Zhonglin Wen
Biographic Data
| ID | 6247249 |
|---|---|
| NAME | Zhonglin Wen |
| GIVEN NAMES | Zhonglin |
| FAMILY NAME | Wen |
| SIGNATURE | WEN Z |
| AFFILIATIONS | South China Normal University |
| VERIFIED | No |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, but their analyses are challenging. The present paper mathematically derived, empirically compared, and step-by-step demonstrated three types (i.e., 1-1-1, 2-1-1, and 2-2-1) of intensive longitudinal mediation (ILM) analyses based on DSEM and RDSEM mode…
Associations among Challenge Stress, Hindrance Stress, and Employees' Innovative Work Behavior: Mediation Effects of Thriving at Work and Emotional Exhaustion
Employees' innovative work behavior (IWB) is one of the key factors in improving organizational competitiveness. Previous studies show that challenge and hindrance stress can impact employees' IWB, but our understanding of the exact mechanism underlying the impact is still limited. The present study employed four scales (Challenge and Hindrance Stress Scale, Thriving at Work Scale, Chinese Emotional Exhaustion Scale, and Employee Innovative Behav…
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria
To examine relationships between the global construct of multidimensional data and external criteria, bifactor exploratory structural equation modeling (B-ESEM) and traditional methods (e.g., unidimensional confirmatory factor analyses, CFA; parceled CFA; and bifactor models) can be used. We compared their performance in a Monte Carlo simulation study. (a) B-ESEM performed the best, followed by parceled CFA and bifactor models, and the unidimensi…
Longitudinal changes in adolescent adjustment: A latent transition analysis
Longitudinal relationship between prosocial behavior and meaning in life of junior high school students: A three‐wave cross‐lagged study
INTRODUCTION: Despite much cross-sectional research linking prosocial behavior and meaning in life, few studies have investigated the longitudinal relationship between these two constructs. The article examines the bidirectional longitudinal association between prosocial behavior and meaning in life among junior high school students. METHODS: A prospective design was adopted, incorporating three measurement occasions (with approximately 6-month i…
A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models
Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the meth…
Modeling the change trajectory of sleep duration and its associated factors: Based on an 11-year longitudinal survey in China
The quantified yearly change in sleep duration provided insights for the prediction and early warning of insufficient sleep. Public health interventions focusing on slowing down the decrease rates among females and young individuals are warranted
Effects of Cross-loadings on Determining the Number of Factors to Retain
In exploratory factor analysis (EFA), cross-loadings frequently occur in empirical research, but its effects on determining the number of factors to retain are seldom known. In this paper, we analyzed whether and how cross-loadings affected the performance of the parallel analysis (PA), the empirical Kaiser criterion (EKC), the likelihood ratio test (LRT), the comparative fit index (CFI), the Tucker-Lewis index (TLI), and the root mean square err…
Cybervictimization and loneliness among Chinese college students: A moderated mediation model of rumination and online social support
The Total Score With Maximal Reliability and Maximal Criterion Validity: An Illustration Using a Career Satisfaction Measure
The maximal reliability of a congeneric measure is achieved by weighting item scores to form the optimal linear combination as the total score; it is never lower than the composite reliability of the measure when measurement errors are uncorrelated. The statistical method that renders maximal reliability would also lead to maximal criterion validity. Using a career satisfaction measure as an example, the present article calculated the maximal rel…
Monotonicity of effect sizes: Questioning kappa-squared as mediation effect size measure.
Mediation analysis is important for research in psychology and other social and behavioral sciences. Great progress has been made in testing mediation effects and in constructing their confidence intervals. Mediation effect sizes have also been considered. Preacher and Kelley (2011) proposed and recommended κ2 as an effect size measure for a mediation effect. In this article, we argue that κ2 is not an appropriate effect size measure for mediatio…
Analyses of Mediating Effects: The Development of Methods and Models
摘要
Different Methods for Testing Moderated Mediation Models: Competitors or Backups
摘要
Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction.
Interactions between (multiple indicator) latent variables are rarely used because of implementation complexity and competing strategies. Based on 4 simulation studies, the traditional constrained approach performed more poorly than did 3 new approaches--unconstrained, generalized appended product indicator, and quasi-maximum-likelihood (QML). The authors' new unconstrained approach was easiest to apply. All 4 approaches were relatively unbiased …
In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
Goodness-of-fit (GOF) indexes provide "rules of thumb"—recommended cutoff values for assessing fit in structural equation modeling. Hu and Bentler (1999) proposed a more rigorous approach to evaluating decision rules based on GOF indexes and, on this basis, proposed new and more stringent cutoff values for many indexes. This article discusses potential problems underlying the hypothesis-testing rationale of their research, which is more appropria…
Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction.
