Li Cai

Li Cai, Ph.D.
Professor of Advanced Quantitative Methodology,
Graduate School of Education and Information Studies
Assistant Professor of Quantitative Psychology,
Department of Psychology
University of California, Los Angeles
Box 951521, 2022A Moore Hall
Los Angeles, CA 90095–1521
Phone: 310-206-0583
Email:

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Li Cai is an Assistant Professor of Advanced Quantitative Methodology in the Graduate School of Education and Information Studies and Assistant Professor of Quantitative Psychology in the Department of Psychology at University of California, Los Angeles (UCLA). He received his Ph.D. in Quantitative Psychology from the L. L. Thurstone Psychometric Lab at the University of North Carolina – Chapel Hill.

Broadly speaking, Li’s methodological research agenda involves the development, integration, and evaluation of innovative latent variable models that have wide-ranging applications in educational, psychological, and health-related domains of study. A key component on this agenda is statistical computing, particularly as related to item response theory (IRT) and multilevel modeling. Starting from 2007, with initial funding from NSF and Educational Testing Service, Li has developed new algorithms that can significantly improve the accuracy and efficiency of parameter estimation for multidimensional IRT models. These methods now form much of the computational basis of Scientific Software International’s new IRT software program (IRTPRO), of which Li is the lead statistical developer.

Li also works on multilevel modeling and has received funding from the Institute of Education Sciences to develop new estimation algorithms and software for nonlinear multilevel latent variable modeling. Li collaborates with substantive researchers at UCLA and RAND on NIDA-funded projects examining measurement issues in substance abuse, treatment, and outcomes research. These substantive collaborations provide the much needed impetus and reality check for Li’s methodological work.

Li is a member of the American Educational Research Association, Association for Psychological Science, National Council on Measurement in Education, and the Psychometric Society. He serves on the editorial board of Journal of Educational and Behavioral Statistics, and reviews for a dozen or so other quantitative methodology and statistics journals such as Psychometrika, Psychological Methods, and Multivariate Behavioral Research.

 
   
   
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