
Multilevel Statistical Models
Harvey Goldstein(Author)
Hodder Arnold (Publisher)
2nd Edition
Published on 17. May 1995
Book
Hardback
192 pages
978-0-340-59529-9 (ISBN)
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Description
This text describes techniques developed in the early 1990s which introduce a more systematic approach to the statistical modelling and analysis of hierarchically structured data. The book discusses, and expands on, the core set of established techniques, experience and software packages, which are becoming more commonly used in areas such as education, epidemiology, geography, child growth and household surveys. The second edition aims to integrate existing methodological developments, within a consistent terminology and notation, and avoids undue statistical complexity. Methodological derivations are provided in the appendices and examples and diagrams are used to illustrate the applications of techniques. It explains a number of new developments, especially in the areas of discrete response data, time series models, random cross classifications, errors of measurement, missing data and nonlinear models. This book is suitable for postgraduate courses and as a general reference tool and as such is extensively referenced.
More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
glossary, index
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 14 mm
Weight
450 gr
ISBN-13
978-0-340-59529-9 (9780340595299)
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Schweitzer Classification
Other editions
New editions
Harvey Goldstein
Multilevel Statistical Models
Book
02/2003
3rd Edition
Hodder Arnold
€92.98
Article exhausted; check for reprint
Content
The basic linear multilevel model and its estimation; extensions to the basic multilevel model; the multivariate multilevel model; nonlinear multilevel models; models for repeated measures data; multilevel models for discrete response data; multilevel cross classifications; multilevel event history models; multilevel models with measurement errors; software for multilevel modelling; missing data and multilevel structural equation models.