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Approaching Multivariate Analysis, 2nd Edition A Practical Introduction

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ISBN-10: 0415645913

ISBN-13: 9780415645911

Edition: 2nd 2010 (Revised)

Authors: Pat Dugard, John Todman, Harry Staines

List price: $43.99
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Description:

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…    
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Book details

List price: $43.99
Edition: 2nd
Copyright year: 2010
Publisher: Taylor & Francis Group
Publication date: 8/15/2014
Binding: Paperback
Pages: 440
Size: 7.25" wide x 9.25" long x 1.00" tall
Weight: 1.958
Language: English

Pat Dugard taught statistics at the University of Abertay Dundee until 1999 and has also taught courses at the Open University. She now concentrates on writing. She received her PGDip in Mathematical Statistics from the University of Cambridge.Portia File is a psychologist and computer scientist experienced in teaching university courses on research methods. She taught at University of Abertay Dundee from 1983 until 2007. She received her PhD in Cognitive Psychology from the University of Texas at Austin in 1975.Jonathan Todman is a Clinical Psychologist in the Pain Management Programme at NHS Greater Glasgow and Clyde in Glasgow, Scotland. He received his Clinical Psychology Doctorate from…    

Preface
Multivariate Techniques in Context
Analysis of Variance (ANOVA)
Multivariate Analysis of Variance (MANOVA)
Multiple Regression
Analysis of covariance (ANCOVA)
Partial Correlation, Mediation and Moderation
Path Analysis
Factor Analysis
Discriminant Analysis and Logistic Regression
Cluster Analysis
Multidimensional Scaling
Loglinear Models
Poisson Regression
Survival Analysis
Longitudinal Data
Appendix: SPSS and SAS Syntax