Multilevel models

Multilevel models are statistical tools used to analyze data that’s organized at different levels, such as students within schools or patients within clinics. They help us understand how individual factors and group-level factors influence outcomes. For example, they can show how student performance varies not only because of individual skills but also because of school characteristics. This approach provides a more accurate picture by considering the nested structure of data, allowing researchers to separate out influences at each level and make better-informed conclusions.