This book presents the state of the art in multilevel analysis,
with an emphasis on more advanced topics. These topics are
discussed conceptually, analyzed mathematically, and illustrated by
empirical examples. Multilevel analysis is the statistical analysis
of hierarchically and non-hierarchically nested data. The simplest
example is clustered data, such as a sample of students clustered
within schools. Multilevel data are especially prevalent in the
social and behavioral sciences and in the biomedical sciences. The
chapter authors are all leading experts in the field. Given the
omnipresence of multilevel data in the social, behavioral, and
biomedical sciences, this book is essential for empirical
researchers in these fields.
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