Multivariate analysis : an application-oriented introduction

Table of Contents: Chapter 1: Introduction to empirical data analysis Chapter 2: Regression analysis Chapter 3: Analysis of variance Chapter 4: Discriminant analysis Chapter 5: Logistic regression Chapter 6: Contingency analysis Chapter 7: Factor analysis Chapter 8: Cluster analysis Chapter 9: Conjoint analysis

This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM's statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods.