
Multivariate Data Analysis
United States Edition
Pearson (Publisher)
6th Edition
Published on 24. November 2005
Book
Hardback
928 pages
978-0-13-032929-5 (ISBN)
Article exhausted; check for reprint
Description
For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 258 mm
Width: 209 mm
Thickness: 38 mm
Weight
1838 gr
ISBN-13
978-0-13-032929-5 (9780130329295)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Joseph F. Hair | William C. Black | Barry J. Babin
Multivariate Data Analysis
Book
03/2009
7th Edition
Pearson
€258.73
Article is exhausted; no reprint
Previous edition
Joseph F. Hair | Ronald L. Tatham | Rolph E. Anderson
Multivariate Data Analysis
United States Edition
Book
04/1998
5th Edition
Pearson
€122.55
Article exhausted; check for reprint
Content
Chapter 1: IntroductionChapter 2: Examining Your Data
Chapter 3: Factor Analysis
Chapter 4: Regression
Chapter 5: Multiple Discriminant Analysis
Chapter 6: Manova
Chapter 7: Conjoint Analysis
Chapter 8: Cluster Analysis
Chapter 9: MDS
Chapter 10: Structural Equation Modeling: An Introduction
Chapter 11: SEM: Confirmatory Factor Analysis
Chapter 12: SEM: Testing A Structural Model
Chapter 3: Factor Analysis
Chapter 4: Regression
Chapter 5: Multiple Discriminant Analysis
Chapter 6: Manova
Chapter 7: Conjoint Analysis
Chapter 8: Cluster Analysis
Chapter 9: MDS
Chapter 10: Structural Equation Modeling: An Introduction
Chapter 11: SEM: Confirmatory Factor Analysis
Chapter 12: SEM: Testing A Structural Model