Multilevel models refer to a statistical tool used to analyze data that has nested or hierarchical structure. It helps to understand how factors at different levels, like individuals within groups or students within schools, influence each other. It allows for more accurate and detailed analysis, considering both individual and group-level effects simultaneously.
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