Graduate Studies
Quantitative
Doctoral candidates in the quantitative program receive advanced training in statistical methods and quantitative models applicable to psychology.
The quantitative program emphasizes a wide range of topics, including traditional analysis of variance and regression, categorical data analysis, structural equation modeling, finite mixture modeling and dynamical systems modeling. Quantitative students will typically apply these methods to a topic in a substantive area of psychology, such as cognitive, counseling, or developmental. The extent of the substantive training above and beyond the quantitative training will depend on the interests of the individual student.
The quantitative program faculty train students to have expertise in a variety of analytical tools and to advance methodology through novel research on statistical applications and creative use of existing techniques. Areas of expertise within the program include math modeling and statistics. As in all of our programs, there is great flexibility of curriculum, and students may work with a variety of faculty, both within and between programs.