On the unnecessary ubiquity of hierarchical linear modeling.

Volume: 22, Issue: 1, Pages: 114 - 140
Published: Mar 1, 2017
Abstract
In psychology and the behavioral sciences generally, the use of the hierarchical linear model (HLM) and its extensions for discrete outcomes are popular methods for modeling clustered data. HLM and its discrete outcome extensions, however, are certainly not the only methods available to model clustered data. Although other methods exist and are widely implemented in other disciplines, it seems that psychologists have yet to consider these...
Paper Details
Title
On the unnecessary ubiquity of hierarchical linear modeling.
Published Date
Mar 1, 2017
Volume
22
Issue
1
Pages
114 - 140
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