Daniel Anderson, Research Associate
Daniel Anderson-Video Interview
Daniel Anderson earned his PhD in March of 2015 from the University of Oregon, department of Educational Methodology, Policy and Leadership. His dissertation focused on parsing variance in students’ within-year mathematics growth between students, classrooms, and schools, using a Bayesian estimator with moderately informative priors.
He is primarily interested data science, broadly defined as the intersection between computer science and statistics, as applied to large-scale research in education. He is particularly interested in issues of equity, including access to quality instruction. Much of his current work is available on his personal website: http://www.dandersondata.com