Multivariate Data Analysis

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Multivariate Data Analysis

Format:  Hardcover,

785 pages

Publisher: Pearson College Div

Publish Date: Feb 2009

ISBN-13: 9780138132637

ISBN-10: 0138132631

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Book Information

The following content was provided by the publisher.
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.

Specifications

Publisher: Pearson College Div
Publish Date: Feb 2009
ISBN-13: 9780138132637
ISBN-10: 0138132631
Format: Hardcover
Number of Pages: 785
Shipping Weight (in pounds): 3.5
Product in Inches (L x W x H): 8.5 x 10.25 x 1.25

Chapter outline

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

Book 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.

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