Chad A. Davis

LIFE Fellow since 2026, University of Virginia

I am a PhD student in Quantitative Psychology working with Cynthia Tong at the University of Virginia, specializing in advanced statistical methods for psychological data. My research focuses on longitudinal modeling, mixture modeling, Bayesian statistics, and missing data. The goal of my research is to use simulation-based approaches to improve how we measure and interpret change over time. At the same time, I am also pursuing a Master’s degree in Statistics at the University of Virginia. Before beginning my PhD, I graduated summa cum laude with a B.S. in Psychology from East Tennessee State University, where I conducted my honors thesis research on how positive childhood experiences buffer the effects of parental substance use on later depression.

Selected Publications

Davis, C. A., & Liu, C. (2026). Incremental recall: An efficient method for estimating egocentric network density. Computation, 14(3), Article 59. https://doi.org/10.3390/computation14030059

Davis, C. A., Tong, X., & Nuttall, A. K. (2026). Bias of retrospective reporting to combat missingness in longitudinal research. International Journal of Behavioral Development. Advance online publication. https://doi.org/10.1177/01650254251404753