Multivariate Data Analysis

by Joseph F. Hair Jr., William C. Black, Barry J. Babin

Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.

Genres: Textbooks, Mathematics, Nonfiction, Research, Business, Education

900 pages, Paperback

First published January 1, 1979

About the author

Joe Franklin Hair, Jr.

Reviews

[Viir · Rating 4 out of 5]

Definitely recommend it, it explains everything in detail and combined with the statistical examples makes it easier to understand. At some point it's just a little too dry but oh well

[Lawrence Linnen · Rating 5 out of 5]

While focusing on design, estimation, and interpretation, the authors reduce the reliance on statistical notation and terminology, and instead identify the fundamental concepts that affect the use of these techniques. The result is an applications-oriented introduction to multivariate analysis for the nonstatistician.

[Oktora]

lovely ^^d a book for those who like to see a long string of Xs and Ys and Sigmas :D a nice brain-teasing book indeed.

[Eka · Rating 3 out of 5]

masih lebih suka sama Walpole,,hehe,,

[Fahed Al Kerdi · Rating 5 out of 5]

From day one in my master degree, this book was a great assistance to me to understand the validity and reliability of the research instrument. Very recommended for those who are doing quantitative research and they are non-statisticians students.

[Uzair · Rating 4 out of 5]

it was excellent

[Mhd Xia]

A advanced study book on the subject. Recommended for PhD students.

[Jiří Fischer · Rating 5 out of 5]

ABSOLUTELY the best book related to data analysis.

[Cedric Nash · Rating 3 out of 5]

I still don't understand, but the reading was necessary.

[Joe Cole · Rating 5 out of 5]

I have to say that this is hands-down the best statistics book I've ever read and the only one out of the pile of books I've purchased that I'm keeping as a reference. There is so much focus on how to choose the correct methods based on the types of data that you're working with - it's refreshing to read a book that's less focused on the math and more focused on the real-world applications.

[Brijesh Bolar · Rating 5 out of 5]

This book was referred to me by my Professor at MICA for my PGC in Marketing Analyst. It is a very comprehensive book on marketing research and data analysis which has indepth explanation of various data mining and analysis techniques.

The book is not a step by step tutorial on any particular software for SAS / SPSS, as in it would not give you steps to run the analysis but it is more detailed on the actual analysis aspect. The thing you would do after you run the analysis and see the output in front of you. How would you interpret it. And I believe that is the most important part irrespective of the tool you are using.

I would not know if the book would be an easy read for someone who wants to learn analytics on his own. But is the MOST important read. So if you are comfortable with using SAS, SPSS, R or any other data analysis tool then this book will help you by understanding the output of the analysis and getting insights from the analysis you have run.

[Rebecca · Rating 4 out of 5]

At the risk of sounding even more nerdy than I already am, this was actually the best statistics book I have ever read (and I have read a few of them in the past year and a half). Even if you don't take a class but just have an interest in multiple regression (Jason) or any basic or advanced multivariate statistics technique, I highly recommend this book.

[inoel · Rating 3 out of 5]

Factor, Cluster, Multiple Regression,MANOVA,Conjoint,SEM...aaaargh!!! Those thing driving me nuts!!!!

[Eeva Ahdekivi · Rating 3 out of 5]

Tää on niitä kirjoja jonka hyvyys aukeaa vasta iän myötä, ja kokemuksen. Arghh.

[IM · Rating 5 out of 5]

perfect

[Viogaa Angga · Rating 5 out of 5]

i wanana read the book