Nonparametric statistics for non-statisticians: a step-by-step approach

This book presents nonparametric statistical procedures in a clear manner andwas specifically written for readers with a background in the social, behavioral, and health sciences. The book follows the same format in all chapters to aid in reader comprehension, and each chapter begins with a general introduction and a list of the chapter's main learning objectives. A nonparametric procedure is then presented and is followed by context-based examples in a step-by-step fashion. Next, SPSS screen captures are used to demonstrate how to perform and how to identify the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametrictests from diverse fields. Data sets and solutions are provided in an appendix, and tables of critical values are also provided for reader reference. Chapter coverage includes: Nonparametric Statistics: An Introduction; Testing Your Data for Normality; Comparing Two Related Samples: The Wilcoxon Signed Rank Test; Comparing Two Unrelated Samples: The Mann-Whitney U Test; Comparing More Than Two Related Samples: Friedman's Test; Comparing More Than Two Unrelated Samples: 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 Tests; and Test for Randomness: Runs Test.

• ISBN: 978-0-470-45461-9
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 247
• Fecha Publicación: 05/06/2009
• Nº Volúmenes: 1
• Idioma: Inglés