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Reading and Understanding Multivariate Statistics

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Title: Reading and Understanding Multivariate Statistics
by Laurence G. Grimm, Paul R. Yarnold
ISBN: 1-55798-273-2
Publisher: American Psychological Association (APA)
Pub. Date: January, 1995
Format: Paperback
Volumes: 1
List Price(USD): $29.95
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Average Customer Rating: 4.6 (5 reviews)

Customer Reviews

Rating: 5
Summary: Great Resource for Statistics
Comment: In many introductory statistics courses you usually do not cover multivariate statistics. This book and its companion volume are useful for anyone in upper level undergraduate or graduate programs. It is a great reference to have when planning research.

You can read it all at once to get a general understanding of this area or you can look at it as you need it as a reference. It's a great resource overall!

Rating: 5
Summary: I read it - and I understood it!
Comment: "Reading and Understanding Multivariate Statistics" achieves exactly what its title implies. Geared toward non-statisticians in behavioral and social science fields, this book provides clear and reasonably simple explanations of some of the most common multivariate analyses. Each chapter focuses on a different analysis and presents its conceptual underpinnings, underlying assumptions, and basic procedures with a minimum of equations and many concrete examples. It does not teach you how to perform the analyses but does provide references for those who wish to get more detailed information. As a research scientist who doesn't always remember everything I learned in graduate statistics class, I find this book an invaluable aid keeping up with the current literature in my field and in making the most of statistical consultations. This book is ideal for anyone whose job requires them to be a "consumer" of research; for researchers who wish to further their understanding of data analysis; and as a companion text for graduate statistics classes.

Rating: 4
Summary: Complex made simple
Comment: The authors provide clear and sufficient explanation for the most common multivariate statistical techniques. Well written and easy to follow.

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