Xingyao Xiao is a doctoral candidate in Social Research Methodologies at the University of California, Berkeley. Her research centers on the application of advanced statistical methods, including Bayesian Inference, Multilevel, and Longitudinal (Latent Variable) Modeling, particularly Growth Mixture Modeling. Her work is focused on advancing the fields of Measurement, Psychometrics, Education, and Psychology. Additionally, Xingyao integrates considerations of race and gender into her research applications, contributing to a more nuanced understanding of these factors within the academic discourse.
Degree(s)
MS , Applied Statistics and Psychometrics, Boston College