Project Activities
People and institutions involved
IES program contact(s)
Products and publications
Dorie, V., Perrett, G., Hill, J. L., & Goodrich, B. (2022). Stan and BART for Causal Inference: Estimating Heterogeneous Treatment Effects Using the Power of Stan and the Flexibility of Machine Learning. Entropy, 24(12), 1782.
Supplemental information
Co-Principal Investigator: Scott, Marc
The new software will scaffold the education researcher through the data analytic process, from uploading data all the way through to graphical and tabular displays of results. The software will also have interactive educational components in order to provide researchers with the opportunity to gain a deeper understanding of the methods and their underlying assumptions. As part of the software development process, the research team will receive feedback on the software through their education research colleagues, through their advisory board research network and during training sessions at conferences. The researchers will also form an education-focused user group and a methods-focused user group via Google groups to provide a central forum for software experiences and issues of general interest.
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.
