This is a preview. Log in through your library . Abstract Multilevel modeling is an increasingly popular technique for analyzing hierarchical data. This article ...

Statistical models are essential in research to investigate relationship between variables, make predictions, classify items, and identify latent structures in a data set. Statistical models can be ...

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 ...

This was a two-year research project (June 2003 - May 2005) under the ESRC Research Methods programme. The project involved the development of multilevel simultaneous equations models for the analysis ...

This course is available on the BSc in Data Science and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations ...