Product 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.
Publisher: Prentice Hall; 7 edition (February 23, 2009) Language: English ISBN-10: 0138132631 ISBN-13: 978-0138132637 Product Dimensions: 9.8 x 8.3 x 1.4 inches



目录：

Table of ContentsCh. 1 Overview of Multivariate Methods 1 Sect. I Preparing to Apply Multivariate Analysis 31 Ch. 2 Examining Your Data 33 Ch. 3 Exploratory Factor Analysis 91 Sect. II Dependence Techniques 153 Ch. 4 Multiple Regression Analysis 155 Ch. 5 Multiple Discriminant Analysis 235 Ch. 6 Logistic Regression: Regression with a Binary Dependent Variable 317 Ch. 7 MANOVA and GLM 345 Ch. 8 Conjoint Analysis 408 Sect. III Interdependence Techniques 481 Ch. 9 Cluster Analysis 483 Ch. 10 Multidimensional Scaling 543 Ch. 11 Analyzing Nominal Data with Correspondence Analysis 587 Sect. IV Moving Beyond the Basic Techniques 609 Ch. 12 Structural Equations Modeling Overview 611 Ch. 13 Confirmatory Factor Analysis 668 Ch. 14 Testing Structural Equations Models 707 Ch. 15 Advanced SEM Topics and PLS 732 Index 767

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数据下载：http://wps.prenhall.com/wps/media/objects/7195/7368247/datasets/hair_multivariate_7_data.zip