Multilevel modeling refers to a statistical technique used to analyze data that has a hierarchical or nested structure, where individuals or units are grouped within larger units. It takes into account the differences between these levels and allows for more accurate and reliable analyses. It helps understand how factors at different levels influence each other and the overall outcome of interest.
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