articleAmerican Journal of Political ScienceJan 1, 2002Closed access

Modeling Multilevel Data Structures

University of North Carolina at Chapel Hill

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Abstract

Data are becoming quite common in political science and provide numerous opportunities for theory testing and development. Unfortunately this type of data typically generates a number of statistical problems, of which clustering is particularly impor? tant. To exploit the opportunities of? fered by multilevel data, and to solve the statistical problems inherent in them, special statistical techniques are required. In this article, we focus on a technique that has become popular in educational statistics and sociology?multilevel analysis. In multilevel analysis, researchers build models that capture the layered structure of multilevel data, and determine how layers interact and impact a dependent variable of…

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Authors

2

Topics & keywords

Keywords
  • Multilevel model
  • Computer science
  • Exploit
  • Data science
  • Focus (optics)
  • Statistical model
  • Cluster analysis
  • Data mining
UN Sustainable Development Goals
  • Quality Education
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