This is a second edition of the popular textbook, which is fully updated to reflect the recent changes in the field, and includes new material on dealing with missing values, linear mixed models and longitudinal data with non-normal responses. With many real-world examples, graphs, and exercises, this text presents an accessible introduction to intermediate statistical methods for behavioural scientists. Assuming some familiarity with introductory statistics, the author separates mathematical details from the main body of the text and removes the burden of performing necessary calculations by encouraging the use of R and providing the code online.
Publisher: Taylor & Francis Inc
Number of pages: 418
Dimensions: 235 x 156 mm
Edition: 2nd New edition
Praise for the first edition:
Clarity and conciseness have always been the hallmarks of Everitt's writing. This book is no exception. Anyone looking for a clearly written text on the subject that is also practitioner oriented needs to look no further.
-Chuck Chakrapani, Journal of the Royal Statistical Society, Series A, 2012
... a clear, well-orchestrated guide to multivariate statistics for the post-graduate and professional behavioural scientist who possesses basic statistical knowledge. ... Everitt successfully crafts a well-integrated introductory text that obviates potential difficulties by including real problems and their data sets. ... the book's applied orientation introduces the behavioural scientist to both the use and rudimentary understanding of multivariate techniques. ... The book would also serve well as a training guide for the practitioner less experienced in multivariate techniques. ...
-Psychometrika, June 2010
... The first two chapters give a magnificent introduction before approaching the modeling issues. Especially the second chapter, which shows how to look at data, is among the best I have ever seen in books on multivariate methods. ... He also goes well beyond the typical graphs showing how to explore real insights of the data. ... the book is extremely easy to browse and read. ... Putting the R code in an appendix and on the website is an excellent choice. ... the huge experience of the author ... makes the presentation so clear and understandable. I'll be happy to recommend this book to students and researchers.
-International Statistical Review, 2010
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