Dr. Shi’s research primarily focuses on developing, improving, and applying statistical methods (from both Frequentist and Bayesian perspectives) for modeling psychological data. His methodological interests reside in the following four areas: 1) Psychometrics, 2) Model fit and model selection, 3) Causal inference, and 4) Missing data analysis. He is also interested in the application of quantitative methods to substantive areas of psychology, especially in clinical and health related studies.
Biographical Profile
College
College of Arts and Sciences
Department
Psychology
Tenure Status
Tenured
Interest Background
Do you include students in your research?
Graduates
Interest Keywords
Psychometrics, Model Comparison, Causal Inference, Missing Data Analysis, Longitudinal Data Analysis
Institutional Focus Areas
Behavioral Sciences, Social Sciences, Health Sciences, Computational Sciences
Personal Focus Areas
Quantitative Methods, Statistical Modeling, Data Analysis
Professional Preparation(Education & Training)
Dates
Institution
Location
Degree
Field of Study
08/2016 - 07/2018
University of South Carolina
Columbia, SC
Postdoctoral Research Training
Quantitative Psychology
08/2010 - 05/2016
University of Oklahoma
Norman, OK
M.S. and Ph.D.
Quantitative Psychology
08/2006 - 06/2010
Shandong Normal University
Jinan, Shandong, P.R. China
B.S.
Applied Psychology
08/2008 - 05/2010
East Tennessee State University
Johnson City, TN
B.S.
Psychology
Positions & Appointments
Dates
Description
Institution/Entity
08/2018
Assistant Professor (Quantitative Psychology)
University of South Carolina
Recognition Awards, Honors, & Fellowships
Dates
Type
Description
Foundation/Entity
2020
Award
SCoer Faculty Award
University of South Carolina
2021
Award
McCausland Scholar
University of South Carolina
The two sections below (Awards and Pending Proposals) are only viewable by PIs, business managers, chairs, and deans.