What is it about?
A basic explanation of the purposes and benefits of hierarchical linear modeling (HLM), also known as multilevel modeling.
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Why is it important?
When sample members form natural groups (e.g., families, schools), traditional multiple regression will produce inaccurate standard errors. HLM corrects for this problem and has additional benefits. This article serves as the first introduction to the procedure for people with a nutrition or health background.
Perspectives
I wrote this as a grad student, and it is one of several "how-to" articles I have published about statistical methods.
Dr Russell T. Warne
Independent Scholar
Read the Original
This page is a summary of: Managing Clustered Data Using Hierarchical Linear Modeling, Journal of Nutrition Education and Behavior, May 2012, Elsevier,
DOI: 10.1016/j.jneb.2011.06.013.
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