Advanced Quantitative Methods in Education Research

Core Faculty

	Li Cai Assistant Professor, Department of Education 2331 Moore Hall lcai@ucla.edu Research Interests: psychometrics, latent variable models, item response theory, nonlinear models, statistical computation
Curriculum Vitae	CAI CV in PDF format
Website	http://lcai.bol.ucla.edu
Research/Scholarship	Education Ph.D., Quantitative Psychology, 2008, University of North Carolina M.S., Mathematical Statistics, 2006, University of North Carolina M.A., Journalism & Communication, 2003, The Ohio State University B.A., Business Communication, 2001, Nanjing University
Professor Li Cai on the benefits of a degree in Advanced Quantitative Methods (AQM)	"Many decisions on educational policy are influenced, in one way or another, by data analysis and quantitative results based on a statistical model. Estimating the parameters of the model accurately is a prerequisite for drawing sound conclusions from the results. In the AQM program at UCLA, you will not only learn the advanced modeling techniques but also have the opportunity to develop new methods so that you and your future colleagues may improve the quality of quantitative research in educational assessment, research, and policy analysis."