Abstract
Graduate-level statistics education is often narrowly focused on the mathematical aspect of modeling. While this aspect is important, this focus results in a gap in the student’s understanding regarding the context of the development and use of statistical models. This article provides a description and initial evaluation of a program designed to address this gap. Specifically, the authors collaborated to create a reading list related to the topic of social justice in statistics and integrated the resources on this list into a graduate-level statistics class on the topic of multilevel modeling. The article describes this integration, preliminary evaluation, and future steps for the project.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License