Multivariate Data Analysis

by Hair, Joseph F., Jr; Black, William C.; Babin, Barry J.; Anderson, Rolph E.

• ISBN13: 9780138132637
• ISBN10: 0138132631
• Edition: 7th
• Format: Paperback
• Copyright: 2009-02-13
• Publisher: Pearson

Summary

KEY BENEFIT: For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair, et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques. Preparing For a MV Analysis; Dependence Techniques; Interdependence Techniques; Moving Beyond the Basic Techniques MARKET: Statistics and statistical research can provide managers with invaluable data. This textbook teaches them the different kinds of analysis that can be done and how to apply the techniques in the workplace.

Table of Contents

Introduction

Introduction

Preparing For a MV Analysis

Examining Your Data

Factor Analysis

Dependence Techniques

Multiple Regression Analysis

Multiple Discriminant Analysis and Logistic Regression

Multivariate Analysis of Variance

Conjoint Analysis

Interdependence Techniques

Cluster Analysis

Multidimensional Scaling and Correspondence Analysis

Moving Beyond the Basic Techniques

Structural Equation Modeling: Overview

Appendix ndash; SEM

CFA: Confirmatory Factor Analysis

Appendix ndash; CFA

SEM: Testing A Structural Model

Appendix ndash; Sem

Basic Stats

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