Well-Being of Transitional Adolescents Using Latent Transition Analysis and Random Forest

• In Event: Exploring the Production of Well-Being for and by Adolescents

Abstract

Analyzing longitudinal panel data from 2,204 students who were in transition from middle to high school, this study used latent transition analysis to distinguish subgroups of students based on their different transition on subjective well-being. This study explored multi-dimensional well-being patterns and how various students’ related variables (gender, study time, creativity etc.) impacted students in transition. Notable outcomes were found that group 1 in 9th grade had a high probability of transferring to the group 2 in the 10th grade, indicating well-being was increased. Group 3 in the middle school had a high probability of transferring to the group 2 during the high school, meaning well-being was decreased. Additionally significant predictor variables were found through the random forest algorithm analysis.

Authors

• Sohee Kim, University of South Alabama

• Kihye Yi, Korea University