Analysis on Types of Academic Stress Change and Their Characteristics Using SEMTree (76291)

Session Information: Mind, Brain & Psychology
Session Chair: Romain Magboo

Saturday, 17 February 2024 11:25
Session: Session 2
Room: Kirimas
Presentation Type: Oral Presentation

All presentation times are UTC + 8 (Asia/Kuala_Lumpur)

The academic achievement of Korean students is known to be very high around the world. However, it is also pervasively pointed out that most Korean students suffer from severe academic stress in a reality that puts much focus on academic achievement. Korean students' academic stress worsens as their grade goes up due to the competition for college entrance exams. Most previous research analyzed the relationship between academic stress and covariates at a single time point. Even longitudinal studies at multiple time points were conducted using LGM, assuming that change patterns would be homogeneous in the population. This study aims to reveal different types of academic stress changes using SEMtree. SEMtree is a model-based recursive method that combines decision trees and SEM to select a heterogeneous set of potential predictors. We used Gyeonggi Education Panel Study (GEPS) data from the 3rd grade in middle school to the 2nd grade in high school. Covariates used in the analysis were student gender, the initial value and amount of change in depression, self-esteem, academic self-efficacy, and perceived academic pressure. As a result, five groups with heterogeneous change patterns were identified according to the initial value of depression and perceived academic pressure, the amount of change in depression and academic self-efficacy. The finding suggests that key covariates that determine the pattern of academic stress change are depression and perceived academic pressure. The implications of these findings are discussed.

Authors:
Sujin Baeg, Seoul National University, South Korea
Junghwi Shin, Seoul National University, South Korea
Hyun-Jeong Park, Seoul National University, South Korea


About the Presenter(s)
Ms SUJIN BAEG is a University Doctoral Student at Seoul National University in South Korea

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00