Sookyoung Son
Biographic Data
| ID | 6034470 |
|---|---|
| NAME | Sookyoung Son |
| GIVEN NAMES | Sookyoung |
| FAMILY NAME | Son |
| SIGNATURE | SON S |
| AFFILIATIONS | Woosuk University, Wanju, Republic of Korea |
| ORCID | 0000-0002-3226-169X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Developmental Trends in the Relationships Between Adolescent Career Maturity and Predictors in South Korea
This study examines how self-esteem and social support (parental, teacher, and peer) influence the career maturity of Korean adolescents over time. By synthesizing findings from 18 longitudinal studies, a meta-analysis was conducted. Results reveal that while self-esteem initially shows a strong correlation with career maturity, this relationship weakens significantly as adolescents age. In contrast, peer support maintains a relatively stable cor…
Age-Dependent Relationship between Self-Esteem and Depressive Symptoms in Korean Adolescents
Continuity and Stability of Child and Adolescent Depressive Symptoms in South Korea
Multiple Group Analysis in Multilevel Data Across Within-Level Groups
The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of procedures testing weak and strong invariance models and the latent group mean differences testing a…
A Comparison of Different Nonnormal Distributions in Growth Mixture Models
The purpose of the present study is to compare nonnormal distributions (i.e., t, skew-normal, skew- t with equal skew and skew- t with unequal skew) in growth mixture models (GMMs) based on diverse conditions of a number of time points, sample sizes, and skewness for intercepts. To carry out this research, two simulation studies were conducted with two different models: an unconditional GMM and a GMM with a continuous distal outcome variable. For…
A Comparison of Different Nonnormal Distributions in Growth Mixture Models
The purpose of the present study is to compare nonnormal distributions (i.e., t, skew-normal, skew- t with equal skew and skew- t with unequal skew) in growth mixture models (GMMs) based on diverse conditions of a number of time points, sample sizes, and skewness for intercepts. To carry out this research, two simulation studies were conducted with two different models: an unconditional GMM and a GMM with a continuous distal outcome variable. For…
Multiple Group Analysis in Multilevel Data Across Within-Level Groups
The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of procedures testing weak and strong invariance models and the latent group mean differences testing a…
Continuity and Stability of Child and Adolescent Depressive Symptoms in South Korea
Developmental Trends in the Relationships Between Adolescent Career Maturity and Predictors in South Korea
This study examines how self-esteem and social support (parental, teacher, and peer) influence the career maturity of Korean adolescents over time. By synthesizing findings from 18 longitudinal studies, a meta-analysis was conducted. Results reveal that while self-esteem initially shows a strong correlation with career maturity, this relationship weakens significantly as adolescents age. In contrast, peer support maintains a relatively stable cor…
Age-Dependent Relationship between Self-Esteem and Depressive Symptoms in Korean Adolescents
Computer Science (2 works) · Adolescent development (1 work) · Agricultural engineering (1 work) · Agriculture (1 work) · Agronomic Practices and Intercropping Systems (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Biology (1 work) · Career development (1 work) · Career Development and Diversity (1 work)