Francis L. Huang

Dr. Francis L. Huang is a Professor in the Department of Educational, School, and Counseling Psychology at the University of Missouri-Columbia's College of Education and Human Development. An applied quantitative methodologist, he teaches courses in program evaluation, multilevel modeling, and data management while researching school climate, bullying prevention, and large-scale educational data analysis.

• PhD in Research, Statistics, and Evaluation (University of Virginia)
• MA in Instructional Technology and Media (Teachers College, Columbia University)
• BS in Legal Management (Ateneo de Manila University)

His methodological expertise spans clustered data analysis, plausible values modeling, and robust standard error estimation. He develops tools like the MLMusingR package for multilevel modeling in education research.

Recent work focuses on 2025 grant-funded studies about data weighting in international assessments and 2024 open-access replication frameworks for nonexperimental datasets. He advocates for rigorous causal inference and equitable discipline policy analysis through projects like the National Center for Rural School Mental Health (funded by Institute of Education Sciences).

Dr. Huang contributes to Missouri Prevention Science Institute as Methodology Co-Director and collaborates with interdisciplinary teams on school violence prevention and behavioral threat assessment systems. His 2023-2025 publications demonstrate technical innovations in three-level cluster-robust errors and missing data handling for large-scale assessments.