Latent Variable and Mixed-Effects Models for Longitudinal Data
Research in quantitative psychology involves the development of statistical techniques for the analysis of psychological data. The importance of this research is that it serves the many subfields of psychology that rely on quantitative data, including clinical, social, development, personality, health, and biology. Research in quantitative psychology benefits the field of psychology broadly by developing tools needed to address the many complexities of data that come from psychological research.
The Blozis Lab develops and evaluates statistical methods for longitudinal and missing data, addressing the complexities of data that come from psychological research. Research focuses on latent variable and mixed-effects models with an emphasis on models for longitudinal data and missing data.
The GRE requirement has been waived for Fall 2021 admissions.
Application Deadline: December 1, 2020