Classification of Types and Exploration of Influential Factors of Students' Social-emotional Competencies Using Latent Profile Analysis

This study classified elementary school students' social-emotional competencies into types using latent profile analysis (LPA) and analyzed the major factors affecting them. The subjects of the study were 3,356 4th grade elementary school students who participated in the '2024 Gyeongbuk Education Longitudinal Study' conducted by the Gyeongsangbuk-do Office of Education Research Institute. The analysis was conducted using SPSS 26.0 and Mplus 8.3, using descriptive statistics, latent profile analysis (LPA), and multinomial logistic regression analysis (R3STEP). As a result of the analysis, social-emotional competencies were classified into three latent profiles: 'low-level group', 'moderate-level group', and 'high-level group', and there were significant differences between the groups in self-esteem, multicultural acceptance, self-directed learning, (reverse)depression, friendships, and volunteer activities. In addition, gender, parent-child relationship, teacher relationship, academic stress, grit, and learning motivation were found to be factors that significantly affected the types of social-emotional competencies.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.48033/jss.10.2.3
Primary Topic
Psychosocial Factors Impacting Youth
Type
article
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article

Classification of Types and Exploration of Influential Factors of Students' Social-emotional Competencies Using Latent Profile Analysis

Donguk Lee
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Psychosocial Factors Impacting Youth
article

Classification of Types and Exploration of Influential Factors of Students' Social-emotional Competencies Using Latent Profile Analysis

Donguk Lee
article en

Abstract

This study classified elementary school students' social-emotional competencies into types using latent profile analysis (LPA) and analyzed the major factors affecting them. The subjects of the study were 3,356 4th grade elementary school students who participated in the '2024 Gyeongbuk Education Longitudinal Study' conducted by the Gyeongsangbuk-do Office of Education Research Institute. The analysis was conducted using SPSS 26.0 and Mplus 8.3, using descriptive statistics, latent profile analysis (LPA), and multinomial logistic regression analysis (R3STEP). As a result of the analysis, social-emotional competencies were classified into three latent profiles: 'low-level group', 'moderate-level group', and 'high-level group', and there were significant differences between the groups in self-esteem, multicultural acceptance, self-directed learning, (reverse)depression, friendships, and volunteer activities. In addition, gender, parent-child relationship, teacher relationship, academic stress, grit, and learning motivation were found to be factors that significantly affected the types of social-emotional competencies.

Vol. 10(2)
Openalex Percentile: Top 77%
Psychosocial Factors Impacting Youth
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Classification of Types and Exploration of Influential Factors of Students' Social-emotional Competencies Using Latent Profile Analysis — Donguk Lee · (2025) | TGRS Research Map | TGRS