Sehee Hong
Datos Biográficos
| ID | 3913996 |
|---|---|
| NOMBRE | Sehee Hong |
| NOMBRES | Sehee |
| APELLIDO | Hong |
| FIRMA | HONG S |
| AFILIACIONES | Korea University |
| ORCID | 0000-0001-5468-8398 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 36 |
| TOTAL DE CITAS | 96 |
| TOTAL COMO AUTOR | 36 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1997 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 4 |
An Alternative Approach to Growth Mixture Model
This study evaluates the performance of five modeling approaches—unconstrained growth mixture model (GMMU), constrained GMM (GMMC), latent class growth model (LCGM), covariance pattern mixture model (CPMM) with compound symmetry (CPMM-CS), and CPMM with Toeplitz (CPMM-TP) structure—in identifying heterogeneous growth trajectories in longitudinal data. A Monte Carlo simulation was conducted using a three-class growth mixture model with five time p…
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…
The relationship between worry about technological progress and job engagement - Differences by type of job characteristics
Exploring the factors that influence academic stress among elementary school students using a Lasso penalty regression model
A Network Analysis of the Relationship Between Automation and Job Characteristics
The purpose of this study is to identify core occupational characteristics that affect the potential for a job to be automated and to reveal the relationship and paths between those characteristics, such as skill(s), work environment and knowledge. In this study, a network was estimated and visualised to identify the relationship between occupational characteristics using the Gaussian graphical model method and to reveal the occupational characte…
Comparison of Factor Retention Methods in Exploratory Factor Analysis
The primary goal of exploratory factor analysis (EFA) is to determine the number of factors and their structure. Thus, the decision on the number of factors to retain is crucial. Nevertheless, researchers frequently overlook the precision of factor retention techniques and opt for unreliable methodologies instead. The objective of this study is to compare the efficiency of utilizing root mean square error of approximation (RMSEA) and parallel ana…
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 …
Evaluating the Quality of Classification in Mixture Model Simulations
The purpose of this study was to evaluate the degree of classification quality in the basic latent class model when covariates are either included or are not included in the model. To accomplish this task, Monte Carlo simulations were conducted in which the results of models with and without a covariate were compared. Based on these simulations, it was determined that models without a covariate better predicted the number of classes. These findin…
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…
Growth Mixture Modeling With Nonnormal Distributions
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality assumption and using data transformation on repeated measures. Based on unconditional GMM with two l…
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…
Profiles of Working Moms’ Daily Time Use
This paper identified latent profiles depending on the patterns of daily time usage amongst working moms in Korea and tested their relations to family- and work-related characteristics. The consequent differences in the levels of leisure attributes were further investigated. Taking a holistic approach, latent profile analysis, one of the person-centered methods, was conducted using data drawn from the seventh year of the Korean Longitudinal Surve…
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…
Comparing the Robustness of Stepwise Mixture Modeling With Continuous Nonnormal Distal Outcomes
The present study aims to compare the robustness under various conditions of latent class analysis mixture modeling approaches that deal with auxiliary distal outcomes. Monte Carlo simulations were employed to test the performance of four approaches recommended by previous simulation studies: maximum likelihood (ML) assuming homoskedasticity (ML_E), ML assuming heteroskedasticity (ML_U), BCH, and LTB. For all investigated simulation conditions, t…
A Comparison of Mixture Modeling Approaches in Latent Class Models With External Variables Under Small Samples
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class model with three predictor variables and a latent class model with one distal outcome variable. For t…
Comparisons of Multilevel Modeling and Structural Equation Modeling Approaches to Actor–Partner Interdependence Model
There are basically two modeling approaches applicable to analyzing an actor-partner interdependence model: the multilevel modeling (hierarchical linear model) and the structural equation modeling. This article explains how to use these two models in analyzing an actor-partner interdependence model and how these two approaches work differently. As an empirical example, marital conflict data were used to analyze an actor-partner interdependence mo…
Factor Structure and Other Psychometric Properties of the Social Phobia Inventory in Korean Samples
We examined the factor structure and other psychometric properties of the Social Phobia Inventory (SPIN) in Korean nonclinical (N1 = 457, N2 = 444) and clinical undergraduate samples (N3 = 12). Results support the revised 3-factor structure and applicability of the SPIN as a measure yielding valid and reliable scores of social anxiety to Koreans
