Introducing Multilevel Modeling (Introducing Statistical Methods series) - Brossura

Libro 1 di 4: Introducing Statistical Methods series

Ita Kreft; Jan De Leeuw

 
9780761951414: Introducing Multilevel Modeling (Introducing Statistical Methods series)

Sinossi

Authors Ita G. G. Kreft and Jan de Leeuw have provided the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioral, and educational research and it is clear from recent developments that such models are seen as more realisticùand potentially more revealingùthan ordinary regression models. While other books describe these multilevel models in considerable detail none focus on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. The authorsÆ approach is user-oriented, keeping formal mathematics and statistics to a minimum. Other key features include the use of worked examples using real data sets, analyzed using the leading computer package for multilevel modeling.

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Recensione

`This book offers an introduction to multilevel modelling that is both clear and accessible. For this reason I strongly recommend it to anyone new to the subject.... I particularly liked the non-directive feel to the book, which leaves the reader clear that there are some issues about which they will have to make up their own mind based on the evidence presented.' - British Journal of Mathematical and Statistical Psychology

`If you teach statistics to students with little patience for Greek letters and formulas and who do not have a matrix algebra and mathematical statistics background, I recommend that you use Introducing Multilevel Modeling. - Journal of the American Statistical Association

Contenuti

Introduction
Overview of Contextual Models
Varying and Random Coefficient Models
Analyses
Frequently Asked Questions

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Altre edizioni note dello stesso titolo

9780761951407: Introducing Multilevel Modeling

Edizione in evidenza

ISBN 10:  0761951407 ISBN 13:  9780761951407
Casa editrice: Sage Pubns Ltd, 1998
Rilegato