an introduction to hierarchical linear modeling

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ID: 203822
2012
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Abstract
This tutorial aims to introduce Hierarchical Linear Modeling (HLM). A simple explanation of HLM is provided that describes when to use this statistical technique and identifies key factors to consider before conducting this analysis. The first section of the tutorial defines HLM, clarifies its purpose, and states its advantages. The second section explains the mathematical theory, equations, and conditions underlying HLM. HLM hypothesis testing is performed in the third section. Finally, the fourth section provides a practical example of running HLM, with which readers can follow along. Throughout this tutorial, emphasis is placed on providing a straightforward overview of the basic principles of HLM.
Reference Key
woltman2012tutorialsan Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Heather Woltman;Andrea Feldstain;J. Christine MacKay;Meredith Rocchi
Journal journal keteknikan pertanian
Year 2012
DOI
DOI not found
URL
http://www.tqmp.org/Content/vol08-1/p052/p052.pdf
Keywords
hypothesis testing

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