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Reading and Understanding Multivariate Statistics

Reading and Understanding Multivariate Statistics

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Author: Laurence G. Grimm
Creator: Paul R. Yarnold
Publisher: American Psychological Association (APA)
Category: Book

List Price: $29.95
Buy Used: $12.95
You Save: $17.00 (57%)



New (33) Used (21) from $12.95

Rating: 4.5 out of 5 stars 8 reviews
Sales Rank: 68611

Media: Paperback
Edition: 1
Pages: 373
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 9.9 x 6.9 x 0.9

ISBN: 1557982732
Dewey Decimal Number: 001.4225
EAN: 9781557982735
ASIN: 1557982732

Publication Date: January 1995
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: USED PAPERBACK, COVER BENT AND CREASED, SOME PAGES BENT AND WRINKLED, SHELF DUST (SJ) ISBN: 1557982732

Similar Items:

  • Reading and Understanding More Multivariate Statistics
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  • Discovering Statistics Using SPSS (Introducing Statistical Methods S.) (2nd Edition)
  • Publication Manual of the American Psychological Association
  • Multivariate Statistical Analysis: A Conceptual Introduction

Editorial Reviews:

Product Description
This text aims to help researchers and students to understand the purpose and presentation of multivariate statistical techniques. The most commonly used techniques are described in detail, such as multiple regression and correlation and path analysis


Customer Reviews:   Read 3 more reviews...

4 out of 5 stars Excellent high-level overview   June 6, 2007
Micah Spears (San Antonio, Texas)
This book is an excellent high-level overview of multivariate statistics and the techniques for working with multivariate data. br / br /It doesn't go into detail making it a very good read for people wanting to learn multivariate concepts.


4 out of 5 stars Reading and Understanding Multivariate Statistics by Grimm   February 24, 2006
A. Janowicz
1 out of 9 found this review helpful

A good resource for someone taking a psyc stat class.


5 out of 5 stars Fantastic Treatment of Sophisticated Mathemeatical Concepts   November 5, 2004
G. A. Dawson (Chicago, IL United States)
12 out of 15 found this review helpful

I've long wanted a better explanation of Eigenvectors and Eigenvalues than I recieved in a econometrics or statistics textbook. This book gives me an incredibly clear understanding of what they are. Now when I look back at the mathematical interpretation again it means so much more. This is a fantastic book that would highly recommend to anyone wanting a clear conceptual understanding of these sophisticated topics. 5 stars, no questions about it!


5 out of 5 stars Great Resource for Statistics   August 6, 2003
Chava79 (USA)
12 out of 13 found this review helpful

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.pYou 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 was much better than the statistics books I have had as required reading in courses. It's a great resource overall!


5 out of 5 stars I read it - and I understood it!   October 31, 2002
debvh (New Jersey)
38 out of 39 found this review helpful

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.