Junhao Pan
Biographic Data
| ID | 4453575 |
|---|---|
| NAME | Junhao Pan |
| GIVEN NAMES | Junhao |
| FAMILY NAME | Pan |
| SIGNATURE | PAN J |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0000-0001-7156-6077 |
| VERIFIED | Yes |
| TOTAL WORKS | 22 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 22 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A Multiscale Collaborative Learning Method on Long-Term Time Series for Cyber-Physical-Social Intelligence
Cyber-physical-social system (CPSS) is an interactive system that combines digital technologies, physical infrastructures, and social dynamics. Within the CPSS framework, coordination of data flows, information flows, and knowledge flows facilitates seamless collaboration across human–machine boundaries. With the development and integration of artificial intelligence, cyber-physical-social intelligence (CPSI) has emerged, facilitating intelligent…
Unraveling Symptom Heterogeneity and Core Features of Adolescent Social Anxiety: Insights From Latent Profile and Network Analyses
To further investigate the heterogeneity of adolescents' social anxiety, a cross‐sectional survey was conducted among 6540 Chinese adolescents aged 11 to 19 years (3294 boys). Latent profile analysis and network analysis were adopted to identify subgroups based on social anxiety symptoms and further reveal core features of each group. Results showed that four subgroups were identified: “Profile 1 ( n = 1,768, 26.8%): the low group with diffuse so…
Measuring Happiness Orientations: Measurement Invariance and Latent Mean Differences Across Countries, Ages, and Sex
Emerging research highlights the significant role of happiness orientations (i.e., preferred and prioritized ways of pursuing happiness) in well-being and psychosocial functioning. Despite the increasing use of the Hedonic, Eudaimonic, and Extrinsic Motives for Activities (HEEMA) scale to measure happiness orientations across diverse populations, evidence is lacking regarding its measurement invariance, which leaves the validity of group comparis…
How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model
Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation
Experiences, challenges, and prospects of promoting digital inclusion of the elderly in China
Purpose The Fourth Industrial Revolution, driven by the Internet, has formed a new digital social ecology. In the dual context of China’s aging demographic structure and the overarching layout and planning of a digital China, there is an urgent need to review its digital policies in bridging the digital divide for the elderly and to identify lessons to be learnt by other countries. Design/methodology/approach This paper is based on a real-life ca…
Comparing Methods for Factor Score Estimation in Structural Equation Modeling: The Role of Network Analysis
Precisely estimating factor scores is challenging, especially when models are mis-specified. Stemming from network analysis, centrality measures offer an alternative approach to estimating the scores. Using a two-fold simulation design with varying availability of a priori theoretical knowledge, this study implemented hybrid centrality to estimate factor scores and compared the performance with traditional methods, where both proper and improper …
Forming intervals of predicted total scores for cut-off scores evaluation: A generalizability theory application with Bootstrapping
Emotion regulation strategies and depression in mother–adolescent dyads: An actor–partner interdependence model approach
Parent–adolescent emotion dynamics have attracted increasing attention in recent years because adolescence is a challenging period for both adolescents and parents. However, how emotions are coconstructed between parents and adolescents is less clear. This study examined whether mothers' and adolescents' emotion regulation strategy was linked with their own and each other's depression using the actor–partner interdependence model (APIM). The part…
A tutorial on Bayesian structural equation modelling: Principles and applications
This paper explores the utilisation of Bayesian structural equation modelling (BSEM) in psychology, highlighting its advantages over frequentist methods for handling complex models and small sample sizes. Basic concepts and fundamental issues relevant to BSEM are introduced, such as prior setting, model convergence, and model fit evaluation and so on. The paper also provides illustrative examples of commonly employed BSEMs, including confirmatory…
Maternal supportive responses to adolescents' negative emotions serve as protective factors for adolescents' hostile attribution bias longitudinally
Existing literature has documented that parenting links to children's hostile attribution biases (HAB). However, little is known about the role played by parental emotion socialization in children's HAB. To address this research gap, the present study investigated the role of parental responses to children's negative emotions (PRCNE) in predicting adolescents' HAB using a longitudinal study. Adolescents ( N = 203; M age = 13.61 years old at Time …
Using Item Response Theory to Develop a Shortened Version of the Penn State Worry Questionnaire for Children
