USP 656 Advanced Data Analysis: Multilevel Regression

Intended to introduce students to multilevel regression techniques (also known as Hierarchical Linear Models or HLM), presenting the conceptual underpinnings and application of the techniques for the two most common applications of multilevel models: hierarchical and longitudinal data sets. Multilevel regression is a statistical model that extends multiple regression to data that are hierarchically structured and is used for the estimation of growth curves with longitudinal data. Hierarchical data are common in many kinds of organizational and regional research, because data occurs in natural groupings such as administrative units, geographic regions, or schools.