Shelley A. Blozis, Professor of Psychology
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 numeric data, including development, clinical, social, 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. My research addresses some of the complexities of data that come from psychological research. My work focuses on latent variable and mixed-effects models with an emphasis on models for longitudinal data and their applications to psychological data.