Multivariate data analysis : a global perspective

Abstract

1 Introduction: Models and Model Building Section I Understanding and Preparing for Multivariate Analysis 2 Cleaning and Transforming Data 3 Factor Analysis Section II Analysis Using Dependece Techniques 4 Simple and Multiple Regression Analysis 5 Canonical correlation 6 Conjoint analysis 7 Multiple Discriminant Analysis and Logistic Regression 8 ANOVA and MANOVA Section III Analysis using Interdependence Techniques 9 Group data and Cluster Analysis 10 MDS and Correspondence Analysis Structural Equation Modeling 11 SEM: An Introduction 12 Application of SEM

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