In this paper, I outline several conceptual and methodological issues related to modeling individual and group processes embedded in clustered/hierarchical data structures. We position multilevel modeling techniques within a broader set of univariate and multivariate methods commonly used to study different types of data structures. We then illustrate how the choice of analysis method affects how best to examine the data. This overview gives us an idea of our further development of these themes and models in this study.
翻译:在本文件中,我概述了与集群/等级数据结构中嵌入的个人和群体过程建模有关的几个概念和方法问题。我们把多层次建模技术放在一套研究不同类型数据结构的更为广泛的单一和多变方法中。然后我们说明分析方法的选择如何影响如何最佳地审查数据。本概览使我们了解到我们在本研究中进一步发展这些主题和模型的情况。