About me

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 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. 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. Click here for a short one-pager.

Updates

• My book, Practical Multilevel Modeling Using R, is now out (2022.12.26)! You can read about it here.
• Well, our university webpages are now use Googlesites and I don’t have time to figure out how to port my site over. For the most part, I have put datasets on Github. You can access these here: https://github.com/flh3/pubdata (2022.08.25)
• My website can now be accessed at: https://francish.net (shorter I guess). (2022.08.24)
• My university webpage, where I store some data and functions, had a URL change (i.e., moved servers). If you are using the old links and they do not work, instead of “faculty.missouri.edu/huangf/…”, change this to “web.missouri.edu/~huangf/…“. Also, I will migrate stuff over to github.com/flh3 over time (2022.02.09).
• AERA Division E Distinguished Research Award 2021. (2021.04.05)
• Elected as a member of the Society for the Study of School Psychology (SSSP). (2021.03.29)
• Article of the Year 2020. School Psychology Review. Journal of the National Association of School Psychologists (NASP). (2021.03.18)
• Appointed Associate Editor of AERA Open. (2021.03.18) [We all ended our term as of 2021.12.31]

Tweets by flhuang

I teach the following courses at the University of Missouri:

Multilevel Modeling

The goal of the course is to provide students with the necessary skills needed to review/critique, analyze, interpret, and write-up studies involving nested (clustered) data using multilevel modeling (MLM). Clustered data (e.g., students within schools, patients within clinics) occur quite naturally in the social sciences and being able to understand and conduct their own analyses using nested data is an important skill. Alternatives are discussed as well.

Applied Multivariate Statistics

This course is designed to provide students with both a theoretical and applied understanding of useful multivariate statistical procedures (e.g., factor analysis, principal components analysis, discriminant function analysis, cluster analysis, MANOVA) in education sciences.

Program (Impact) Evaluation

Evaluating the quantifiable impact of social programs is a key task that policy makers, governments, and program funders perform. In education and the social sciences, a fundamental question asked is ‘How do we know our policy or program works?’

Quantitative Foundations in Educational Research

This course is designed to provide students the fundamental and necessary quantitative methods in educational research.

Data Management (using R)

Good data management is a prerequisite for successful research, needed for reproducibility of results, and essential when collaborating with others.

• huangf@missouri.edu
• 573.882.8689
• 16 Hill Hall, Columbia, MO 65211
• By appointment