Latent Variable and Mixed-Effects Models for Repeated Measures and Longitudinal Data

The Blozis Lab develops cutting-edge statistical methods to unlock insights from complex psychological data, particularly when tracking individuals over time. Our research addresses fundamental challenges that arise when studying human behavior longitudinally, including missing observations, individual differences in change, and the need to model unobserved psychological constructs.

We specialize in advancing latent variable and mixed-effects modeling approaches to handle real-world data. Our methods help researchers working in many different areas of research, including clinical, developmental, social, personality, health, and biological psychology, to ask more sophisticated questions about how people change over time and what drives those changes.

Our work directly supports the broader psychological research community in generating more reliable and nuanced findings about human behavior. Our methodological innovations help bridge a gap between the complex realities of psychological phenomena and the statistical models needed to study them rigorously.

Interested in collaborating? We welcome partnerships on methodological research.