Francis Huang

  • Associate Professor

Areas of Expertise

  • Analysis of clustered data
  • Quantitative methods for impact evaluation
  • School climate and school disciplinary practices
  • Development and validation of empirically supported measures and scales
  • Applied quantitative methods for policy analysis and large scale data analysis

Bio

I am an Associate Professor in the Department of Educational, School, and Counseling Psychology (emphasis: Statistics, Measurement, & Evaluation in Education) Program in the College of Education at the University of Missouri-Columbia. I am an applied quantitative methodologist and currently teach subjects related to program (impact) evaluation, multilevel modeling, linear/nonlinear regression, multivariate statistics (e.g., factor analysis, discriminant analysis, cluster analysis), and data management. My research interests focus on the use of applied quantitative methods for policy analysis (e.g., bullying, school violence, literacy growth), 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.