Project Activities
People and institutions involved
IES program contact(s)
Products and publications
Products: First, the software will be programmed in C for initial development and testing. Then, the team will render a more user-friendly interface through R and Shiny web applications. The research team will also provide a user's guide and results from the analysis of data from multisite trials, and software documentation. The team will prepare research manuscripts, present at conferences, and teach at in workshops for education researchers.
Publications:
Shin, Y., & Raudenbush, S. W. (2024). Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error. Journal of Computational and Graphical Statistics, 33(1), 112-125.
Supplemental information
Co-Principal Investigator: Raudenbush, Stephen
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.