Jinsong Chen
Biographic Data
| ID | 3916182 |
|---|---|
| NAME | Jinsong Chen |
| GIVEN NAMES | Jinsong |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN J |
| AFFILIATIONS | University of Hong Kong |
| ORCID | 0000-0002-0157-5469 |
| VERIFIED | Yes |
| TOTAL WORKS | 25 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 25 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Alternative Bayesian Regularizations for Factor Correlations and Loadings
We embed Bayesian graphical modeling within partially confirmatory factor analysis (PCFA) to estimate sparse latent factor correlations, thereby overcoming the limitations of the inverse-Wishart prior. We regularize the factor correlation matrix using graphical lasso, horseshoe, and spike-and-slab priors, yielding a unified framework that applies sparsity to loadings and factor correlations. For complex structures, we further introduce partial re…
Governing the rise of AI in healthcare
Evaluation of a gamified digital intervention programme for self-management of chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) imposes a substantial health burden, and while digital health tools such as mHealth apps offer promise for supporting self-management, their effectiveness hinges on usability and user acceptance. This paper describes the protocol for a usability testing study to evaluate the usability among individuals with COPD who use a gamified intervention (‘HooHoo Frog’) to transform conventional breathing exercis…
Empowerment-based case management for treatment-resistant schizophrenia
This case report describes the implementation and observed outcomes of an empowerment-oriented case management approach in a patient with treatment-resistant schizophrenia (TRS), addressing the limitations of conventional approaches that often neglect patient autonomy and subjective agency. Through the implementation of a multidisciplinary, four-dimensional empowerment framework-comprising pathological treatment, psychological cognition, social e…
Impacts of a Church-Based Positive Psychological Intervention in Spanish-Speaking Hispanics/Latinos with Uncontrolled Hypertension
Regularized Variational Approximation for Partially Confirmatory Factor Analysis
The recently developed partially confirmatory factor analysis (PCFA) framework offers a promising solution that effectively accommodates varying levels of available knowledge, blending the strengths of both data- and theory-driven approaches. Nevertheless, its reliance on Markov Chain Monte Carlo (MCMC) techniques for parameter estimation often comes with challenges due to its computationally intensive nature and issues related to convergence. To…
Unlocking the power of algorithmic recommendations
Regularized Variational Bayesian Approximations for Variable Selection in Extended Multiple-Indicators Multiple-Causes Models
Variable selection in structural equation modeling has merged as a new concern in social and psychological studies. Researchers often aim to strike a balance between achieving predictive accuracy and fostering parsimonious explanations by identifying the most informative variables. While recent developments in Bayesian regularization methods offer promising solutions to promote model sparsity with much fewer "active" variables, their computationa…
AI anxiety and knowledge payment
AI anxiety positively influences payment for knowledge, with critical roles for perceived value and self-efficacy. These findings offer a new framework for understanding AI anxiety's impact on consumer behavior and provide actionable insights for platforms and policymakers
Profiles of Structural Violence in Hispanic/Latino Immigrant and Non-Immigrant Parents
This study provides critical insights into the pervasive structural violence and compounded stress experienced by Hispanic/Latino caregivers, a population disproportionately impacted by systemic inequities that can adversely affect overall well-being. We analyzed data from the Hispanic Community Health Study/Study of Latinos Youth (n = 458) to identify structural violence exposure patterns among Hispanic/Latino caregivers/parents and examine how …
Pamt
Semisupervised node classification on attributed networks is a crucial task for network analysis. By decoupling two critical operations in graph convolutional networks (GCNs), namely feature transformation and neighborhood aggregation, recent works of decoupled GCNs could support the information to propagate deeper and achieve advanced performance on node classification. However, they follow the structure-aware propagation strategy of GCNs, makin…
The impact of differential pricing subject on consumer behavior
The escalating use of artificial intelligence in marketing significantly impacts all aspects of consumer life. This research, grounded in attribution theory and S-O-R theory, employs scenario-based experimental methods to simulate two distinct purchasing contexts. The aim is to investigate consumers' psychological and behavioral responses to AI-initiated pricing. Through SPSS analysis of variance and Bootstrap analysis, the mechanisms of influenc…
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos
Literatur Kompakt
