Sarah Depaoli, Ph.D.

Dr. Sarah Depaoli is Professor and Area Head of Quantitative Methods, Measurement, and Statistics (QMMS) at the University of California, Merced. Her research focuses on issues surrounding Bayesian estimation of latent variable models. She is the author of the book Bayesian Structural Equation Modeling, which is part of the Methodology in the Social Sciences Series with Guilford Press.

Ph.D. in 2010, University of Wisconsin, Madison
Quantitative Methods, with a minor in Mathematical Statistics
M.A. in 2007, CA State University, Sacramento
Quantitative Psychology
B.A. in 2003, CA State University, Sacramento
Psychology

Associate Editor:
Psychological Methods, 2019-present
Journal of the Royal Statistical Society--Series A, 2022-present
Multivariate Behavioral Research, 2017-present [special issue guest editor]

Guest Editor:
2020-2021 Special Issue of Frontiers in Psychology, Quantitative Psychology and Measurement called "Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research,"

2017-2018 Special Issue on Quantitative Methods in Psychology for Translational Issues in Psychological Science

Select Awards and Honors:
Recipient of the 2020 Early Career Alumni Award, University of Wisconsin, Madison

Elected member of the Society of Multivariate Experimental Psychology (SMEP), 2016

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 (Methods)