The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation
Researchers in psychology, education, and organizational behavior often encounter multilevel data with hierarchical structures. Bayesian approach is usually more advantageous than traditional frequentist-based approach in small sample sizes, but it is also more susceptible to the subjective specification of priors. To investigate the potentially detrimental effects of inaccurate prior information on Bayesian approach and compare its performance w…
Children's interpretations of parental responses to children's negative emotions in Chinese urban and rural communities
Children's interpretations of parenting behaviors offer valuable insights into cultural meanings of parenting. This study examined how Chinese urban and rural children interpreted six different types of parental responses to children's negative emotions (PRCNE), which have traditionally been identified as supportive (e.g., emotion‐focused responses, problem‐focused responses, and expressive encouragement ) versus nonsupportive ones (e.g., minimiz…
Evaluation and Comparison of SEM, Esem, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings
Cross-loadings are common in multidimensional instruments; however, they cannot be appropriately addressed in conventional structural equation modeling (SEM) owing to the assumption of zero cross-loadings in standard confirmatory factor analysis (CFA). Although it has been proposed that exploratory structural equation modeling (ESEM) and Bayesian structural equation modeling (BSEM) can address this issue more flexibly, their performance in struct…
Blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis
In confirmatory factor analysis (CFA), post hoc model modification (PMM) indexes are often used to adjust for possible residual correlations between items. Although the approach is useful for improving model goodness-of-fit, it requires an iterative, one-item-pair-at-a-time procedure that can be tedious and prone to error. This paper provides a didactic discussion in the form of a tutorial of a more efficient and practical alternative and its imp…
Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p -value, and Credible Interval
The lasso is a commonly used regularization method that is increasing used in structural equation models (SEMs). Under the Bayesian framework, lasso is rendered more flexible and readily produces estimates of standard errors and the penalty parameter. However, in practice, it remains unclear what decision rule is appropriate for parameter identification; in other words, determining what size estimate is large enough to be included into the model.…
Normality mediates the effect of symmetry on facial attractiveness
Although symmetry, averageness, and sexual dimorphism are usually considered important to facial attractiveness, there are mixed findings regarding whether and how symmetry influences facial attractiveness. The present study introduced "facial normality" to explain the inconsistency of previous research. We hypothesized that symmetry only increased facial attractiveness when it improved facial normality. We manipulated symmetry and normality simu…
China’s Growing Power Makes Its Youth Hawkish? Evidence from the Chinese Youth’s Attitudes toward the US and Japan
Changes in relative power between the rising and dominant state have been consistently recognized as a key contributor to international conflicts, as they can lead to convergence within both societies in threat perceptions of each other. In the case of China, a dominant view assumes that China’s increased power leads to wide social support for nationalism, which unifies the Chinese threat perceptions of key rivals such as the US and Japan. Based …
Trait/Financial Information of Potential Male Mate Eliminates Mate-Choice Copying by Women: Trade-Off Between Social Information and Personal Information in Mate Selection
Effects of overqualification on employees' organizational citizenship behavior: From the perspective of emotion
摘要
Reciprocal Markov Modeling of Feedback Mechanisms Between Emotion and Dietary Choice Using Experience-Sampling Data
With intensively collected longitudinal data, recent advances in the experience-sampling method (ESM) benefit social science empirical research, but also pose important methodological challenges. As traditional statistical models are not generally well equipped to analyze a system of variables that contain feedback loops, this paper proposes the utility of an extended hidden Markov model to model reciprocal the relationship between momentary emot…
Children's interpretations of parental responses to children's negative emotions in Chinese urban and rural communities
Children's interpretations of parenting behaviors offer valuable insights into cultural meanings of parenting. This study examined how Chinese urban and rural children interpreted six different types of parental responses to children's negative emotions (PRCNE), which have traditionally been identified as supportive (e.g., emotion‐focused responses, problem‐focused responses, and expressive encouragement ) versus nonsupportive ones (e.g., minimiz…
