Multilevel Analysis: Techniques and Applications (Quantitative Methodology Series)

Hox, Joop J., Moerbeek, Mirjam, van de Schoot, Rens

ISBN 10: 080583219X / ISBN 13: 9780805832198

Verlag: Routledge Academic, 2002

Beschreibung

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Bestandsnummer des Verkäufers S_439726765

Bibliografische Details

• Titel: Multilevel Analysis: Techniques and Applications (Quantitative Methodology Series)
• Verlag: Routledge Academic
• Erscheinungsjahr: 2002
• Sprache: Englisch
• ISBN-10: 080583219X
• ISBN-13: 9780805832198
• Einband: Paperback
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

This book is an introduction to multilevel analysis for applied researchers featuring models for hierarchical or nested data. This book presents two types of models: The multilevel regression and multilevel covariance structures models.

Despite the book being an introduction, it includes a discussion of many extensions and special applications. As an introduction, it will be useable in courses in a variety of fields, such as psychology, education, sociology, and business. The various extensions and special applications make it useful to researchers who work in applied or theoretical research, and to methodologists that have to consult with these researchers. The basic models and examples are discussed in non-technical terms; the emphasis is on understanding the methodological and statistical issues involved in using these models. Some of the extensions and special applications contain more technical discussions, either because that is necessary for understanding what the model does, or as an introduction to more advanced treatments. Thus, the book will be useful as an introduction and as a standard reference for a large variety of applications.

Críticas

"The author has chosen a technical level for the presentation that allows precision in the model specifications and the discussion of more advanced issues without detracting from its applied focus. This book provides a good reference for those who want to grasp the essentials of this widely used methodology."
―Short Book Reviews

"...provides an intuitive understanding of the topic while building on a basic foundation of classical multiple regression....is very well organized and is a nice resource to supplement other texts....I especially recommend this book to practitioners and consultants who work in social-science-related disciplines, although it is also handy for anyone that works with mixed models."
―Journal of the American Statistical Association