Multilevel Analysis: An Introduction To Basic And Advanced Multilevel Modeling

Tom Snijders,Roel Bosker, Roel Bosker

ISBN 10: 184920201X / ISBN 13: 9781849202015

Published by SAGE Publications Ltd 2011-11-04, 2011

About this Item

Seller Inventory # 6666-IUK-9781849202015

Bibliographic Details

• Title: Multilevel Analysis: An Introduction To Basic And Advanced Multilevel Modeling
• Publisher: SAGE Publications Ltd 2011-11-04
• Publication Date: 2011
• Language: English
• ISBN 10: 184920201X
• ISBN 13: 9781849202015
• Binding: Paperback
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

The Second Edition of this classic text introduces the main methods, techniques, and issues involved in carrying out multilevel modeling and analysis. Snijders and Boskers? book is an applied, authoritative, and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book has been comprehensively revised and updated since the last edition, and now includes guides to modeling using Hlm, MlwiN, Sas, Stata including Gllamm, R, Spss, Mplus, WinBugs, Latent Gold, and Mix.

Review

′Overall, Snijders and Bosker provide an accessible and readable text on the subject of multilevel analysis. It is as much tailored to the needs of advanced quantitative researchers, as to relative beginners in the field. As a reader with limited experience in quantitative research, but an interest in advancing my knowledge and understanding of multilevel analysis, I found this text an ideal introduction to the area′ -
Emma Smith
Methodspace Book Reviews Club

This new edition is still intended for students, teachers, or researchers with an interest in conducting or understanding multilevel analysis.  The book is definitely an excellent reference book for researchers working in social sciences, education, environmental sciences, and economic, biological, medical, and health disciplines. Author: Yuehua Wu Source: Zentralblatt Math