Multilevel Analysis is a statistical technique used to analyze data that is organized at more than one level. For example, it can be applied to data collected from individuals within groups, such as students within schools or patients within hospitals. This method helps researchers understand how factors at different levels influence outcomes, allowing for more accurate conclusions. This approach accounts for the hierarchical structure of data, recognizing that observations within the same group may be more similar to each other than to those in different groups. By doing so, Multilevel Analysis provides insights that traditional methods might overlook, improving the understanding of complex relationships in various fields.