Handbook of Parametric and Nonparametric Statistical Procedures, Second Edition [Hardcover]

David J. Sheskin (Author), David Sheskin (Author)

Book Description

ISBN-10: 158488133X | ISBN-13: 978-1584881339 | Publication Date: February 24, 2000 | Edition: 2

Called the "bible of applied statistics," the first edition of the bestselling Handbook of Parametric and Nonparametric Statistical Procedures was unsurpassed in its scope. The Second Edition goes even further - more tests, more examples, more than 250 pages of new material.

Thorough - Up-To-Date
With details of more than 100 statistical procedures, the Handbook offers unparalleled coverage of modern statistical methods. You get in-depth discussion of both practical and theoretical issues, many of which are not addressed in conventional statistics books.

Practical - User-Friendly
Accessible to novices but valuable to seasoned researchers, the Handbook emphasizes application over theory and presents the procedures in a standardized format that makes it easy to access the information you need.

If you have to
Ø Decide what method of analysis to use
Ø Use a particular test for the first time
Ø Distinguish acceptable from unacceptable research
Ø Interpret the results of published studies
the Handbook of Parametric and Nonparametric Statistical Procedures has the background, the answers, and the guidelines to get the job done.

Product Details

• Hardcover: 1016 pages
• Publisher: Chapman and Hall/CRC; 2 edition (February 24, 2000)
• Language: English
• ISBN-10: 158488133X
• ISBN-13: 978-1584881339
• Product Dimensions: 10.3 x 7.4 x 2.4 inches
• Shipping Weight: 4.2 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (7 customer reviews)
• Amazon Best Sellers Rank: #2,514,872 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

22 of 23 people found the following review helpful:

5.0 out of 5 stars A great aid for understanding the use of statistical tests., May 31, 1998

By 

S. Tescione (Seattle, WA United States) - See all my reviews
(REAL NAME)   

This review is from: Handbook of Parametric and Nonparametric Statistical Procedures (Hardcover)

From a student's point of view, this book contains numerous aids to assist in understanding the application of many statistical tests. For example, the decision charts on pages 27-30 help to determine what tests are applicable for analysis given the type of data the researcher plans to obtain in the study. I might decide that the use of the Kruskal-Wallis is appropriate. The chart refers me to Test 17, which is on page 396. I can go to that page, and get a complete plain-language explanation of the test and what it measures. Examples are provided for each test to determine appropriateness, and this section is followed by an example with computations. A complete analysis of the data and a discussion of the test ensues. All of the necessary tables for computation are included in appendices. I am a complete novice at statistics, and this book has helped me to understand material in classroom lectures.

17 of 17 people found the following review helpful:

5.0 out of 5 stars Comprehensive, valuable reference, April 10, 2002

By 

"s_shepherd" (San Diego, CA United States) - See all my reviews

This review is from: Handbook of Parametric and Nonparametric Statistical Procedures, Second Edition (Hardcover)

This is an excellent, exceptionally comprehensive, and well-structured reference on a wide range of inferential tests and measures of association, which is ideal for the applied scientist. After a few useful introductory chapters that provide definitions and outline the main concepts involved in inferential statistics, the various tests are covered chapter by chapter. Each chapter contains sections describing:
1. the hypotheses evaluated and relevant background information;
2. examples of the kind of problems that can be addressed using the test
3. the null and alternative hypotheses;
4. computation (including meticulously worked out examples so the reader can follow the precise workings);
5. an extensive set of notes describing the interpretation of the results, the assumptions of the test, the robustness of the test to violations of those assumptions, and comparisons with alternative tests;
6. a set of references.
A set of decision tables are provided to assist the user in selecting the appropriate test, and there are additional extensive discussions in the various chapters to assist further if required. The book also includes an extensive list of look-up tables for significance testing. An additional valuable feature of the book is that in the chapter on the nonparametric test for a difference in medians of two populations (Mann-Whitney U-test) there is included discussions about permutation and randomization tests.

The target audience of the book is the practioner rather than the theoretician. The book aims to assist in the selection of an appropriate test and the interpretation of the test results rather than on a theoretical discussion of the test. The text is exceptionally clearly written, and is highly accessible to non-experts in statistics. There is a minimum of equations, which are supplied only where necessary. While it is not that hard to find a few editorial omissions, the book does seem to have been edited carefully, and I have as yet stumbled across only trivial errors. If I were forced to find any criticism, about the only thing I could say is that at the top of the page the chapter headings are listed purely in terms of test number without listing the test name, which sometimes makes it a little harder to find the test of interest.

I make absolutely no hesitation in recommending this book to anyone who makes use of inferential statistics.

3 of 3 people found the following review helpful:

5.0 out of 5 stars Very clear written, very good organization - very good book, July 16, 2005

By 

Zac (USA) - See all my reviews

Amazon Verified Purchase

This review is from: Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition (Hardcover)

The overall organization is very good. You will find the test you need with the help of the #guidline and decision table for selecting the appropriate statistical procedure# on page 113. The explanations given to the tests are very understandable. That means, you should be able to reproduce the examples given in the book with out problems. Additionally, at the end of each chapter is a bibliography for the test presented in this chapter. At the begining of each chapter some historical remark for the test are given.

This book is very good, because its contents is presented in a very good way. I can strongly recommend.