UC Davis offers a wealth of opportunities for training in quantitative psychology. This program is an applied quantitative program, with emphasis on linear models and psychometrics. The program covers standard topics, such as experimental design and the analysis of variance, regression analysis, and multivariate analysis. More advanced courses are offered in the areas of structural equation modeling, factor analysis, hierarchical linear and nonlinear modeling, and psychometric theory. Research by faculty includes both the development of new techniques in the areas of hierarchical modeling, structural equation modeling, and factor analysis as well as the application of these techniques to the study of several domains of behavior, including cognitive or intellectual development and health behaviors. We offer students a stimulating and congenial work atmosphere. There are excellent field, laboratory, computer and library facilities as well as exceptional colleagues in other areas of psychology and ancillary sciences.
UC Davis is a world-class research university. The Psychology Department contains five major "areas": Developmental, Social-Personality, Biological Psychology, Perception-Cognition, and Quantitative Boundaries between the areas are fluid and students are encouraged to take seminars in all five.
Davis itself and the surrounding area offer rich intellectual, cultural and recreational opportunities. The campus is located about 15 miles from Sacramento (the state capital), roughly 50 miles from the Napa and Sonoma valleys (wine country), 72 miles from the Bay Area (Berkeley and San Francisco), and about 150 miles from such spectacular resort and wilderness areas as Lake Tahoe and Yosemite.
Link to: Quantitative BrownBag Series
- (Associate Professor, Ph.D., University of Minnesota, Twin Cities, 1998)
Mixed-effects models, structured latent curve models, factor analysis, and analysis of longitudinal data.
- (Professor, Ph.D., University of Virginia, 2002)
Longitudinal data analysis techniques, conceptualizing developmental processes, motivational development
- (Associate Professor, PhD. 2006, University of Virginia)
multivariate analysis, multiple group and latent class modeling, developmental processes
- (Assistant Professor, Ph.D., Pennsylvania State University)
Physiological data, Quantitative methods, human development and family studies, longitudinal data analysis, and family research methods.
- (Professor, Ph.D., University of Chicago, 1991)
Mathematical modeling of social and physiological processes
- (Distinguished Professor, Ph.D., Harvard University, 1975)
Genius, creativity, leadership, talent, esthetics, historiometrics
- (Distinguished Professor, Ph.D., Ohio State University, 1982 )
Cognitive processing models for human abilities, structure and development of mental abilities