Nonparametric statistics for non-statisticians : a step-by-step approach / Gregory W. Corder, Dale I. Foreman.

Format:

Book

Author/Creator:

Corder, Gregory W., 1972-

Contributor:

Foreman, Dale I.

Wiley InterScience (Online service)

E. Digby Baltzell Fund.

Language:

English

Subjects (All):

Nonparametric statistics.

Physical Description:

1 online resource (xiii, 247 pages) : illustrations

Place of Publication:

Hoboken, N.J. : Wiley, ©2009.

System Details:

text file

Summary:

As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences.

Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields.

Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to:

Test data for normality and randomness

Use the Wilcoxon signed rank test to compare two related samples

Apply the Mann-Whitney U test to compare two unrelated samples

Compare more than two related samples using the Friedman test

Employ the Kruskal-Wallis H test to compare more than two unrelated samples

Compare variables of ordinal or dichotomous scales

Test for nominal scale data

A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice.

Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications.

Contents:

Testing data for normality

Comparing two related samples : the Wilcoxon signed ranks test

Comparing two unrelated samples : the Mann-Whitney U-test

Comparing more than two related samples : the Friedman test

Comparing more than two unrelated samples : the Kruskal-Wallis H test

Comparing variables of ordinal or dichotomous scales : Spearman rank-order, point-biserial, and biserial correlations

Tests for nominal scale data : chi-square and Fisher exact test

Test for randomness : the runs test.

Notes:

Includes bibliographical references (pages 243-244) and index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on print version record.

Local Notes:

Acquired for the Penn Libraries with assistance from the E. Digby Baltzell Fund.

ISBN:

9781118165881

1118165888

Publisher Number:

99982654629

Access Restriction:

Restricted for use by site license.