Handbook of Multilevel Analysis

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Description

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 bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data. 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 authors of the chapters are the leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed.

Release date NZ

December 28th, 2007

Audience

Professional & Vocational

Contributors

Edited by Erik Meijer
Edited by Jan Deleeuw
Foreword by H. Goldstein

Illustrations

XIV, 494 p.

Pages

494

Dimensions

156x234x28

ISBN-13

9780387731834

Product ID

2059454

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Handbook of Multilevel Analysis

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