Classifying the sense of community trajectories among South Korea adolescents

Abstract

We examined the longitudinal patterns of the sense of community among the middle and the late adolescents. For this purpose, we used the latent class growth analysis to explore the trajectories of the sense of community, and multinomial logistic regression was conducted to identify the significant predictors. The data for this study were taken from the Korean Children and Youth Panel Survey from 2010 to 2016. The major findings are as follows. First, three latent classes were identified: low‐, middle‐, and high‐level increasing group. Gender, mobile phone addiction, parental affection, household income, peer and teacher relationship, and school activities were significantly associated with the latent classes. On the basis of the results, implications with suggestions for future research were discussed.

The gendered relationship between cumulative exposure to lower community attachment and adolescent health

“…It appears to be especially pertinent for Korean adolescents, who are experiencing a gradual decline in community attachment as a result of academic pressures that require adolescents to spend the majority of their days in educational institutions (Chung & Lim, 2014). It is thus critical to investigate whether cumulative exposure to lower community attachment (LCA) has a persistent effect on the health of Korean adolescents (Yoo, 2020).…”

“…While rapid economic growth improves people's quality of life, it also exposes them to socioeconomic challenges such as income inequality and urbanization. These challenges gradually erode cultural norms that value collective characteristics, such as the establishment of informal relationship‐based networks within communities (Yee & Chang, 2009; Yoo, 2020). Additionally, a cultural emphasis on academic achievement (e.g., admission to a good college or university) as a prerequisite for life success compels adolescents to pursue educational programs after school, such as private tutoring (T. Kim et al, 2022).…”

Community identity profiles and COVID‐19‐related community participation

“…Given this research gap, our first aim was to adopt a person‐oriented approach, particularly latent profile analysis, to differentiate multiple community identifiers for the following reasons. Methodologically, community psychologists have increasingly advocated a person‐oriented approach (e.g., cluster analysis, latent class analysis and latent profile analysis) in review articles and used it in empirical research (e.g., Bogat, 2009 ; Christens, Collura, & Tahir, 2013 ; Yang & Xin, 2016b ; Yoo, 2019 ). Following this research line, we used this method to examine the heterogeneity in community identity.…”