Quantitative Methods and Data Science

The quantitative psychology faculty lend their expertise in quantitative and statistical modeling, big data processing and machine learning to almost all research programs in the department, as well as hold ongoing collaborations at the Data Science Institute, School of Medicine, and Curry School of Education. Current research foci include linear and non-linear structural equation modeling, dynamic systems modeling, optimal research design, and quantitative analysis of neuroimages. Topics of special interest include longitudinal latent variable models, growth curve models, applications of structural equation models to behavior genetics, analysis of individual and group differences in family studies of ability, and the development of numerical and graphical estimation techniques for multivariate models.


Institute for the Dynamics of Healthy Development


Several software packages that are developed by our faculty are available for use.


Open MX SEM Software

Exploratory Graph Analysis