All Stories

  1. A systematic framework for defining R-squared measures in mediation analysis.

    Article • Psychological Methods, May 2023, American Psychological Association (APA)

    Ke-Hai Yuan

  2. New measures of effect size in moderation analysis.

    Article • Psychological Methods, December 2021, American Psychological Association (APA)

    Ke-Hai Yuan

  3. Subtypes of the missing not at random missing data mechanism.

    Article • Psychological Methods, October 2021, American Psychological Association (APA)

    Ke-Hai Yuan

  4. Regression Analysis with Latent Variables by Partial Least Squares and Four Other Composite Scores: Consistency, Bias and Correction

    Article • Structural Equation Modeling A Multidisciplinary Journal, September 2019, Taylor & Francis

    Ke-Hai Yuan

  5. Mean and Variance Corrected Test Statistics for Structural Equation Modeling with Many Variables

    Article • Structural Equation Modeling A Multidisciplinary Journal, May 2019, Taylor & Francis

    Ke-Hai Yuan

  6. What Causes the Mean Bias of the Likelihood Ratio Statistic with Many Variables?

    Article • Multivariate Behavioral Research, April 2019, Taylor & Francis

    Ke-Hai Yuan

  7. New Effect Size Measures for Sructural Equation Modeling

    Article • Structural Equation Modeling A Multidisciplinary Journal, December 2018, Taylor & Francis

    Ke-Hai Yuan

  8. Fit indices for mean structures

    Article • Psychological Methods, October 2018, American Psychological Association (APA)

    Ke-Hai Yuan

  9. Meta-Analytical SEM: Equivalence Between Maximum Likelihood and Generalized Least Squares

    Article • Journal of Educational and Behavioral Statistics, August 2018, American Educational Research Association (AERA)

    Ke-Hai Yuan

  10. Optimizing Ridge Generalized Least Squares for Structural Equation Modeling

    Article • Structural Equation Modeling A Multidisciplinary Journal, July 2018, Taylor & Francis

    Ke-Hai Yuan