The New Factor Structure of the Korean Version of the Difficulties in Emotion Regulation Scale (K-Ders) Incorporating Method Factor
The factor structure of the Korean version of the Difficulties in Emotion Regulation Scale was examined. Rather than the six-factor model, the five-factor model with a method factor was supported. This result suggests that the AWARENESS and CLARITY factors can be combined into one construct, controlling for the method factor
Developmental Research
Multivariate Autoregressive Cross-Lagged Modeling of the Reciprocal Longitudinal Relationship between Perceived Control and Academic Achievement
Although many studies have demonstrated positive associations between perceived control and academic achievement, few studies have actually explored which of the two constructs is the determinant of the other. There are only a few longitudinal studies on the relationship of perceived control and academic achievement. The present study examined the reciprocal longitudinal relation between perceived control and academic achievement. Further, consid…
Mixed Rasch Modeling of the Self-Rating Depression Scale
In this study, mixed Rasch modeling was used on the Self-Rating Depression Scale (SDS), a widely used measure of depression, among a non-Western sample of 618 Korean college students. The results revealed three latent classes and confirmed the unidimensionality of the SDS. In addition, there was a significant effect for gender in terms of class membership. The implications for diagnosis and treatment for normal populations are discussed as well a…
Direct and Indirect Longitudinal Effects of Parental Involvement on Student Achievement
The present study on the influence of parental involvement on students' academic achievement overcame limitations in current research by including simultaneous considerations of multidimensional, longitudinal, mediational, and ethnic factors. Results indicated (a) significant ethnic differences in the direct effects of parental involvement on academic achievement; (b) consistent indirect effects, mediated by student educational aspiration, across…
Rasch Rating Scale Modeling of the Korean Version of the Beck Depression Inventory
The Beck Depression Inventory (BDI) is one of the most frequently used instruments in the study of depression both within and outside of the United States. Though developed primarily with European American clinical populations, the BDI has been applied in nonclinical and non-Western samples. To determine whether such a practice is warranted, the authors used Rasch rating scale modeling on a Korean version of the BDI (BDI-K) with Korean university…
Cultural value similarities and differences among Asian American ethnic groups
Using data on 570 Chinese, Filipino, Korean, and Japanese American college students from 3 previous studies (1 published [B. S. K. Kim, D. R. Atkinson, & P. H. Yang, 1999] and 2 unpublished [B. S. K. Kim, 1999; E. C. Wong, B. S. K. Kim, N. W. S. Zane, I. J. Kim, & J. S. Huang, 1999]), the authors subjected 22 items constituting 6 value dimensions of the Asian Values Scale (AVS; B. S. K. Kim et al., 1999) to the following structural equation model…
A Psychometric Revision of the Asian Values Scale Using the Rasch Model
The 36-iiem Asian Values Scale (B. S. K. Kim. D. R. Atkinson. & P. H. Yang, 1999) was revised on the basis of G. Rasch’s (1960) model and data from 618 Asian Americans, The results led to the establishment of a 2 5-item measure named the Asian Values Scale-Revised
A Psychometric Revision of the European American Values Scale for Asian Americans Using the Rasch Model
The 18-item European American Values Scale for Asian Americans (M. M. Wolfe, P. H. Yang. E. C. Wong. & D. R. Atkinson, 2001) was revised on the basis of results from a psychometric analysis using the Rasch Model (G. Rasch. 1960). The results led to the establishment of the 25-item European American Values Scale for Asian Americans-Revised
Protective factors against substance use among Asian American youth
Few viable theoretical models of risk and protective factors for adolescent substance use have been empirically tested on diverse populations. The purpose of this study was twofold. First, the cross‐cultural validity of Oetting and Beauvais' (1987) peer cluster theory was tested on a sample of Asian American youth. Second, the effect of youths' immigration experience on the relationship among the protective factors was examined. Results showed pa…
The New Factor Structure of the Korean Version of the Difficulties in Emotion Regulation Scale (K-Ders) Incorporating Method Factor
The factor structure of the Korean version of the Difficulties in Emotion Regulation Scale was examined. Rather than the six-factor model, the five-factor model with a method factor was supported. This result suggests that the AWARENESS and CLARITY factors can be combined into one construct, controlling for the method factor
Power Analysis in Covariance Structure Modeling Using GFI and Agfi
Extending earlier work by MacCallum, Browne, and Sugawara (1996), procedures are shown for conducting power analysis of tests of overall fit of covariance structure models when null and alternative levels of model fit are specified in terms of values of the GFI or AGFl fit indexes. Results show that for GFI-based power analyses, holding null and alternative values of GFI fixed, power decreases as degrees of freedom increase, which is a counter-in…
Sample size in factor analysis.
