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Product Description
Product Description
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.
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.
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Customer Reviews
Most Helpful Customer Reviews
2 of 2 people found the following review helpful
Format:Paperback
This book aims to be an "application oriented introduction to multivariate analysis for the nonstatistician".
In this aim it succeeds like no other book I have come across. It will appeal to quantitative market researchers that need to understand or apply multivariate techniques in practise. It discusses in depth the assumptions, practical use, interpretation and pitfalls of a number of techniques:
- Factor analysis
- Multiple regression
- Multiple discriminant analysis
- MANOVA
- Conjoint analysis
- Cluster analysis
- Multidimensional scaling
- Structural equation modelling
Key terms are defined at the start of each chapter. This is followed by a description, an example, and a detailed process for the practical application of each technique.
The book has a sample data set, available at its website, that is used for the examples in each chapter. This is an invaluable learning tool, because it means one can use your preferred software to replicate the results in the book. But this not a handbook of any specific software - you will not find instructions on how to perform the analysis in R, SPSS or SAS.
Another useful feature is a rules of thumb section in most of the chapters, giving practical advice that one would otherwise only learn through actual practical experience.
This book might not appeal to mathematical statisticians. But neither is it aimed at a general business reader. It is a technical book that will appeal to market researchers that want to understand more about the sophisticated tools that are available.
In this aim it succeeds like no other book I have come across. It will appeal to quantitative market researchers that need to understand or apply multivariate techniques in practise. It discusses in depth the assumptions, practical use, interpretation and pitfalls of a number of techniques:
- Factor analysis
- Multiple regression
- Multiple discriminant analysis
- MANOVA
- Conjoint analysis
- Cluster analysis
- Multidimensional scaling
- Structural equation modelling
Key terms are defined at the start of each chapter. This is followed by a description, an example, and a detailed process for the practical application of each technique.
The book has a sample data set, available at its website, that is used for the examples in each chapter. This is an invaluable learning tool, because it means one can use your preferred software to replicate the results in the book. But this not a handbook of any specific software - you will not find instructions on how to perform the analysis in R, SPSS or SAS.
Another useful feature is a rules of thumb section in most of the chapters, giving practical advice that one would otherwise only learn through actual practical experience.
This book might not appeal to mathematical statisticians. But neither is it aimed at a general business reader. It is a technical book that will appeal to market researchers that want to understand more about the sophisticated tools that are available.
1 of 1 people found the following review helpful
Format:Paperback
It is an excellent book, easy to read and very clear. It is especially interesting for those who want to understand the statistical techniques but without knowing in depth the mathematical developments associated. I highly recommend. It is an excellent tool for a researcher.
9 of 12 people found the following review helpful
Format:Paperback
1. The book was written by people in Marketing and Business Administration, not mathematicians or statisticians.
2. You almost don't find a single formula in the book.
3. You are supposed to remember given stages and steps and opitions to process a MVA.
4. You are not told the theoretical basis of any method.
5. You won't be able to develop statistical methods by your own after reading the book.
6. I feel incredible frustrations in reading it.
7. The book is onlt suitable for students of Marketing or Business Administration. If you are a student in Economics, 'd better not to use it. If you are a student in Physics or Math, please don't waste your money.
2. You almost don't find a single formula in the book.
3. You are supposed to remember given stages and steps and opitions to process a MVA.
4. You are not told the theoretical basis of any method.
5. You won't be able to develop statistical methods by your own after reading the book.
6. I feel incredible frustrations in reading it.
7. The book is onlt suitable for students of Marketing or Business Administration. If you are a student in Economics, 'd better not to use it. If you are a student in Physics or Math, please don't waste your money.
Most Recent Customer Reviews
rich and simple resource of multivariate data anaysis
The book is one of the best in its field. It has an organized and simple way of discussing multivariate data analysis. Read more
Published 15 months ago by msalemksa
Good book for Business Research
If you would like to conduct a buiness research or do something like thesis, then this book could be help.
Published 17 months ago by Alfred
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