معرفی
Nianbo Dong is the Guy B. Phillips Professor in Education at the University of North Carolina at Chapel Hill (UNC-CH). His expertise lies in quantitative methodologies for educational evaluation, focusing on causal inference, multilevel experiments, and program effectiveness analysis. He holds a Ph.D. from the University of Pennsylvania (2009) and prior roles at the University of Missouri-Columbia and Vanderbilt University.
Dr. Dong's research develops statistical tools for experimental design and causal analysis, including the PowerUp! software suite for multilevel experiment planning. His work evaluates teacher training programs, early childhood education interventions, and educational policies. He has received $4.3M+ in NSF and IES grants, highlighted by the NSF Early Career Award (2017).
His methodological contributions include cost-effectiveness analysis frameworks, moderation/mediation effect designs, and addressing nested data structures. Recent work explores disparities in K-8 academic outcomes and trauma impacts on randomized trials. He advises on grant proposals and serves as Associate Editor for Educational Evaluation and Policy Analysis.
Publications span 200+ peer-reviewed articles in journals like Journal of Educational Measurement and Journal of Research on Educational Effectiveness. His work bridges statistical rigor with real-world educational challenges, emphasizing practical tools for researchers and policymakers.
