Nonparametric Statistics in Health Care Research

This book will help the reader select and interpret the most appropriate statistical tests to enable the effective assessment of a particular intervention. Beginning with a general overview of nonparametric statistics, Majorie A Pett reviews statistical hypothesis testing and the characteristics of data. She then explores “goodness of fit” tests, tests for two related samples, repeated measures for multiple time periods or matched conditions, tests for two independent samples, tests to assess differences among independent groups and tests for association between variables.