Multivariate Data Analysis

This book is an excellent source of information on multivariate analysis techniques. I especially like the flowcharts used for determining which analysis method to use as well as the flowcharts showing what steps to take for the analysis method chosen. If you have a good basic knowledge of statistics and a good head on your shoulders, you will have no problem understanding the methods presented.

I took multivariate in Ph.D. school. Our professor didn't have a book (just his notes), so I had no book to be loyal to when I got out. I was given this book once I graduated and consider it to be a fabulous reference. I can't speak to *learning* multivariate techniques out of it because that's not been my experience with this book. I use it as a reference- to refresh myself on a technique, or to consult when I run into a problem- this book has yet to let me down and has been able to answer any question or solve any problem that I've had. You see this book cited in academic behavioral research, but the book does a great job of explaining things in a managerial way as well. Other of these reviews have criticized it for going on too long on an example or a technique- for that I PRAISE this book- I WANT that extra information. I'm reminded of that quote from "Amadeus"- "Too many notes." I WANT as many notes as I can get- that's what makes it so much more helpful. If you are looking for a great reference book for multivariate techniques, look no further.

I've used this book (various editions) since graduate school -- more years ago than I care to admit. It is written in English rather than in "statistics" and gives a terrific conceptual overview of the research techniques. I keep it as a reference and use it regularly. If you want to understand multivariate stats without having to wade through a lot of symbols, this book is great. I also find it very useful when I'm trying to come up with a layman's explanation for management.

This book teaches us a lot of methods in multivariate data analysis and the use of a model-building paradigm makes it easy to learn multivariate data analysis

A very informative and useful handbook for both practitioners and students. Each section provides a glossary, the statistic's theoretical assumptions, a step-by-step outline, a sample article that uses the statistics, and most importantly, the command code for SPSS and SAS. A must for anyone doing advanced level statistics!