Hierarchical linear modeling (HLM) is a method for analyzing data that has been collected in a hierarchically organized fashion.
It allows researchers to identify the relationships between different levels of the hierarchy and can be used to predict outcomes at different levels of the hierarchy.
HLM is particularly useful when the data is collected in a survey or survey design, in which cases it can help to identify how certain factors influence responses at different levels of the hierarchy.
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