معرفی
Xing Liu is a Professor and Associate Chair at Eastern Connecticut State University, specializing in advanced statistical methodologies. He holds a Ph.D. in measurement, evaluation, and assessment from the University of Connecticut. His research focuses on categorical data analysis, multilevel modeling, longitudinal data analysis, and educational assessment. He has authored two influential textbooks: Applied Ordinal Logistic Regression Using Stata (2016) and Categorical Data Analysis and Multilevel Modeling Using R (2022). His work has been recognized for its impact in statistical journals such as the Journal of Modern Applied Statistical Methods.
Dr. Liu’s teaching interests include research methods, quantitative analysis, and educational measurement. He is the recipient of the Excellence Award in Creativity/Scholarship at Eastern Connecticut State University, highlighting his contributions to academic innovation. His publications span topics like missing data imputation in proportional odds models, teacher-child interactions in early education, and statistical software applications in complex sampling designs.
- Awards: Excellence Award in Creativity/Scholarship (Eastern Connecticut State University)
- Publications: Over 10 peer-reviewed articles and two widely cited textbooks
- Key Expertise: Bayesian methods, structural equation modeling, and data science applications in education