China’s Growing Power Makes Its Youth Hawkish? Evidence from the Chinese Youth’s Attitudes toward the US and Japan
Changes in relative power between the rising and dominant state have been consistently recognized as a key contributor to international conflicts, as they can lead to convergence within both societies in threat perceptions of each other. In the case of China, a dominant view assumes that China’s increased power leads to wide social support for nationalism, which unifies the Chinese threat perceptions of key rivals such as the US and Japan. Based …
Reciprocal Markov Modeling of Feedback Mechanisms Between Emotion and Dietary Choice Using Experience-Sampling Data
With intensively collected longitudinal data, recent advances in the experience-sampling method (ESM) benefit social science empirical research, but also pose important methodological challenges. As traditional statistical models are not generally well equipped to analyze a system of variables that contain feedback loops, this paper proposes the utility of an extended hidden Markov model to model reciprocal the relationship between momentary emot…
Effects of overqualification on employees' organizational citizenship behavior: From the perspective of emotion
摘要
Blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis
In confirmatory factor analysis (CFA), post hoc model modification (PMM) indexes are often used to adjust for possible residual correlations between items. Although the approach is useful for improving model goodness-of-fit, it requires an iterative, one-item-pair-at-a-time procedure that can be tedious and prone to error. This paper provides a didactic discussion in the form of a tutorial of a more efficient and practical alternative and its imp…
Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p -value, and Credible Interval
The lasso is a commonly used regularization method that is increasing used in structural equation models (SEMs). Under the Bayesian framework, lasso is rendered more flexible and readily produces estimates of standard errors and the penalty parameter. However, in practice, it remains unclear what decision rule is appropriate for parameter identification; in other words, determining what size estimate is large enough to be included into the model.…
Normality mediates the effect of symmetry on facial attractiveness
Although symmetry, averageness, and sexual dimorphism are usually considered important to facial attractiveness, there are mixed findings regarding whether and how symmetry influences facial attractiveness. The present study introduced "facial normality" to explain the inconsistency of previous research. We hypothesized that symmetry only increased facial attractiveness when it improved facial normality. We manipulated symmetry and normality simu…
China’s Growing Power Makes Its Youth Hawkish? Evidence from the Chinese Youth’s Attitudes toward the US and Japan
Changes in relative power between the rising and dominant state have been consistently recognized as a key contributor to international conflicts, as they can lead to convergence within both societies in threat perceptions of each other. In the case of China, a dominant view assumes that China’s increased power leads to wide social support for nationalism, which unifies the Chinese threat perceptions of key rivals such as the US and Japan. Based …
Trait/Financial Information of Potential Male Mate Eliminates Mate-Choice Copying by Women: Trade-Off Between Social Information and Personal Information in Mate Selection
Evaluation and Comparison of SEM, Esem, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings
Cross-loadings are common in multidimensional instruments; however, they cannot be appropriately addressed in conventional structural equation modeling (SEM) owing to the assumption of zero cross-loadings in standard confirmatory factor analysis (CFA). Although it has been proposed that exploratory structural equation modeling (ESEM) and Bayesian structural equation modeling (BSEM) can address this issue more flexibly, their performance in struct…
The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation
Researchers in psychology, education, and organizational behavior often encounter multilevel data with hierarchical structures. Bayesian approach is usually more advantageous than traditional frequentist-based approach in small sample sizes, but it is also more susceptible to the subjective specification of priors. To investigate the potentially detrimental effects of inaccurate prior information on Bayesian approach and compare its performance w…
Children's interpretations of parental responses to children's negative emotions in Chinese urban and rural communities
Children's interpretations of parenting behaviors offer valuable insights into cultural meanings of parenting. This study examined how Chinese urban and rural children interpreted six different types of parental responses to children's negative emotions (PRCNE), which have traditionally been identified as supportive (e.g., emotion‐focused responses, problem‐focused responses, and expressive encouragement ) versus nonsupportive ones (e.g., minimiz…
