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Yonglin Feng

Biographic Data

ID9505740
NAMEYonglin Feng
GIVEN NAMESYonglin
FAMILY NAMEFeng
SIGNATUREFENG Y
AFFILIATIONSDepartment of Psychology Sun Yat‐Sen University Guangzhou P. R. China
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model

    Open Access•Yonglin Feng, Junhao Pan•ARTICLE•Fudan Journal of the Humanities…•2025

  • A tutorial on Bayesian structural equation modelling: Principles and applications

    Open Access•Qijin Chen, Kun Su et al.•ARTICLE•International Journal of Psychology•2024

    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…

No prominent works on this page.

  • A tutorial on Bayesian structural equation modelling: Principles and applications

    Open Access•Qijin Chen, Kun Su et al.•ARTICLE•International Journal of Psychology•2024

    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…

  • How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model

    Open Access•Yonglin Feng, Junhao Pan•ARTICLE•Fudan Journal of the Humanities…•2025

Advanced Statistical Modeling Techniques (2 works) · Bayesian inference (2 works) · Bayesian probability (2 works) · Computer Science (2 works) · Psychometric Methodologies and Testing (2 works) · Structural equation modeling (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Bayes factor (1 works) · Confirmatory factor analysis (1 works)

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