Title: 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
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: book
Access and Citation
Cited By Count: 10739
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot