  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.
