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Mathematics

D-Index
50
Citations
12558
World Ranking
1066
National Ranking
496

Overview

Ke-Hai Yuan is affiliated with the University of Notre Dame in the United States. Their primary research focus lies within the field of Mathematics, with significant contributions to Statistics and Probability. Their work also spans Management Science and Operations Research, Computer Networks and Communications, as well as Social Psychology and Experimental and Cognitive Psychology.

Their main topics of research include:

  • Psychometric Methodologies and Testing
  • Advanced Statistical Modeling Techniques
  • Advanced Statistical Methods and Models
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Sensory Analysis and Statistical Methods
  • Advanced Causal Inference Techniques

Ke-Hai Yuan has published extensively in various academic journals. The most frequent venues for their publications are:

  • Structural Equation Modeling A Multidisciplinary Journal
  • Psychological Methods
  • British Journal of Mathematical and Statistical Psychology
  • Personality and Individual Differences
  • Behavior Research Methods

Their recent papers include:

  • "Callous-Unemotional traits and cyberbullying perpetration: The mediating role of moral disengagement and the moderating role of empathy" (2020), Personality and Individual Differences
  • "Effects of Cross-loadings on Determining the Number of Factors to Retain" (2020), Structural Equation Modeling A Multidisciplinary Journal
  • "Childhood psychological maltreatment and moral disengagement: A moderated mediation model of callous-unemotional traits and empathy" (2020), Personality and Individual Differences
  • "Which method is more powerful in testing the relationship of theoretical constructs? A meta comparison of structural equation modeling and path analysis with weighted composites" (2022), Behavior Research Methods
  • "New measures of effect size in moderation analysis." (2020), Psychological Methods

Ke-Hai Yuan collaborates regularly with several coauthors, including:

  • Hongyun Liu
  • Brenna Gomer
  • Katerina M. Marcoulides
  • Zhonglin Wen
  • Lifang Deng

Best Publications

  • Three Likelihood-Based Methods For Mean and Covariance Structure Analysis With Nonnormal Missing Data

    Ke-Hai Yuan;Peter M. Bentler

  • Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation

    Meghan K. Cain;Zhiyong Zhang;Ke-Hai Yuan

  • Structural Equation Modeling with Small Samples: Test Statistics.

    Peter M. Bentler;Ke-Hai Yuan

  • Fit Indices Versus Test Statistics

    Ke-Hai Yuan

  • Normal theory based test statistics in structural equation modelling

    Ke-Hai Yuan;Peter M. Bentler

  • On Chi-Square Difference and z Tests in Mean and Covariance Structure Analysis when the Base Model is Misspecified:

    Ke-Hai Yuan;Peter M. Bentler

  • Mean and Covariance Structure Analysis: Theoretical and Practical Improvements

    Ke-Hai Yuan;Peter M. Bentler

  • The Effect of Skewness and Kurtosis on Mean and Covariance Structure Analysis The Univariate Case and Its Multivariate Implication

    Ke-Hai Yuan;Peter M. Bentler;Wei Zhang

  • Assessing Structural Equation Models by Equivalence Testing With Adjusted Fit Indexes

    Ke-Hai Yuan;Wai Chan;George A. Marcoulides;Peter M. Bentler

  • On the post hoc power in testing mean differences

    Ke-Hai Yuan;Scott Maxwell

  • Robust Coefficients Alpha and Omega and Confidence Intervals With Outlying Observations and Missing Data Methods and Software

    Zhiyong Zhang;Ke-Hai Yuan

  • On Averaging Variables in a Confirmatory Factor Analysis Model

    Ke-Hai Yuan;Peter M. Bentler;Yutaka Kano

  • Bootstrap approach to inference and power analysis based on three test statistics for covariance structure models

    Ke-Hai Yuan;Kentaro Hayashi

  • Structural Equation Modeling With Robust Covariances

    Ke-Hai Yuan;Peter M. Bentler

  • Measurement invariance via multigroup SEM: Issues and solutions with chi-square-difference tests.

    Ke-Hai Yuan;Wai Chan

  • 10 Structural Equation Modeling

    Ke-Hai Yuan;Peter M. Bentler

  • Robust mean and covariance structure analysis.

    Ke-Hai Yuan;Peter M. Bentler

  • Robust transformation with applications to structural equation modelling.

    Ke-Hai Yuan;Wai Chan;Peter M. Bentler

  • New Ways to Evaluate Goodness of Fit: A Note on Using Equivalence Testing to Assess Structural Equation Models

    Katerina M. Marcoulides;Ke Hai Yuan

  • ML Versus MI for Missing Data With Violation of Distribution Conditions

    Ke-Hai Yuan;Fan Yang-Wallentin;Peter M. Bentler

  • Asymptotics of Estimating Equations under Natural Conditions

    Ke-Hai Yuan;Robert I. Jennrich

Frequent Co-Authors

Peter M. Bentler
Peter M. Bentler University of California, Los Angeles
Kai-Tai Fang
Kai-Tai Fang Beijing Normal University
Scott E. Maxwell
Scott E. Maxwell University of Notre Dame
Bert Hayslip
Bert Hayslip University of North Texas
George A. Marcoulides
George A. Marcoulides University of California, Santa Barbara
Kit-Tai Hau
Kit-Tai Hau Chinese University of Hong Kong
Brad J. Bushman
Brad J. Bushman The Ohio State University
Chrystyna D. Kouros
Chrystyna D. Kouros Southern Methodist University
Steven P. Reise
Steven P. Reise University of California, Los Angeles
Robert I. Jennrich
Robert I. Jennrich University of California, Los Angeles

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