Nonparametric Statistics for the Behavioral Sciences (McGraw-Hill Series in Psychology) |  | Author: Sidney Siegel
Publisher: McGraw-Hill Companies
Category: Book
List Price: $60.45
Buy Used: $18.00
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Rating:  5 reviews
Sales Rank: 188386
Media: Hardcover
Edition: 1st
Pages: 312
Number Of Items: 1
ISBN: 0070573484
EAN: 9780070573482
Publication Date: 1956
Availability: Usually ships in 1-2 business days
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Condition: clean tight book But corner is bumped . No dust jacket. Ex -U.S.government book. stamp Prop. of U.S. A number of pages have pencil underlines.
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Product Description
Revision of the classic text in the field, adding two new chapters and thoroughly updating all others. The original structure is retained, and the book continues to serve as a combined text/reference.
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| Customer Reviews:
excellent and usable book on nonparametric statistics September 16, 1999
41 out of 42 found this review helpful
Speaking as an MPH level student, (i.e. not a real mathematician) this is about the only usable book on nonparametric stats I have encountered, so I ended up buying it despite the rather high price for a not terribly large book. But, as happens frequently in healthcare and social sciences, when faced with data that can't be analyzed with the normal mean and standard deviation stuff (i.e. survey answers, etc.) this book offers a lot of possibilities beyond the standard chi square test, and more importantly, is clear about what test is appropriate, and how to apply it.
first popular book on nonparametrics March 26, 2008
Michael R. Chernick (Holland PA)
30 out of 31 found this review helpful
In the 1960s Siegel's book was the most popular and the most often cited. This is because except for Fraser it was the only useful test available to researchers. The book was written in a somewhat non-technical manner in order to be accessible to social scientists. At the time it became the standard book for all researchers. Theoretical books such as Hajek and Sidak's "Rank Tests" Came out at the end of the decade and the other good statistical books such as Hollander and Wolfe; Conover,; Lehmann; and Randles and Wolfe didn't come out until the 1970s.
So Siegel's book has historical significance but now the pratitioner and the theorists have many other good books to choose from. The text has been revised many times presumably to keep up with the research advances that have practical use for social scientists.
Excellent first book for nonparametric stat methods February 23, 2002
Stephan Arndt (Iowa City, IA USA)
12 out of 14 found this review helpful
This is an excellent first book for nonparametric statistical methods. It is a cookbook, but is a good introduction to the many nonparametric techniques for assessing data. These are oftentimes much better suited for your data than the standard stuff you get in intro to statistics. The book by David J. Sheskin or by Conover should your next book.
Excellent nonparametric statistics book January 17, 2000
Dorigo Marco (Belgium)
6 out of 14 found this review helpful
This is (together with Empirical Methods for Artificial Intelligence by Paul R. Cohen) the best of the statistics books I read.
 an easy-to-follow tool book, but use w/ caution January 6, 2001
suny (OH)
7 out of 14 found this review helpful
For a non math major (or stats major) user, this book offers an easy way to have works done quickly. But be cautious, an first-class cookbook does not necessarily yeild a first-class meal on your table.
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