescents and their mothers and the adjustment of adolescents. Data from a nationally representative sample of Multicultural Adolescents Panel Study (N = 1458, Girls = 50.62%, age range = 9.97–14.96) were used. Three latent acculturation trajectories of multicultural adolescents were identified, including integration, modest assimilation, and high assimilation, and four latent acculturation trajectories of migrant mothers were distinguished, including high assimilation, high separation, modest assimilation, and modest separation. The most favorable profiles were those of the integration of adolescents and high assimilation of migrant mothers. These findings suggested the importance of providing family‐based prevention and intervention programs against the maladjustment of South Korean multicultural adolescents.

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Objective: Delinquent peers are important predictors of adolescent delinquent behavior. Few studies have classified individuals into groups based on patterns of delinquent behavior among youth and their peers. This study identified latent groups based on adolescent-peer delinquency and examined psychosocial characteristics of each latent group. Methods: First, the study employed latent class analysis based on a nationally representative data of South Korean middle school students (N = 2,277). Both adolescent and peer delinquent behaviors comprised 13 items in the questionnaire that was self-reported by adolescents. Second, the study used multivariate regression models to analyze psychosocial symptoms of latent groups and conducted Wald tests to compare differences among latent groups. Results: Patterns of adolescent-peer delinquency were classified into six latent groups. "Mutual total delinquent group (1.2%)" showed high rates in most delinquent experiences. "Mutual status delinquent group (5.7%)" mainly experienced status delinquency, "Mutual violence delinquent group (5.3%)" showed high rates of violent delinquency. "Peer-only total high delinquent group (3.8%)" reported friends to have engaged in all types of delinquency and "Peer-only total medium delinquent group (11.8%)" reported peer involvement in multiple status and few violent delinquency. Finally, "low risk group (72.2%)" reported low rates of delinquency for themselves and their friends. Regression analysis showed that every "mutual" delinquent group presented significantly worse psychosocial problems than the "low risk group." Conclusion: Using person centered latent class analysis, this study classified six latent classes while considering both delinquent agents and various types of delinquency and investigated specific groups with greater risk of psychosocial problems.

Objectives: With the advances in digital technologies, adolescents are more likely to engage in multiple types of delinquent behaviors; however, few studies have considered various types of delinquencies with a multidimensional approach. Therefore, this study aimed to identify the latent groups based on various delinquencies and examine latent groups’ predictors using machine learning and multidimensional approaches.Methods: Using nationally representative data (N = 8,210; male 52.17%), a latent class analysis was conducted to identify latent groups based on 10 delinquent behaviors self-reported by adolescents. A random forest analysis was then employed to predict latent groups using 53 predictors including demographic (6 items), personal (44 items), and environmental levels (3 items). The Mplus program was used for latent class analysis, and the R version 4.0.5 program was used for random forest analysis.Results: Three latent groups were identified and categorized as “high online delinquency” (3.2%), “drink/media delinquency” (26.8%), and “low delinquency” (70.0%). Random forest analysis found adolescents’ perception of harmful substances was the most important variable predicting the delinquent groups. Partial dependence plots showed the higher the interest in harmful substances, the lower the ability to respond to the harmful substances; the higher the access to harmful environment, the lower the grade; and the lower the autonomy control ability, the more likely the classification as a high delinquency group.Conclusion: This study classified three latent groups while considering the detailed types of delinquencies. The study found the prominent predictors using machine learning and multidimensional approaches to suggest useful delinquency prevention programs.