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 ...