Reviewed by: Literatur Kompakt: Thomas Bernhard by Axel Diller Jinsong Chen Axel Diller, Literatur Kompakt: Thomas Bernhard. Baden-Baden: Tectum Wissenschaftverlag, 2021. 238 pp. For decades, Thomas Bernhard, both as a man and as a controversial writer, has been widely discussed in literary studies. Due to the scandals he repeatedly provoked during his lifetime, Bernhard was stigmatized as a Nestbeschmutzer and an enfant terrible because of his v…
Ideal Cardiovascular Health in Mexican Adults with CKD Living in Mexico City Versus Chicago
Family influences on older adults' problem drinking
Aim: It is reported that problem drinking is severe among the elderly. The family environment has been regarded as a significant effecting factor in alcohol consumption of the drinker. With the increasing number of older people, paying more attention to this vulnerable group's drinking status and its' influencing factors is substantial for improving older adults' health and the quality of health services. Methods: This study used data from the Ch…
Partially Confirmatory Approach to Factor Analysis with Bayesian Learning
Different from traditional practice that considers factor analysis as either exploratory or confirmatory, different amounts of substantive information can be available in between the confirmatory and exploratory extremes under the partially confirmatory approach. Based on Bayesian Lasso methods, three models were recently proposed for various types of data under the new approach: the partially confirmatory factor analysis (PCFA), generalized PCFA…
A Generalized Partially Confirmatory Factor Analysis Framework with Mixed Bayesian Lasso Methods
This research extends the partially confirmatory approach to accommodate mixed types of data and missingness in a unified framework that can address a wide range of the confirmatory-exploratory continuum in factor analysis. A mix of Bayesian adaptive and covariance Lasso procedures was developed to estimate model parameters and regularize the loading structure and local dependence simultaneously. Several model variants were offered with different…
Developmental disparities in sedentary time by period of the day among US youth
Our data provide interventionists with estimates of the potential for ST reduction in each setting and period of the day among US adolescents. Future research should gather information about the barriers and facilitators of ST in adolescents by period of the day to help understand factors driving disparities
Elfriede Jelinek und Thomas Bernhard
Reviewed by: Elfriede Jelinek und Thomas Bernhard: Intertextualität—Korrelationen—Korrespondenzen ed. by Bastian Reinert and Clemens Götze Jinsong Chen Bastian Reinert and Clemens Götze, eds., Elfriede Jelinek und Thomas Bernhard: Intertextualität—Korrelationen—Korrespondenzen Untersuchungen zur deutschen Literaturgeschichte 154 Berlin/Boston: De Gruyter, 2019. 274 pp. Thomas Bernhard and Elfriede Jelinek, two controversial and highly acclaimed w…
A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step
This research proposes a one-step Bayesian regularized approach to exploratory factor analysis (EFA) with an unknown number of factors. The proposed Bayesian regularized exploratory factor analysis (BREFA) model builds on the idea of bi-level Bayesian sparse group selection and can produce exact zero estimates at both the factor and loading levels. It can distinguish true factors from spurious factors and provide estimations of model and tuning p…
Investigating the Relationships Between Listening Skills and Genre Competence Through Cognitive Diagnosis Approach
Although research on listening skills has been frequently conducted to discover the nature of listening comprehension, there is little study about listening genre competence which is related with knowledge about listening text types. In order to find out whether listening skills and listening genre competence are related, cognitive diagnosis, a quantitative method to disclose finer-grained latent attributes, was adopted in this study. The general…
Thomas Bernhards Prosa
Reviewed by: Thomas Bernhards Prosa: Krise der Sprache und des dialogischen Wortes by Sergej Taškenov Jinsong Chen Sergej Taškenov, Thomas Bernhards Prosa: Krise der Sprache und des dialogischen Wortes. München: Wilhelm Fink, 2019. 152 pp. In the Tractatus Logico-Philosophicus (1918), Ludwig Wittgenstein, one of Thomas Bernhards favorite philosophers, sketched out a new way for scholars and critics to think about the relationship between the stru…
Real-world unassisted quit success and related contextual factors
The vast majority of Chinese male smokers rely on unassisted methods to quit smoking. Success prevalence is high, which is very beneficial to health. This study suggests that exposure to secondhand smoking and tobacco advertising hinders the success of unassisted cessation. These findings speak to the need for environmental tobacco control measures to promote unassisted smoking cessation among Chinese adult male smokers
Introducing a flexible approach to test validity based on a context-specific construct
Although validity is acknowledged as the most fundamental consideration in psychological and educational testing, there is disagreement stemming from two different approaches: the ontological vs. the epistemological. This article introduces a flexible approach to test validity based on context-specific constructs, which can accommodate the two existing approaches conceptually. Based on the test foundation and rationale, a unique construct domain …
