Multilevel modeling II
Welcome to the second course on multilevel modeling taught through the University of Oregon’s College of Education. This course will be taught through R, a free and open-source statistical computing environment. We will dive deeper into the variance-covariance matrices of multilevel models, how predictions are made from multilevel models, and how to simulate data assuming a multilevel data structure. Both frequentist and Bayesian approaches to estimation will be covered. Please see the schedule for a complete listing of topics.