Hlm In Cluster-Randomised Trials - Measuring Efficacy Across Diverse Populations Of Learners

We describe the application of Hierarchical Linear Modelling (HLM) in a cluster-randomised study to examine learning algebraic concepts and procedures in an innovative, technology-rich environment in the US. HLM is applied to measure the impact of such treatment on learning and on contextual variables. We provide a detailed description of such methods, methodically analysing nested classroom data with respect to various outcome measures through HLM.