Quantitative Psychology

Quantitative psychology emphasizes applied methods for the analysis of data resulting from psychological experiments and correlational studies.

  • Program Focus
  • 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 Topics
  • 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.
  • Research Centers
  • 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.
  • Why UC Davis?
  • The city of Davis and the surrounding areas offer rich intellectual, cultural, and recreational opportunities. UC Davis sponsors a number of cultural events, including world-class performances, distinguished speakers, free summer concerts, and innovative exhibits at galleries and museums. The campus is located about 15 miles from Sacramento (the state capital), roughly 50 miles from the beautiful Napa and Sonoma valleys (wine country), 72 miles from the cosmopolitan Bay Area (Berkeley and San Francisco), and about 150 miles from such spectacular resort and wilderness areas as Lake Tahoe and Yosemite. Northern California, including Davis, is known for its outstanding quality of life.
  • Fellowships available for PhD Students
  • Fellowships available for PhD Students in Quantitative Psychology and in Education