Multivariate Data Analysis: Pearson New International Edition

7e édition

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.

For graduate and upper-level undergraduate marketing research courses.

VitalSource eBook (VitalBook) - En anglais 50,00 € DRM - Momentanément indisponible


Pearson Education
Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson,
Mots clés
études marketing, manuel, marketing, ouvrage en anglais, VitalSource
Catégorie (éditeur)
> Manuels et lecture complémentaires > Marketing & Communication > Marketing
Catégorie (éditeur)
> Manuels et lecture complémentaires > Marketing & Communication
BISAC Subject Heading
BUS091000 BUSINESS & ECONOMICS / Business Mathematics > BUS043000 BUSINESS & ECONOMICS / Marketing > BUS058000 BUSINESS & ECONOMICS / Sales & Selling > BUS043060 BUSINESS & ECONOMICS / Marketing / Research
BIC subject category (UK)
KJQ Business mathematics & systems > KJS Sales & marketing > KJSM Market research
Code publique Onix
05 Enseignement supérieur
Date de première publication du titre
01 novembre 2013
Subject Scheme Identifier Code
Classification thématique Thema: Mathématiques et système des affaires
Classification thématique Thema: Ventes et marketing
Classification thématique Thema: Étude de marché

VitalSource eBook

Date de publication
01 novembre 2013
Nombre de pages de contenu principal : 752
Code interne
Protection technique e-livre

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I Introduction   
01. Introduction

II Preparing For a MV Analysis
02. Examining Your Data
03. Factor Analysis

III Dependence Techniques
04. Multiple Regression Analysis
05. Multiple Discriminate Analysis and Logistic Regression
06. Multivariate Analysis of Variance

IV Interdependence Techniques
07. Cluster Analysis
08. Multidimensional Scaling and Correspondence Analysis

V Moving Beyond the Basic Techniques
09. 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

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