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Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling - Hardcover

  • 3.93 out of 5 stars
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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.

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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

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  • PublisherSAGE Publications Ltd
  • Publication date2011
  • ISBN 10 1849202001
  • ISBN 13 9781849202008
  • BindingHardcover
  • LanguageEnglish
  • Edition number2
  • Number of pages368
  • Rating
    • 3.93 out of 5 stars
      56 ratings by Goodreads

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Condition: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. 2. Auflage 2012. Hinweis: Abweichendes Cover. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 368 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 10765788/202

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The classic text in multilevel analysis, dealing with everything you need to know, has been hugely revised and added to and is supported by all the software. A must-have for modellers.The Second Edition of this classic text introduc. Seller Inventory # 597102628

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Bosker's 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 provides step-by-step coverage of: multilevel theories ecological fallacies the hierarchical linear model testing and model specification heteroscedasticity study designs longitudinal data multivariate multilevel models discrete dependent variables There are also new chapters on: missing data multilevel modeling and survey weights Bayesian and MCMC estimation and latent-class models. This book has been comprehensively revised and updated since the last edition, and now discusses modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and SuperMix. This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis. Tom A.B. Snijders is Professor of Statistics in the Social Sciences at the University of Oxford and Professor of Statistics and Methodology at the University of Groningen. Roel J. Bosker is Professor of Education and Director of GION, Groningen Institute for Educational Research, at the University of Groningen. Seller Inventory # 9781849202008

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