„This would be a very useful resource for courses in nonparametricstatistics in which the emphasis is on applications rather than ontheory. It also deserves a place in libraries of all institutionswhere introductory statistics courses are taught.“ (CHOICE, March 2010)
Nonparametric Statistics for Non-Statisticians
A Step-by-Step Approach
von Gregory W. Corder und Dale I. ForemanA practical and understandable approach to nonparametricstatistics for researchers across diverse areas of study
As the importance of nonparametric methods in modern statisticscontinues to grow, these techniques are being increasingly appliedto experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge tocorrectly apply these methods. Nonparametric Statistics forNon-Statisticians: A Step-by-Step Approach fills a void in thecurrent literature by addressing nonparametric statistics in amanner that is easily accessible for readers with a background inthe social, behavioral, biological, and physical sciences.
Each chapter follows the same comprehensive format, beginningwith a general introduction to the particular topic and a list ofmain learning objectives. A nonparametric procedure is thenpresented and accompanied by context-based examples that areoutlined in a step-by-step fashion. Next, SPSS® screencaptures are used to demonstrate how to perform and recognize thesteps in the various procedures. Finally, the authors identify andbriefly describe actual examples of corresponding nonparametrictests from diverse fields.
Using this organized structure, the book outlines essentialskills for the application of nonparametric statistical methods, including how to:
A detailed appendix provides guidance on inputting and analyzingthe presented data using SPSS®, and supplemental tables ofcritical values are provided. In addition, the book's FTP sitehouses supplemental data sets and solutions for furtherpractice.
Extensively classroom tested, Nonparametric Statistics forNon-Statisticians is an ideal book for courses on nonparametricstatistics at the upper-undergraduate and graduate levels. It isalso an excellent reference for professionals and researchers inthe social, behavioral, and health sciences who seek a review ofnonparametric methods and relevant applications.
As the importance of nonparametric methods in modern statisticscontinues to grow, these techniques are being increasingly appliedto experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge tocorrectly apply these methods. Nonparametric Statistics forNon-Statisticians: A Step-by-Step Approach fills a void in thecurrent literature by addressing nonparametric statistics in amanner that is easily accessible for readers with a background inthe social, behavioral, biological, and physical sciences.
Each chapter follows the same comprehensive format, beginningwith a general introduction to the particular topic and a list ofmain learning objectives. A nonparametric procedure is thenpresented and accompanied by context-based examples that areoutlined in a step-by-step fashion. Next, SPSS® screencaptures are used to demonstrate how to perform and recognize thesteps in the various procedures. Finally, the authors identify andbriefly describe actual examples of corresponding nonparametrictests from diverse fields.
Using this organized structure, the book outlines essentialskills for the application of nonparametric statistical methods, including how to:
A detailed appendix provides guidance on inputting and analyzingthe presented data using SPSS®, and supplemental tables ofcritical values are provided. In addition, the book's FTP sitehouses supplemental data sets and solutions for furtherpractice.
Extensively classroom tested, Nonparametric Statistics forNon-Statisticians is an ideal book for courses on nonparametricstatistics at the upper-undergraduate and graduate levels. It isalso an excellent reference for professionals and researchers inthe social, behavioral, and health sciences who seek a review ofnonparametric methods and relevant applications.