An introduction to hierarchical linear modeling

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An introduction to hierarchical linear modeling

Heather Woltman, Andrea Feldstain, J. Christine MacKay, Meredith Rocchi

University of Ottawa

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.

http://www.tqmp.org/Content/vol08-1/p052/p052.pdf

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关键词：introduction Hierarchical troduction Modeling Linear University advantages describes provided factors

Overview for Analyzing Multilevel Data Using the HLM Software

http://depts.washington.edu/cshrb/wordpress/wp-content/uploads/2013/04/Applied-Longitudinal-Data-Analysis-with-HLM-Statistical-Code-HLM-overview.pdf

ReneeBK 发表于 2013-12-11 01:17
Overview for Analyzing Multilevel Data Using the HLM Softwarehttp://depts.washington.edu/cshrb/wordp ...

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thanks for your sharing, xie xie

Multilevel and Longitudinal Modeling with IBM SPSS

By Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata

Routledge – 2010

非常感谢