Nonparametric Statistics in Health Care Research: Statistics for Small Samples and Unusual Distributions

What does one do when the data set from the study one has just completed violates the sample size or other requirements needed to apply parametric statistics? This book was developed for just such a scenario, that is: research undertaken with limited funds, using a small sample of convenience, in a health care setting with the primary objective of improving client care and obtaining better client outcomes. The 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.