Ting Shen

Ting Shen serves as an Assistant Professor in the Department of Psychological Science at Missouri University of Science and Technology, specializing in quantitative methodologies within social sciences. Her academic foundation includes a Ph.D. in Measurement and Quantitative Methods and an M.S. in Applied Statistics from Michigan State University.

Her research expertise spans Quantitative Research Methods (Multilevel Modeling, Econometrics, Bayesian Inference), Big Data Analysis in large-scale assessments, and Measurement and Evaluation across psychology and education domains. She develops statistical frameworks for complex survey data while examining class size effects, educational inequality, and environmental policy impacts through rigorous empirical analysis.

Her recent publications demonstrate methodological innovation in handling sampling weights and multilevel analyses, with applications spanning educational psychology, environmental economics, and cognitive science. Key contributions include comparative analyses of single-level versus multi-level modeling approaches and investigations into carbon management spatial patterns.

• 2020 AERA Fellowship Award on the Study of Deeper Learning
• 2020 Dr. Eugene Owen Scholarship from ICPSR

Dr. Shen teaches advanced research methods, psychometrics, and statistics across face-to-face, online, and hybrid formats. Her work bridges methodological rigor with practical applications in educational policy and environmental decision-making, utilizing both U.S. and international large-scale datasets to address pressing social science questions.