Longitudinal Adaptive Pattern Analysis of Child Abuse Victims During Childhood and Adolescence

Abstract

Adopting a contextual, systematic perspective, the present study aimed to understand whether an individual's adverse circumstances in one domain have a continuous effect on his or her maladaptation in another domain. The Korean Children and Youth Panel Survey data set, comprising a stratified sample of 1,932 students recruited from 95 schools from 16 cities in Korea, was used for pattern identification, latent class analysis, and latent transition analysis. Consistent with Masten's resilience model, latent class analysis was used to identify the following four types of patterns: resilient, maladaptive, vulnerable, and competent-unchallenged. These four patterns were clearly identified at Time 1, Time 2, and Time 3. Latent transition analysis was used to identify the continuity and change patterns in the four groups across the developmental pathology. The transition probabilities from Time 1 to Time 2 were relatively unstable, with many variations observed among the latent classes; however, the transition probabilities from Time 2 to Time 3 remained relatively stable. An in-depth discussion of the findings and their implications is provided.