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Hierarchical Linear Modeling

In: Encyclopedia of Research Design
Edited by: Neil J. Salkind
Subject:Research Design
Keywords:hierarchical linear models

Hierarchical linear modeling (HLM, also known as multilevel modeling) is a statistical approach for analyzing hierarchically clustered observations. Observations might be clustered within experimental treatment (e.g., patients within group treatment conditions) or natural ...

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  Salkind, N. J. (2010). Hierarchical linear modeling. In Encyclopedia of research design (Vol. 1, pp. 568-571). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412961288.n176
  
  Salkind, Neil J. "Hierarchical Linear Modeling." In Encyclopedia of Research Design, edited by Salkind, Neil J., 568-71. Thousand Oaks, CA: SAGE Publications, Inc., 2010. https://dx.doi.org/10.4135/9781412961288.n176.
  
  Salkind, N. J. 2010. Hierarchical Linear Modeling. In: Neil J. Salkind Editor, 2010. Encyclopedia of Research Design, Thousand Oaks, CA: SAGE Publications, Inc. pp. 568-571 Available at: <https://dx.doi.org/10.4135/9781412961288.n176> [Accessed 26 Jun 2022].
  
  Salkind, Neil J. "Hierarchical Linear Modeling." Encyclopedia of Research Design. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2010, pp. 568-71. SAGE Knowledge. 26 Jun 2022, doi: https://dx.doi.org/10.4135/9781412961288.n176.
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