Ke-Hai Yuan's research has been around  developing better or more valid methods for analyzing messy data or nonstandard samples in social and behavioral sciences. Most of his work is on factor analysis, structural equation modeling, and multilevel modeling. He has also worked on correlations, regression, combining effect sizes, mean comparison and power, classical and modern testing theory, statistical computation, and estimating equations. His teaching interests include psychometric theory, structural equation modeling, item response theory, missing data, asymptotics and simulation based research methodology.

Recent Publications

Deng, L., & Yuan, K.-H. (in press). Comparing latent means without mean structure models:  A projection-based approach. Psychometrika

Yuan, K.-H. (in press). Meta analytical structural equation modeling: Comments on issues with current methods and viable alternatives. Research Synthesis Methods.

Yuan, K.-H., & Bentler, P. M. (in press). Improving the convergence rate and speed of Fisher-scoring algorithm: Ridge and anti-ridge methods in structural equation modeling. Annals of the Institute of Statistical Mathematics.

Yuan, K.-H., & Chan, W. (in press). Measurement invariance via multi-group SEM: Issues and solutions with chi-square-difference tests. Psychological Methods.

Yuan, K.-H., Chan, W., Marcoulides, G. A., & Bentler, P. M. (in press). Assessing structural equation models by equivalence testing with adjusted fit indices. Structural Equation Modeling.

Zhang, Z., & Yuan, K.-H. (in press). Robust coefficients alpha and omega and confidence intervals with outlying observations and missing data: Methods and software. Educational and Psychological Measurement.

View Curriculum VItae (PDF)

Contact Information
Office: 123A Haggar Hall
Notre Dame, Indiana 46556
Phone: (574) 631-4619