Bayesian Methods for Education Research
Our work seeks to develop, apply and disseminate a Bayesian alternative to the frequentist (classical) statistical paradigm used in rigorous empirical research in the education sciences.
Our Approach
A research study based in the Wisconsin Center for Education Research (WCER) that investigates Bayesian approaches motivated by problems in large-scale observational and longitudinal studies.
Past Work
Our past work, funded by IES, focused on developing Bayesian methods for propensity score analysis, missing data problems, and general issues of model uncertainty (Grant #R305D110001), as well as the development of Bayesian dynamic borrowing as a means of utilizing historical data in current analyses (Grant #R305D190053).
Current Work
Our current work, funded by IES (Grant #R305D220012), focuses on developing Bayesian probabilistic models to forecast trends in education targets specified by the UN Sustainable Development Goals and utilizing international large-scale assessments.
Publications & Resources
Explore our work, including journal articles, books, chapters and available software.
