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.
John Felt – CV
John began his doctoral studies in quantitative and health psychology in the Fall of 2013 where he is working under Dr. Sarah Depaoli and Dr. Jitske Tiemensma. He received his B.A. in psychology in 2011 from San Francisco State University and his M.A. in general-experimental psychology in 2013 from CSU-Northridge. His research interests include structural equation modeling, Bayesian estimation, and the interactions between hormones and behavior.
Yuzhu (June) Yang – CV
June joined the quantitative psychology doctoral program at UC Merced in Fall 2013. She is currently studying latent growth modeling, latent class analysis, and model averaging within the Bayesian framework. Before she moved to Merced, she studied at City University of New York and graduated with an M.S. in Industrial and Organizational Psychology. June is originally from China and is enjoying the gorgeous sunshine here in California.
Patrice is a doctoral student in quantitative psychology. She received her Bachelor of Arts degree in psychology from Franklin and Marshall College in Lancaster, Pennsylvania. Before coming to UC Merced she worked in Neuropsychiatry and Pharmacology laboratories at UC San DIego, investigating schizophrenia and the effects of oxytocin. Her current interests include, but are not limited to, modeling nonlinear data, Bayesian estimation, structural equation modeling and the analysis of neuroimaging data. Academic website is found here.
Sonja is a doctoral student in quantitative psychology at University of California, Merced since Fall 2016. She received her B.Sc. in Psychology (2011) and M.Sc. in Developmental Psychology (2013) at Utrecht University, The Netherlands. Before joining UC Merced, she worked at the Methods and Statistics department of Utrecht University, focusing on structural equation modeling within a Bayesian framework. Her current interests include Bayesian estimation, structural equation modeling, and analyzing development over time.
William Kyle Hamilton – CV
William earned his Bachelor of Arts degree in Psychology with a minor in Political Science from the University of California, Merced in 2012 and is now a research assistant at the Health Communications and Interventions Lab where he aids graduate students in running studies on Amazon Mechanical Turk and organizes study materials. William serves as a board member for the UC Merced Alumni Association, as well as a board member for the Merced County Advisory Board on Alcohol and Drug Problems.
James Clifton, student 2011-present
Inge Schrooten, visiting PhD student in 2016, Utrecht University, The Netherlands
- Applying Bayesian Statistics in Developmental Psychology
Sarah Scott, 2015 PhD in Health and Quantitative Psychology