What is it about?
Not every clustered dataset needs to be analyzed using multilevel modeling.
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Why is it important?
Researchers should be aware of the statistical procedures that can be used to account for clustered data effects.
Perspectives
Educational researchers are often unaware of alternatives to multilevel modeling.
Professor Francis Huang
University of missouri
Read the Original
This page is a summary of: Alternatives to Multilevel Modeling for the Analysis of Clustered Data, The Journal of Experimental Education, October 2014, Taylor & Francis,
DOI: 10.1080/00220973.2014.952397.
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