Sojin Yoon
Datos Biográficos
| ID | 3913995 |
|---|---|
| NOMBRE | Sojin Yoon |
| NOMBRES | Sojin |
| APELLIDO | Yoon |
| FIRMA | YOON S |
| AFILIACIONES | Korea University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Maternal Parenting Stress Based on Employment Status
The primary objective of this study was to test measurement invariance using a multi-group latent class analysis to examine parenting stress across groups of employed and unemployed mothers. This study analyzed data from the third to eighth waves (ages 3–8) of the Panel Study on Korean Children, including a final sample of 1,796 participants with verifiable maternal employment status at the third wave. This analysis identified latent class classi…
A Comparison of LTA Models with and Without Residual Correlation in Estimating Transition Probabilities
In longitudinal mixture models like latent transition analysis (LTA), identical items are often repeatedly measured across multiple time points to define latent classes and individuals’ similar response patterns across multiple time points, which attributes to residual correlations. Therefore, this study hypothesized that an LTA model assuming residual correlations among indicator variables measured repeatedly across multiple time points would pr…
Problematic smartphone use, online classes, and middle school students’ social-emotional competencies during Covid 19
This study aimed to investigate student- and school-level variables influencing middle school students’ social and emotional competencies and to verify the mediation effects among these variables. Data were obtained from the Seoul Education Longitudinal Study 2020, and a multilevel path analysis was conducted. The analysis revealed that at the student level, higher problematic smartphone use was associated with decreased exercise, reading, and sl…
Exploring Influencing Factors at Student and Teacher/School levels on Science Self-efficacy Using Machine Learning and Multilevel Latent Profile Analysis
The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of total of 195 (110 at the student-level and 75 at the teacher/school-level), 88 at the student-level and …
Latent profiles of the differences in life satisfaction before and after a disability in Korea
This study aimed to classify the latent profiles according to the differences in life satisfaction before and after acquiring a disability and to explore the relative determinants of each latent profile. The latent profiles were extracted from 4,646 people with an acquired disability and classified into these three groups: damaged group, moderately recovered group, and fully recovered group. The determinants that significantly affected the latent…
Sin obras prominentes en esta página.
Latent profiles of the differences in life satisfaction before and after a disability in Korea
This study aimed to classify the latent profiles according to the differences in life satisfaction before and after acquiring a disability and to explore the relative determinants of each latent profile. The latent profiles were extracted from 4,646 people with an acquired disability and classified into these three groups: damaged group, moderately recovered group, and fully recovered group. The determinants that significantly affected the latent…
Exploring Influencing Factors at Student and Teacher/School levels on Science Self-efficacy Using Machine Learning and Multilevel Latent Profile Analysis
The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of total of 195 (110 at the student-level and 75 at the teacher/school-level), 88 at the student-level and …
Problematic smartphone use, online classes, and middle school students’ social-emotional competencies during Covid 19
This study aimed to investigate student- and school-level variables influencing middle school students’ social and emotional competencies and to verify the mediation effects among these variables. Data were obtained from the Seoul Education Longitudinal Study 2020, and a multilevel path analysis was conducted. The analysis revealed that at the student level, higher problematic smartphone use was associated with decreased exercise, reading, and sl…
Maternal Parenting Stress Based on Employment Status
The primary objective of this study was to test measurement invariance using a multi-group latent class analysis to examine parenting stress across groups of employed and unemployed mothers. This study analyzed data from the third to eighth waves (ages 3–8) of the Panel Study on Korean Children, including a final sample of 1,796 participants with verifiable maternal employment status at the third wave. This analysis identified latent class classi…
A Comparison of LTA Models with and Without Residual Correlation in Estimating Transition Probabilities
In longitudinal mixture models like latent transition analysis (LTA), identical items are often repeatedly measured across multiple time points to define latent classes and individuals’ similar response patterns across multiple time points, which attributes to residual correlations. Therefore, this study hypothesized that an LTA model assuming residual correlations among indicator variables measured repeatedly across multiple time points would pr…
Latent class model (3 obras) · Psychology (3 obras) · Mathematics (2 obras) · Medicine (2 obras) · Statistics (2 obras) · Structural equation modeling (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Advanced Statistical Modeling Techniques (1 obras) · Algorithm (1 obras) · Applied Psychology (1 obras)