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. 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. 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.