Reasons for Hierarchical Linear Modeling: A Reminder.

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  • Author(s): Wang, Jianjun
  • Source:
    Journal of Experimental Education. Fall99, Vol. 68 Issue 1, p89. 5p.
  • Additional Information
    • Subject Terms:
      LINEAR statistical models; MATHEMATICAL statistics
    • Abstract:
      ABSTRACT. Delimitations of hierarchical linear modeling (HLM) were examined in terms of fixed and random effects in multilevel data analyses. The author used examples at the local and national levels to illustrate proper applications of HLM and dummy variable regression. Cautions are raised regarding circumstances under which hierarchical data do not need HLM. [ABSTRACT FROM AUTHOR]
    • Abstract:
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