The factor analysis literature includes a range of recommendations regarding the minimum sample size necessary to obtain factor solutions that are adequately stable and that correspond closely to population factors. A fundamental misconception about this issue is that the minimum sample size, or the minimum ratio of sample size to the number of variables, is invariant across studies. In fact, necessary sample size is dependent on several aspects …
Latent Structure of the Social Interaction Self-Statement Test
Latent Structure of the Social Interaction Self-Statement Test
Since the Social Interaction Self-statement Test was presented, a clear factor structure of the measure has not been defined. This situation is largely due to a lack of agreement among researchers with respect to the method of factoring, rotation criteria, and interpretation of factor loadings. The aim of the present study was to evaluate, using confirmatory factor analyses, the various factor models of the test. Results clearly supported a novel…
Hierarchical Confirmatory Factor Analysis of the Revised Personal Style Inventory
Autonomy and sociotropy, reflecting excessive concern about autonomous achievement and interpersonal relationships, respectively, have been proposed as the two personality dimensions that prompt vulnerability to depression. Accordingly, several self-report questionnaires have been developed to measure these two dimensions. The revised Personal Style Inventory (PSI) represents a significant improvement over existing measures in that it assesses en…
Sample Size in Factor Analysis
This article examines effects of sample size and other design features on correspondence between factors obtained from analysis of sample data and those present in the population from which the samples were drawn. We extend earlier work on this question by examining these phenomena in the situation in which the common factor model does not hold exactly in the population. We present a theoretical framework for representing such lack of fit and exa…
Cultural value similarities and differences among Asian American ethnic groups
Using data on 570 Chinese, Filipino, Korean, and Japanese American college students from 3 previous studies (1 published [B. S. K. Kim, D. R. Atkinson, & P. H. Yang, 1999] and 2 unpublished [B. S. K. Kim, 1999; E. C. Wong, B. S. K. Kim, N. W. S. Zane, I. J. Kim, & J. S. Huang, 1999]), the authors subjected 22 items constituting 6 value dimensions of the Asian Values Scale (AVS; B. S. K. Kim et al., 1999) to the following structural equation model…
Protective factors against substance use among Asian American youth
Few viable theoretical models of risk and protective factors for adolescent substance use have been empirically tested on diverse populations. The purpose of this study was twofold. First, the cross‐cultural validity of Oetting and Beauvais' (1987) peer cluster theory was tested on a sample of Asian American youth. Second, the effect of youths' immigration experience on the relationship among the protective factors was examined. Results showed pa…
Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample
The Personal Style Inventory (PSI) was developed to assess individuals’ levels of sociotropy and autonomy, two personality characteristics considered to be associated with increased vulnerability to depression. This study used the approach of latent means analysis (LMA) within the framework of structural equation modeling (SEM) to explore the factor structure and gender differences associated with the PSI in a sample of Korean undergraduates ( N …
A Psychometric Revision of the Asian Values Scale Using the Rasch Model
The 36-iiem Asian Values Scale (B. S. K. Kim. D. R. Atkinson. & P. H. Yang, 1999) was revised on the basis of G. Rasch’s (1960) model and data from 618 Asian Americans, The results led to the establishment of a 2 5-item measure named the Asian Values Scale-Revised
Direct and Indirect Longitudinal Effects of Parental Involvement on Student Achievement
The present study on the influence of parental involvement on students' academic achievement overcame limitations in current research by including simultaneous considerations of multidimensional, longitudinal, mediational, and ethnic factors. Results indicated (a) significant ethnic differences in the direct effects of parental involvement on academic achievement; (b) consistent indirect effects, mediated by student educational aspiration, across…
Rasch Rating Scale Modeling of the Korean Version of the Beck Depression Inventory
The Beck Depression Inventory (BDI) is one of the most frequently used instruments in the study of depression both within and outside of the United States. Though developed primarily with European American clinical populations, the BDI has been applied in nonclinical and non-Western samples. To determine whether such a practice is warranted, the authors used Rasch rating scale modeling on a Korean version of the BDI (BDI-K) with Korean university…
