Amazon
Editorial ReviewsProduct Description
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.
本书以实际应用为导向，重点讲解几类多元数据分析的基本概念和应用，摒弃了繁琐的数学推导，非常适合非统计学专家在市场调研、研究设计和数据分析等中的应用。
书中介绍的方法覆盖了目前相关应用领域、数据分析领域最流行和最先进的方法，譬如相比第六版加入了新的一章 结构方程。
Contents

I  Introduction
1  Introduction

II  Preparing For a MV Analysis
2  Examining Your Data
3  Factor Analysis

III  Dependence Techniques
4  Multiple Regression Analysis
5  Multiple Discriminate Analysis and Logistic Regression
6  Multivariate Analysis of Variance
7  Conjoint Analysis

IV  Interdependence Techniques
8  Cluster Analysis
9  Multidimensional Scaling and Correspondence Analysis

V  Moving Beyond the Basic Techniques
10  Structural Equation Modeling: Overview
10a  Appendix – SEM
11  CFA: Confirmatory Factor Analysis
11a  Appendix – CFA
12  SEM: Testing A Structural Model
12a  Appendix – SEM

APPENDIX
A  Basic Stats