The course seeks to provide participants with a solid grounding in the application of multilevel models.This involves combining a strong understanding of how multilevel models are formulated in statistical terms (and their relationship to other types of statistical model), with a fluency in handling data with clustered and hierarchical features and an ability to specify multilevel models in popular statistical analysis packages. Have a detailed understanding of how to critically interpret results from multilevel models. Gain a working knowledge of the multilevel statistical package. Be able to apply these methods to continuous and binary response data.
Graduate
