This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...

Background: Quality of life (QOL) assessment is an important component within cancer research. There is often variability in QOL scores both between patients and across time. Understanding this ...

This is a preview. Log in through your library . Abstract In IRT models, responses are explained on the basis of person and item effects. Person effects are usually defined as a random sample from a ...

What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...

Members of Christopher Del Negro’s lab are back from an international neuroscience conference in Copenhagen and need to get ready to move to new facilities in William & Mary’s Integrated Science ...