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Dr. Liu received his Ph.D. in measurement, evaluation and assessment in educational psychology from the University of Connecticut. His major publications focus on advanced statistical models. His articles have been recognized among the most popular papers published in the Journal of Modern Applied Statistical Methods (JMASM). Dr. Liu is the recipient of the Excellence Award in Creativity/Scholarship at Eastern.
Dr. Liu is the author of two books, Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling and Categorical Data Analysis and Multilevel Modeling Using R.
Liu, X. (2022). Categorical data analysis and multilevel modeling using R. Thousand Oaks, CA: Sage
Liu, X., Bai, H., & Koirala, H. (2018). Multiple imputation for missing data analysis in proportional odds models for ordinal response variables. General Linear Model Journal, 44, 1-10.
Liu, X. (2016). Applied ordinal logistic regression using Stata: From single-level to multilevel modeling. Thousand Oaks, CA: Sage.
Liu, X. (2016). Proportional odds models for ordinal response variables with complex sampling designs using SAS, IBM SPSS and Stata. General Linear Model Journal, 42, 30-39.
Trawick-Smith, J., Swaminathan, S., & Liu, X. (2015). The relationship of teacher-child play interactions to mathematics learning in preschool. Early Child Development and Care, 186, 716-733.
Liu, X. (2014). Fitting stereotype logistic regression models for ordinal response variables in educational research. Journal of Modern Applied Statistical Methods, 13(2), 528-543.