Lab Director


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.

Ke-Hai Yuan
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Graduate Students


Meghan is a fifth year in the Quantitative Psychology PhD program, currently completing her dissertation on Bayesian SEM fit indices PPP and DIC. Her previous research has tackled quantitative issues for substantive researchers, and she has been involved with many collaborations on and off campus in clinical, developmental, and cognitive psychology. 

Meghan Cain
Psychology B.A., Lewis and Clark College
Quantitative Psychology M.A., University of Notre Dame
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Brenna Gomer

Brenna is a first year in the PhD program and a recipient of a Presidential Fellowship from the College of Letters and Sciences. She is interested in developing robust techniques and in interdisciplinary collaborations.

Brenna Gomer
Psychology and Statisics B.A., University of California, Berkeley
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Ge Jiang

Ge Jiang is a fourth year PhD student in the Quantitative Psychology program. Her primary research interests lie in the field of Structural Equation Modeling (SEM), with a focus on test statistics, fit indices, and robust estimation methods. Her other interests include data mining, categorical data analysis, power analysis, and experimental design.


Ge "Gabriella" Jiang
Psychology and Finance, B.A., Central University of Finance and Economics, Beijing, China
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Agung Santoso

Agung SantosoAgung is a fourth year students in the PhD program and a Fulbright grantee from Indonesia. He worked on using quantile regression on real data for his M.A. and currently is extending quantile regression application to mediation analysis. He is also working on the application of equivalence testing, for example to select anchor items for differential item functioning. Child and adolescent development, and teaching effectiveness are substantive topics he is also interested. 

Psychology B.A., University of Gadjah Mada, Yogyakarta, Indonesia
Research, Evaluation, Measurement, and Statistics M.A., University of Georgia, Athens, USA
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Lin Xing

Lin is a second year PhD student. Her research interests are in the areas of structural equation modeling, robust methods, network analysis and statistical learning.

Lin Xing
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Miao (Michelle) Yang

Miao (Michelle) YangMichelle's research interests include structural equation modeling, robust methods, moderation and mediation analysis, and longitudinal data analysis. She is currently interested in empirically optimizing tuning parameter in ridge Generalized Least Squares for structural equation modeling. 

M.S., Mathematical Statistics, University of Cincinnati
B.S., Electrical Engineering, Shanghai Jiao Tong University
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