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Multivariate Data Analysis, CourseSmart eTextbook, 7th Edition

By Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson

Published by Prentice Hall

Published Date: Feb 10, 2009

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For graduate and upper-level undergraduate marketing research courses.

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.

Table of 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

    A    Basic Stats

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Multivariate Data Analysis, CourseSmart eTextbook, 7th Edition
Format: Safari Book

$109.99 | ISBN-13: 978-0-13-813232-3