Hierarchical Modelling

Hierarchical modeling is a statistical approach that organizes data into multiple levels, recognizing that data points might be grouped naturally—like students within schools or patients within hospitals. It allows for analyzing both individual group differences and overall patterns simultaneously. By accounting for these nested structures, hierarchical models provide more accurate insights, capturing variability at each level. This approach improves understanding of complex systems where data are related across different layers, leading to more nuanced and reliable conclusions.