Multilevel models are a subclass of hierarchical Bayesian models, which are general models with multiple levels of random variables and arbitrary relationships among the different variables.

What are multilevel models? Many kinds of data, including observational data collected in the human and biological sciences, have a hierarchical or clustered structure.

Jan 22, 2025 · What is multilevel modeling (MLM), and why is it used? Multilevel modeling (MLM), also known as hierarchical or mixed-effects modeling, is a statistical technique designed to analyze data …

This website will teach you the fundamentals about multilevel modelling, from why and when you would use them and how to do so for various research questions and data structures.

Multilevel modeling is an increasingly popular approach to modeling hierarchically-structured data, outperforming classical regression in predictive accuracy. This is no surprise, given that multilevel …

Feb 29, 2020 · We use multilevel modelling when we are analysing data that are drawn from a number of different levels and when our outcome is measured at the lowest level.

An applied textbook on generalized linear models and multilevel models for advanced undergraduates, featuring many real, unique data sets. It is intended to be accessible to undergraduate students who …