Workshop materials include slides introducing recursive partitioning methods and how they might be applied to multilevel data. In addition, two R scripts are also included. One provides an introduction to decision trees and random forests for a variety of single-level datasets, while the other applies random forests to a two-level dataset on student math achievement, with students nested within schools.
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View Code? Open in Web Editor NEWWorkshop on recursive partitioning for multilevel data