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A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics
 
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A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics [Paperback]

Larry Hatcher (Author), Edward J. Stepanski (Author)
3.7 out of 5 stars  See all reviews (3 customer reviews)


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Book Description

August 8, 1994
A user-friendly guide beneficial to both researchers and students of the social sciences, this book provides a very comprehensive introduction of the SAS System and elementary statistical procedures. Step by step, this book guides beginners through the basic concepts of research and data analysis, to data input and on to ANOVA and MANOVA. The more advanced researchers will find the presentation of sophisticated statistical procedures invaluable. With this book you will learn to write SAS programs, interpret results, perform statistical analyses without a broad mathematics background, and summarize results in American Psychological Association format.

Supports releases 6.07 and higher of SAS software.



Editorial Reviews

About the Author

Larry Hatcher, Ph.D.
Larry Hatcher, Associate Professor of Psychology at Winthrop University and a SAS user for nearly 15 years, offers you the benefit of his experience as both a researcher and a teacher of statistics using the SAS System.

Edward J. Stepanski, Ph.D.
Edward J. Stepanski, Associate Professor of Clinical Psychology in Medicine at the University of Illinois at Chicago, has used the SAS System in research projects in the sleep disorders field for nearly 15 years. He shares his expertise with you in this book.


Product Details

  • Paperback: 568 pages
  • Publisher: Sas Inst (August 8, 1994)
  • Language: English
  • ISBN-10: 1555446345
  • ISBN-13: 978-1555446345
  • Product Dimensions: 10.6 x 8.3 x 1.1 inches
  • Shipping Weight: 2.4 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,131,155 in Books (See Top 100 in Books)

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Customer Reviews

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Average Customer Review
3.7 out of 5 stars (3 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

14 of 15 people found the following review helpful:
4.0 out of 5 stars One of my favorite statistical reference books, June 3, 2000
By A Customer
This review is from: A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics (Paperback)
You do not need to be a social scientist nor use SAS to find this book helpful. I am not a social scientist, and often use other statistical software. Still, I use this guide more than any of my other statistical textbooks and reference books. The authors do an excellent job of explaining how to perform and interpret a variety of statistical tests. For SAS users, there are many example programs and instructions on how to write and interpret these. If you regularly use statistics in your schooling or career, this book is a must have!
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5.0 out of 5 stars Very useful for understanding statistics, July 15, 2009
This review is from: A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics (Paperback)
This book is my favorite reference for understanding how to run and interpret statistical analyses. I used it when I was working on my dissertation and doing multiple regression for the analyses, and it was a godsend. Just as the title states, you are given step-by-step instructions on how to do the analyses and interpret them. What I think is particularly good about this book is that the authors don't overwhelm you with a lot of equations, formulas, and math.
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6 of 11 people found the following review helpful:
2.0 out of 5 stars NOT good for learning/understanding statistics, August 5, 2002
By 
Ling-Yun Su (CHICAGO, IL United States) - See all my reviews
This review is from: A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics (Paperback)
The book was targetted to social scientists. The reviewer is from physical sciences. Thus this review may be biased.
Either the authors tried not to confuse novices in statistics with too much theory/math, or they assumed the readers are fluent with statistics but are tyros in SAS. The book included as little formula and derivations as possible. I find it is hard to understand what is really going on and why the procedures do things in those ways. It reminds me certain cook books. If you are desperately 'hungry', this might be a good one for you. However, if you want to be a chef, look somewhere else.
I am not sure how social scientists will feel about this book. As a statistician, I think this is definitely NOT a book for those who are comfortable with mathematical derivations, i.e. most mathematicians, statisticians and physicists.
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