The CMM maintains reviews of some of the packages available for multilevel modelling. These reviews contain syntax for fitting a range of multilevel models to example datasets. If you want to see how ...

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 Multilevel modeling is an increasingly popular technique for analyzing hierarchical data. This article ...

The challenge and pleasures of studying child and adolescent peer experiences come from the complexity and the significance of these relationships for development in childhood and adolescence. In ...

The gallery is a database of (mostly) published journal articles which fit multilevel models. It is searchable by model type and substantive area. We hope that this will prove useful for teachers and ...

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 ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...

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 ...