Higher Ed. and Vocational >> Business and Economics >> Operations Management and Decision Sciences >> Operations Management and Decision Sciences

Multivariate Data Analysis

Multivariate Data Analysis

  • Joseph F. Hair
  • Author: Joseph F. Hair
    • ISBN:9789332536500
    • 10 Digit ISBN:9332536503
    • Price:Rs. 799.00
    • Pages:725
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    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 Content

    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

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

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

        A    Basic Stats

    Salient Features

    NEW! Chapter Reorganization: Chapters now focus on a single topic and begin with providing basic information and application techniques. This is followed by more in-depth discussions later in the chapter.

    NEW! "Rule of Thumb" Feature Expanded: This feature has been improved so students learn how to best use different techniques.

    Use of Technical Terms and Statistical Notation Minimized: In order to make the text more accessible to management and non-mathematically focused students, the authors explain complex techniques in everyday language.

    NEW! Additional Chapters: Structural Equations Modeling has been expanded and reorganized, now covering 4 chapters.