Approaching Multivariate Analysis, 2nd Edition

Regular price €71.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Harry Staines
A01=John Todman
A01=Pat Dugard
AMOS Graphic
Author_Harry Staines
Author_John Todman
Author_Pat Dugard
Category=JMB
Category=PBT
Click Continue
cluster analysis techniques
Continuous Iv
Dialog Box
Discriminant Analysis
Dummy Variables
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
FTO Variant
Generalized Linear Models
Loglinear Analysis
Loglinear Model
Main Dialog Box
medical data analysis
Multivariate ANOVA
Partial Correlation Analysis
path modelling
Poisson Regression
Poisson Regression Model
practical multivariate statistics applications
psychological statistics
Reference Category
Retrospective Power
SAS syntax examples
Semipartial Correlation
Simple Matching Coefficient
SPSS Datasheet
SPSS Output
Standardized Deviance Residuals
Stepwise Method
survival data methods
Univariate ANOVA
Validation Set

Product details

  • ISBN 9780415645911
  • Weight: 810g
  • Dimensions: 189 x 246mm
  • Publication Date: 15 Aug 2014
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems.

This book provides a non-mathematical introduction to multivariate methods, with an emphasis on helping the reader gain an intuitive understanding of what each method is for, what it does and how it does it. The first chapter briefly reviews the main concepts of univariate and bivariate methods and provides an overview of the multivariate methods that will be discussed, bringing out the relationships among them, and summarising how to recognise what types of problem each of them may be appropriate for tackling. In the remaining chapters, introductions to the methods and important conceptual points are followed by the presentation of typical applications from psychology and medicine, using examples with fabricated data.

Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, as well as details of how to interpret and report the output, and extracts of SPSS syntax and code from relevant SAS procedures.

This book gets students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, medical students and students or academics in any discipline that uses multivariate methods.

    Pat Dugard worked until 1999 at the University of Abertay Dundee teaching statistics and providing statistical support and consultancy for researchers in psychology, engineering and other areas. Since then she has worked on two books with John Todman, with Open University and WEA students, and done statistical work for community groups and for engineers at Abertay. John Todman lectured in the Psychology Department at the University of Dundee, first as a Lecturer, then as Senior Lecturer, then as a Professor. During that period he taught in addition to aspects of cognitive psychology, Design and Analysis at undergraduate and postgraduate levels. His research has been primarily in the areas of computer-aided communication for people without speech, and in computer anxiety. Sadly, John died just as this edition of the book had been completed. Harry Staines has lectured statistics to a wide variety of students (including psychologists and nurses), led research groups and supervised postgraduate research students at the University of Abertay Dundee for over 20 years. He left his job as Professor of Applied Statistics in 2007 to work in the pharmaceutical industry designing and analyzing clinical trials. He also provides statistical support to medical researchers and QCMD.    

More from this author