Sarah Depaoli - CV
My research interests are largely focused on issues surrounding Bayesian estimation of latent variable models. I have particular interests in estimation issues arising from nonlinear growth patterns over time. I am also interested in improving accuracy of uncovering unobserved (latent) groups of individuals. I am currently working with several students that are involved in research spanning a wide range of methodological topics (e.g., Bayesian estimation, latent class modeling, multilevel structural equation modeling, autocorrelation, nonlinear growth modeling, and class separation).
Recipient of the 2015 Rising Star (Early Career) Award, Association for Psychological Sciences (Quantitative Psychology division).
Recipient of the 2011 Distinguished Dissertation Award, American Psychological Association, Division 5 (Evaluation, Measurement, and Statistics).
Elected member of the Society of Multivariate Experimental Psychology.
For more information about the Quantitative Psychology Ph.D. program at UC Merced, please visit this site.