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 ...

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 ...

It seems plausible that a person’s demographic behaviour may be influenced by that among other people in the community, for example because of an inclination to imitate. When estimating multilevel ...

This three-day course provides an introduction to multilevel modelling and includes software practicals in your choice of software: MLwiN, R, or Stata. We focus on multilevel modelling for continuous ...

This workshop provides an introduction to multilevel modelling using the MLwiN software. Closing date for applications is 4th December 2022. 09-Mar-22: Introduction to Multilevel Modelling Using MLwiN ...

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 ...