The Department of Psychology houses a nationally recognized program in Quantitative Psychology, which serves many roles within the Department and the University. The program is designed to provide quantitative training to all Psychology Ph.D students and specifically to students in Quantitative Psychology. The Department has a strong commitment to Psychology as a Quantitative science. The program operates as a de facto Applied Methods program for the whole University, and students from many colleges and departments take our quantitative courses, including Business, Math, Nursing and Public Health, Education, Engineering, Communication, Sociology, Political Science, Computer Science, and many others.
Faculty include: Hairong Song (Program Coordinator), Patrick Manapat, and Dingjing Shi.
Graduate Students include: Catherine Bain, Theo Meyer, and Keelyn Brennan
Students in the Quantitative Program are trained in applied statistics, psychometrics, and mathematical modeling. Courses are offered in the following topics:
- Behavior statistics
- Experimental design
- Evaluation and quasi-experimental design
- Multivariate statistics
- Multiple comparison procedures
- Nonparametric statistics
- Structural equations modeling
- Factor analysis
- Scaling and measurement
- Test theory
- Exploratory data analysis
- Categorical data analysis
- Longitudinal methods
- Computer applications
- Behavioral decision theory
- Mathematical modeling
