University of Washington
Seattle, Washington – United States
My scientific career is broadly situated in the field of psychological and educational measurement, with specific devotion to methodology advancement that leads to better assessment with higher reliability/fidelity, fairness, and security. I consider myself as a quantitative psychologist whose passion is the improvement of methods for measuring a wide range of psychological and educational variables, as well as developing, refining, and extending methods for analyzing multivariate data that are widely used in the behavioral sciences. The first thrust of my work has been centered on resolving challenges emerged from the wide-ranging implementation of computerized adaptive testing (CAT) that is built on modern item response theory (IRT). The second line of my core research agenda has been focused on developing innovative models/methods to better understand nonlinear relationships among observed and latent variables using state-of-art latent variable methods, including multidimensional and/or multilevel item response theory models, cognitive diagnostic models, and mixture models.
Thursday, November 7
1:30 PM – 2:45 PM