Francis L. Huang
Francis L. Huang

Professor / Methodology Co-Director

University of Missouri
Missouri Prevention Science Institute

About Me

I am a Professor in the Department of Educational, School, and Counseling Psychology (emphasis: Statistics, Measurement, & Evaluation in Education) Program in the College of Education and Human Development at the University of Missouri-Columbia. I am an applied quantitative methodologist and currently teach courses related to program (impact) evaluation, multilevel modeling, regression, and data management.

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Interests
  • Analysis of Clustered Data (Multilevel Modeling)
  • Measurement of School Climate
  • Evaluation and Causal Inference
  • Bullying and School Violence
  • School Discipline
  • Large-scale Assessments
Education

  • PhD Research, Statistics, and Evaluation

    University of Virginia

  • MA Instructional Technology and Media

    Teachers College Columbia University

  • BS Legal Management

    Ateneo de Manila University

📰 Updates
  • See you at AERA! (2025.04.20) 📣
  • Due to the cancellation of several federally-funded contracts, our team has cancelled our PD on large scale assessments at AERA (sorry)
  • Finally updated my website! (2025.04.16) ✌️
    • 📚 My Research
    My research interests focus on the use of applied quantitative methods for policy analysis (e.g., bullying, school violence), school climate, large scale data analysis, and the development and validation of empirically supported measures and scales. My methodological interest focus on the analysis of clustered data (or dealing with nonindependent data structures) and the design and analysis of experiments.
    Featured Publications
    Multilevel Models

    Practical multilevel modeling using R

    Check out the latest info on the book here sample chapters additional code and an online appendix errata Some reviews: A major strength of this book is its accessibility. Huang effortlessly bridges the divide between the sometimes-abstruse literature on advanced statistics and the needs of applied researchers who lack extensive quantitative training. The result is an approachable text that covers all the basics, but also does not shy away from important advanced topics such as diagnostics, detecting and handling heteroscedasticity, and missing data handling methods. This book would make not only a useful guide to the application of multilevel modeling, but could also serve as an excellent companion text for a course on multilevel modeling. - Kristopher J. Preacher, Vanderbilt University

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    Recent Publications

    See CV for a list of all publications. Use the search feature on the navigation bar to find a paper on a particular topic.

    Francis L. Huang, Brian Keller (2025). Working with missing data in large-scale assessments. LSA.
    PDF Code DOI URL
    Jordan Kerere, Dewey Cornell, Jennifer Maeng, Francis L. Huang (2025). Student attacks following a school threat assessment: Statewide trends in student and case characteristics.. JTAM.
    PDF Cite DOI URL
    Dewey G. Cornell, Jennifer Maeng, Sonja Winter, Francis L. Huang, Tim G. Konold, Jordan Kerere, Kelvin Afolabi, Deanne Cowley (2025). Behavioral threat assessment and equity in exclusionary school discipline. SPR.
    Cite Project DOI URL
    Francis L. Huang, Bixi Zhang (2025). Cluster-robust standard errors with three-level data. Communications in Statistics - Theory and Methods.
    Cite Code DOI URL
    Dewey G. Cornell, Jordan Kerere, Timothy Konold, Jennifer Maeng, Kelvin Afolabi, Francis L. Huang, Deanne Cowley (2025). Referral rates for school threat assessment. Psychology in the Schools.
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    Recent & Upcoming Talks
    Teaching
    Data Management (using R)
    Monte Carlo Simulation
    Multilevel Modeling
    Program Evaluation
    Quantitative Foundations
    Posts
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    📇 Contact Info

    📞 +1 (573) 882-8689
    📍 16 Hill Hall, Columbia, MO 65211
    📧 huangf@missouri.edu