Interactions between (multiple indicator) latent variables are rarely used because of implementation complexity and competing strategies. Based on 4 simulation studies, the traditional constrained approach performed more poorly than did 3 new approaches--unconstrained, generalized appended product indicator, and quasi-maximum-likelihood (QML). The authors' new unconstrained approach was easiest to apply. All 4 approaches were relatively unbiased …
In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
Goodness-of-fit (GOF) indexes provide "rules of thumb"—recommended cutoff values for assessing fit in structural equation modeling. Hu and Bentler (1999) proposed a more rigorous approach to evaluating decision rules based on GOF indexes and, on this basis, proposed new and more stringent cutoff values for many indexes. This article discusses potential problems underlying the hypothesis-testing rationale of their research, which is more appropria…
Analyses of Mediating Effects: The Development of Methods and Models
摘要
Different Methods for Testing Moderated Mediation Models: Competitors or Backups
摘要
Monotonicity of effect sizes: Questioning kappa-squared as mediation effect size measure.
Mediation analysis is important for research in psychology and other social and behavioral sciences. Great progress has been made in testing mediation effects and in constructing their confidence intervals. Mediation effect sizes have also been considered. Preacher and Kelley (2011) proposed and recommended κ2 as an effect size measure for a mediation effect. In this article, we argue that κ2 is not an appropriate effect size measure for mediatio…
The Total Score With Maximal Reliability and Maximal Criterion Validity: An Illustration Using a Career Satisfaction Measure
The maximal reliability of a congeneric measure is achieved by weighting item scores to form the optimal linear combination as the total score; it is never lower than the composite reliability of the measure when measurement errors are uncorrelated. The statistical method that renders maximal reliability would also lead to maximal criterion validity. Using a career satisfaction measure as an example, the present article calculated the maximal rel…
Effects of Cross-loadings on Determining the Number of Factors to Retain
In exploratory factor analysis (EFA), cross-loadings frequently occur in empirical research, but its effects on determining the number of factors to retain are seldom known. In this paper, we analyzed whether and how cross-loadings affected the performance of the parallel analysis (PA), the empirical Kaiser criterion (EKC), the likelihood ratio test (LRT), the comparative fit index (CFI), the Tucker-Lewis index (TLI), and the root mean square err…
Cybervictimization and loneliness among Chinese college students: A moderated mediation model of rumination and online social support
Modeling the change trajectory of sleep duration and its associated factors: Based on an 11-year longitudinal survey in China
The quantified yearly change in sleep duration provided insights for the prediction and early warning of insufficient sleep. Public health interventions focusing on slowing down the decrease rates among females and young individuals are warranted
A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models
Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the meth…
Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria
To examine relationships between the global construct of multidimensional data and external criteria, bifactor exploratory structural equation modeling (B-ESEM) and traditional methods (e.g., unidimensional confirmatory factor analyses, CFA; parceled CFA; and bifactor models) can be used. We compared their performance in a Monte Carlo simulation study. (a) B-ESEM performed the best, followed by parceled CFA and bifactor models, and the unidimensi…
Longitudinal changes in adolescent adjustment: A latent transition analysis
Longitudinal relationship between prosocial behavior and meaning in life of junior high school students: A three‐wave cross‐lagged study
INTRODUCTION: Despite much cross-sectional research linking prosocial behavior and meaning in life, few studies have investigated the longitudinal relationship between these two constructs. The article examines the bidirectional longitudinal association between prosocial behavior and meaning in life among junior high school students. METHODS: A prospective design was adopted, incorporating three measurement occasions (with approximately 6-month i…
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, but their analyses are challenging. The present paper mathematically derived, empirically compared, and step-by-step demonstrated three types (i.e., 1-1-1, 2-1-1, and 2-2-1) of intensive longitudinal mediation (ILM) analyses based on DSEM and RDSEM mode…
Associations among Challenge Stress, Hindrance Stress, and Employees' Innovative Work Behavior: Mediation Effects of Thriving at Work and Emotional Exhaustion
Employees' innovative work behavior (IWB) is one of the key factors in improving organizational competitiveness. Previous studies show that challenge and hindrance stress can impact employees' IWB, but our understanding of the exact mechanism underlying the impact is still limited. The present study employed four scales (Challenge and Hindrance Stress Scale, Thriving at Work Scale, Chinese Emotional Exhaustion Scale, and Employee Innovative Behav…
Psychology (9 works) · Mathematics (8 works) · Computer Science (7 works) · Psychometric Methodologies and Testing (7 works) · Statistics (7 works) · Econometrics (6 works) · Social Psychology (6 works) · Mediation (5 works) · Structural equation modeling (5 works) · Political science (4 works)