About the Project

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. We investigate Bayesian approaches motivated by problems in large-scale observational and longitudinal studies. Our past work, funded by IES (Grant #R305D110001), has focused on developing Bayesian methods for propensity score analysis, missing data problems, and general issues of model uncertainty. Our current work, also funded by IES (Grant # R305D190053), focuses on the idea of Bayesian dynamic borrowing as a means of utilizing historical data in current analyses. Also funded by IES (Grant #R305D220012) we are also developing Bayesian probabilistic models to forecast trends with the United Nations Sustainable Development Goals.

This joint effort is housed within the Wisconsin Center for Education Research at the School of Education, University of Wisconsin-Madison. Copyright ©2011, The Board of Regents of the University of Wisconsin System