Nonparametric Statistics for The Behavioral Sciences

By Sidney Siegel

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 0070573573
• ISBN13: 9780070573574
• Release Date: January 1988
• Publisher: McGraw-Hill Humanities/Social Sciences/Languages
• Length: 399 Pages
• Weight: 1.94 lbs.
• Dimensions: 9.5" x 1.1" x 6.7"

Customer Reviews

Review of 2nd-hand book order

This is what I wrote in an e-mail to the supplier shortly after the book arrived: .........I'm absolutely delighted to have this wonderful [even stats can be wonderful sometimes!] book in my hands. It has arrived weeks earlier than I was led to expect. I note that it has been in your personal collection for many years and that you no longer have a use for it. For my own part, it was my favourite stats book when I was doing psychology in the 1960s and now, having a renewed need to deal with non-parametric stats, I searched but failed to find my old paperback edition of Siegel. There are quite a few badly written/incomprehensible stats books around so it's great to have this old friend back. Many thanks for your prompt service. Also I much appreciate that the condition of the book is just as you described it if not better. Best wishes, Alan Alan G. Hodgson, SfCI

first popular book on nonparametrics

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

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

This is (together with Empirical Methods for Artificial Intelligence by Paul R. Cohen) the best of the statistics books I read.

excellent and usable book on nonparametric statistics

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.