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Introducing a flexible approach to test validity based on a context-specific construct
Although validity is acknowledged as the most fundamental consideration in psychological and educational testing, there is disagreement stemming from two different approaches: the ontological vs. the epistemological. This article introduces a flexible approach to test validity based on context-specific constructs, which can accommodate the two existing approaches conceptually. Based on the test foundation and rationale, a unique construct domain …
Thomas Bernhards Prosa
Reviewed by: Thomas Bernhards Prosa: Krise der Sprache und des dialogischen Wortes by Sergej Taškenov Jinsong Chen Sergej Taškenov, Thomas Bernhards Prosa: Krise der Sprache und des dialogischen Wortes. München: Wilhelm Fink, 2019. 152 pp. In the Tractatus Logico-Philosophicus (1918), Ludwig Wittgenstein, one of Thomas Bernhards favorite philosophers, sketched out a new way for scholars and critics to think about the relationship between the stru…
Real-world unassisted quit success and related contextual factors
The vast majority of Chinese male smokers rely on unassisted methods to quit smoking. Success prevalence is high, which is very beneficial to health. This study suggests that exposure to secondhand smoking and tobacco advertising hinders the success of unassisted cessation. These findings speak to the need for environmental tobacco control measures to promote unassisted smoking cessation among Chinese adult male smokers
Elfriede Jelinek und Thomas Bernhard
Reviewed by: Elfriede Jelinek und Thomas Bernhard: Intertextualität—Korrelationen—Korrespondenzen ed. by Bastian Reinert and Clemens Götze Jinsong Chen Bastian Reinert and Clemens Götze, eds., Elfriede Jelinek und Thomas Bernhard: Intertextualität—Korrelationen—Korrespondenzen Untersuchungen zur deutschen Literaturgeschichte 154 Berlin/Boston: De Gruyter, 2019. 274 pp. Thomas Bernhard and Elfriede Jelinek, two controversial and highly acclaimed w…
A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step
This research proposes a one-step Bayesian regularized approach to exploratory factor analysis (EFA) with an unknown number of factors. The proposed Bayesian regularized exploratory factor analysis (BREFA) model builds on the idea of bi-level Bayesian sparse group selection and can produce exact zero estimates at both the factor and loading levels. It can distinguish true factors from spurious factors and provide estimations of model and tuning p…
Investigating the Relationships Between Listening Skills and Genre Competence Through Cognitive Diagnosis Approach
Although research on listening skills has been frequently conducted to discover the nature of listening comprehension, there is little study about listening genre competence which is related with knowledge about listening text types. In order to find out whether listening skills and listening genre competence are related, cognitive diagnosis, a quantitative method to disclose finer-grained latent attributes, was adopted in this study. The general…
Family influences on older adults' problem drinking
Aim: It is reported that problem drinking is severe among the elderly. The family environment has been regarded as a significant effecting factor in alcohol consumption of the drinker. With the increasing number of older people, paying more attention to this vulnerable group's drinking status and its' influencing factors is substantial for improving older adults' health and the quality of health services. Methods: This study used data from the Ch…
Partially Confirmatory Approach to Factor Analysis with Bayesian Learning
Different from traditional practice that considers factor analysis as either exploratory or confirmatory, different amounts of substantive information can be available in between the confirmatory and exploratory extremes under the partially confirmatory approach. Based on Bayesian Lasso methods, three models were recently proposed for various types of data under the new approach: the partially confirmatory factor analysis (PCFA), generalized PCFA…
A Generalized Partially Confirmatory Factor Analysis Framework with Mixed Bayesian Lasso Methods
This research extends the partially confirmatory approach to accommodate mixed types of data and missingness in a unified framework that can address a wide range of the confirmatory-exploratory continuum in factor analysis. A mix of Bayesian adaptive and covariance Lasso procedures was developed to estimate model parameters and regularize the loading structure and local dependence simultaneously. Several model variants were offered with different…
Developmental disparities in sedentary time by period of the day among US youth
Our data provide interventionists with estimates of the potential for ST reduction in each setting and period of the day among US adolescents. Future research should gather information about the barriers and facilitators of ST in adolescents by period of the day to help understand factors driving disparities
Literatur Kompakt
Reviewed by: Literatur Kompakt: Thomas Bernhard by Axel Diller Jinsong Chen Axel Diller, Literatur Kompakt: Thomas Bernhard. Baden-Baden: Tectum Wissenschaftverlag, 2021. 238 pp. For decades, Thomas Bernhard, both as a man and as a controversial writer, has been widely discussed in literary studies. Due to the scandals he repeatedly provoked during his lifetime, Bernhard was stigmatized as a Nestbeschmutzer and an enfant terrible because of his v…