A Psychometric Revision of the European American Values Scale for Asian Americans Using the Rasch Model
The 18-item European American Values Scale for Asian Americans (M. M. Wolfe, P. H. Yang. E. C. Wong. & D. R. Atkinson, 2001) was revised on the basis of results from a psychometric analysis using the Rasch Model (G. Rasch. 1960). The results led to the establishment of the 25-item European American Values Scale for Asian Americans-Revised
Mixed Rasch Modeling of the Self-Rating Depression Scale
In this study, mixed Rasch modeling was used on the Self-Rating Depression Scale (SDS), a widely used measure of depression, among a non-Western sample of 618 Korean college students. The results revealed three latent classes and confirmed the unidimensionality of the SDS. In addition, there was a significant effect for gender in terms of class membership. The implications for diagnosis and treatment for normal populations are discussed as well a…
Multivariate Autoregressive Cross-Lagged Modeling of the Reciprocal Longitudinal Relationship between Perceived Control and Academic Achievement
Although many studies have demonstrated positive associations between perceived control and academic achievement, few studies have actually explored which of the two constructs is the determinant of the other. There are only a few longitudinal studies on the relationship of perceived control and academic achievement. The present study examined the reciprocal longitudinal relation between perceived control and academic achievement. Further, consid…
Developmental Research
The New Factor Structure of the Korean Version of the Difficulties in Emotion Regulation Scale (K-Ders) Incorporating Method Factor
The factor structure of the Korean version of the Difficulties in Emotion Regulation Scale was examined. Rather than the six-factor model, the five-factor model with a method factor was supported. This result suggests that the AWARENESS and CLARITY factors can be combined into one construct, controlling for the method factor
A Comparison of Mixture Modeling Approaches in Latent Class Models With External Variables Under Small Samples
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class model with three predictor variables and a latent class model with one distal outcome variable. For t…
Comparisons of Multilevel Modeling and Structural Equation Modeling Approaches to Actor–Partner Interdependence Model
There are basically two modeling approaches applicable to analyzing an actor-partner interdependence model: the multilevel modeling (hierarchical linear model) and the structural equation modeling. This article explains how to use these two models in analyzing an actor-partner interdependence model and how these two approaches work differently. As an empirical example, marital conflict data were used to analyze an actor-partner interdependence mo…
Factor Structure and Other Psychometric Properties of the Social Phobia Inventory in Korean Samples
We examined the factor structure and other psychometric properties of the Social Phobia Inventory (SPIN) in Korean nonclinical (N1 = 457, N2 = 444) and clinical undergraduate samples (N3 = 12). Results support the revised 3-factor structure and applicability of the SPIN as a measure yielding valid and reliable scores of social anxiety to Koreans
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…
Comparing the Robustness of Stepwise Mixture Modeling With Continuous Nonnormal Distal Outcomes
The present study aims to compare the robustness under various conditions of latent class analysis mixture modeling approaches that deal with auxiliary distal outcomes. Monte Carlo simulations were employed to test the performance of four approaches recommended by previous simulation studies: maximum likelihood (ML) assuming homoskedasticity (ML_E), ML assuming heteroskedasticity (ML_U), BCH, and LTB. For all investigated simulation conditions, t…
Growth Mixture Modeling With Nonnormal Distributions
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality assumption and using data transformation on repeated measures. Based on unconditional GMM with two l…
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…
Profiles of Working Moms’ Daily Time Use
This paper identified latent profiles depending on the patterns of daily time usage amongst working moms in Korea and tested their relations to family- and work-related characteristics. The consequent differences in the levels of leisure attributes were further investigated. Taking a holistic approach, latent profile analysis, one of the person-centered methods, was conducted using data drawn from the seventh year of the Korean Longitudinal Surve…
Psychology (23 obras) · Mathematics (21 obras) · Statistics (21 obras) · Computer Science (17 obras) · Structural equation modeling (16 obras) · Developmental psychology (12 obras) · Econometrics (11 obras) · Social Psychology (10 obras) · Latent class model (8 obras) · Psychometrics (8 obras)