Alternative methods via random forest to identify interactions in a general framework and variable importance in the context of value-added models

This work presents two complementary studies that propose heuristic methods to capture characteristics of data using the ensemble learning method of random forest. The first study is motivated by the problem in education of determining teacher effectiveness in student achievement.