Ideal Cardiovascular Health in Mexican Adults with CKD Living in Mexico City Versus Chicago
Pamt
Semisupervised node classification on attributed networks is a crucial task for network analysis. By decoupling two critical operations in graph convolutional networks (GCNs), namely feature transformation and neighborhood aggregation, recent works of decoupled GCNs could support the information to propagate deeper and achieve advanced performance on node classification. However, they follow the structure-aware propagation strategy of GCNs, makin…
The impact of differential pricing subject on consumer behavior
The escalating use of artificial intelligence in marketing significantly impacts all aspects of consumer life. This research, grounded in attribution theory and S-O-R theory, employs scenario-based experimental methods to simulate two distinct purchasing contexts. The aim is to investigate consumers' psychological and behavioral responses to AI-initiated pricing. Through SPSS analysis of variance and Bootstrap analysis, the mechanisms of influenc…
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos
Impacts of a Church-Based Positive Psychological Intervention in Spanish-Speaking Hispanics/Latinos with Uncontrolled Hypertension
Regularized Variational Approximation for Partially Confirmatory Factor Analysis
The recently developed partially confirmatory factor analysis (PCFA) framework offers a promising solution that effectively accommodates varying levels of available knowledge, blending the strengths of both data- and theory-driven approaches. Nevertheless, its reliance on Markov Chain Monte Carlo (MCMC) techniques for parameter estimation often comes with challenges due to its computationally intensive nature and issues related to convergence. To…
Unlocking the power of algorithmic recommendations
Regularized Variational Bayesian Approximations for Variable Selection in Extended Multiple-Indicators Multiple-Causes Models
Variable selection in structural equation modeling has merged as a new concern in social and psychological studies. Researchers often aim to strike a balance between achieving predictive accuracy and fostering parsimonious explanations by identifying the most informative variables. While recent developments in Bayesian regularization methods offer promising solutions to promote model sparsity with much fewer "active" variables, their computationa…
AI anxiety and knowledge payment
AI anxiety positively influences payment for knowledge, with critical roles for perceived value and self-efficacy. These findings offer a new framework for understanding AI anxiety's impact on consumer behavior and provide actionable insights for platforms and policymakers
Profiles of Structural Violence in Hispanic/Latino Immigrant and Non-Immigrant Parents
This study provides critical insights into the pervasive structural violence and compounded stress experienced by Hispanic/Latino caregivers, a population disproportionately impacted by systemic inequities that can adversely affect overall well-being. We analyzed data from the Hispanic Community Health Study/Study of Latinos Youth (n = 458) to identify structural violence exposure patterns among Hispanic/Latino caregivers/parents and examine how …
Alternative Bayesian Regularizations for Factor Correlations and Loadings
We embed Bayesian graphical modeling within partially confirmatory factor analysis (PCFA) to estimate sparse latent factor correlations, thereby overcoming the limitations of the inverse-Wishart prior. We regularize the factor correlation matrix using graphical lasso, horseshoe, and spike-and-slab priors, yielding a unified framework that applies sparsity to loadings and factor correlations. For complex structures, we further introduce partial re…
Governing the rise of AI in healthcare
Evaluation of a gamified digital intervention programme for self-management of chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) imposes a substantial health burden, and while digital health tools such as mHealth apps offer promise for supporting self-management, their effectiveness hinges on usability and user acceptance. This paper describes the protocol for a usability testing study to evaluate the usability among individuals with COPD who use a gamified intervention (‘HooHoo Frog’) to transform conventional breathing exercis…
Empowerment-based case management for treatment-resistant schizophrenia
This case report describes the implementation and observed outcomes of an empowerment-oriented case management approach in a patient with treatment-resistant schizophrenia (TRS), addressing the limitations of conventional approaches that often neglect patient autonomy and subjective agency. Through the implementation of a multidisciplinary, four-dimensional empowerment framework-comprising pathological treatment, psychological cognition, social e…
Computer Science (10 works) · Artificial Intelligence (7 works) · Mathematics (7 works) · Psychology (7 works) · Bayesian probability (6 works) · Medicine (6 works) · Gerontology (5 works) · Machine learning (5 works) · Public health (5 works) · Statistical Methods and Bayesian Inference (5 works)