Two-level hierarchical linear modeling (HLM) is a statistical technique used to analyze data that has a nested structure, such as students within classrooms or patients within hospitals. This method allows researchers to understand both individual-level (level 1) and group-level (level 2) effects on outcomes, making it particularly useful for examining how contextual factors influence individual behavior and performance.
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