Comparing Methods for Factor Score Estimation in Structural Equation Modeling: The Role of Network Analysis
Precisely estimating factor scores is challenging, especially when models are mis-specified. Stemming from network analysis, centrality measures offer an alternative approach to estimating the scores. Using a two-fold simulation design with varying availability of a priori theoretical knowledge, this study implemented hybrid centrality to estimate factor scores and compared the performance with traditional methods, where both proper and improper …
Forming intervals of predicted total scores for cut-off scores evaluation: A generalizability theory application with Bootstrapping
Emotion regulation strategies and depression in mother–adolescent dyads: An actor–partner interdependence model approach
Parent–adolescent emotion dynamics have attracted increasing attention in recent years because adolescence is a challenging period for both adolescents and parents. However, how emotions are coconstructed between parents and adolescents is less clear. This study examined whether mothers' and adolescents' emotion regulation strategy was linked with their own and each other's depression using the actor–partner interdependence model (APIM). The part…
A tutorial on Bayesian structural equation modelling: Principles and applications
This paper explores the utilisation of Bayesian structural equation modelling (BSEM) in psychology, highlighting its advantages over frequentist methods for handling complex models and small sample sizes. Basic concepts and fundamental issues relevant to BSEM are introduced, such as prior setting, model convergence, and model fit evaluation and so on. The paper also provides illustrative examples of commonly employed BSEMs, including confirmatory…
Maternal supportive responses to adolescents' negative emotions serve as protective factors for adolescents' hostile attribution bias longitudinally
Existing literature has documented that parenting links to children's hostile attribution biases (HAB). However, little is known about the role played by parental emotion socialization in children's HAB. To address this research gap, the present study investigated the role of parental responses to children's negative emotions (PRCNE) in predicting adolescents' HAB using a longitudinal study. Adolescents ( N = 203; M age = 13.61 years old at Time …
Using Item Response Theory to Develop a Shortened Version of the Penn State Worry Questionnaire for Children
How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model
Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation
Experiences, challenges, and prospects of promoting digital inclusion of the elderly in China
Purpose The Fourth Industrial Revolution, driven by the Internet, has formed a new digital social ecology. In the dual context of China’s aging demographic structure and the overarching layout and planning of a digital China, there is an urgent need to review its digital policies in bridging the digital divide for the elderly and to identify lessons to be learnt by other countries. Design/methodology/approach This paper is based on a real-life ca…
A Multiscale Collaborative Learning Method on Long-Term Time Series for Cyber-Physical-Social Intelligence
Cyber-physical-social system (CPSS) is an interactive system that combines digital technologies, physical infrastructures, and social dynamics. Within the CPSS framework, coordination of data flows, information flows, and knowledge flows facilitates seamless collaboration across human–machine boundaries. With the development and integration of artificial intelligence, cyber-physical-social intelligence (CPSI) has emerged, facilitating intelligent…
Unraveling Symptom Heterogeneity and Core Features of Adolescent Social Anxiety: Insights From Latent Profile and Network Analyses
To further investigate the heterogeneity of adolescents' social anxiety, a cross‐sectional survey was conducted among 6540 Chinese adolescents aged 11 to 19 years (3294 boys). Latent profile analysis and network analysis were adopted to identify subgroups based on social anxiety symptoms and further reveal core features of each group. Results showed that four subgroups were identified: “Profile 1 ( n = 1,768, 26.8%): the low group with diffuse so…
Measuring Happiness Orientations: Measurement Invariance and Latent Mean Differences Across Countries, Ages, and Sex
Emerging research highlights the significant role of happiness orientations (i.e., preferred and prioritized ways of pursuing happiness) in well-being and psychosocial functioning. Despite the increasing use of the Hedonic, Eudaimonic, and Extrinsic Motives for Activities (HEEMA) scale to measure happiness orientations across diverse populations, evidence is lacking regarding its measurement invariance, which leaves the validity of group comparis…
Computer Science (12 works) · Psychology (12 works) · Mathematics (11 works) · Statistics (10 works) · Econometrics (8 works) · Social Psychology (8 works) · Bayesian probability (7 works) · Artificial Intelligence (6 works) · Structural equation modeling (6 works) · Advanced Statistical Modeling Techniques (5 works)