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

What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research was developed for such scenarios--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. This volume will help you select and interpret the most appropriate statistical tests to enable you to assess the effectiveness of a particular intervention. Beginning with a general overview of nonparametric statistics, Marjorie A. Pett takes the reader through a review of 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 groups, and tests for association between variables.

For professors and professionals in the fields of nursing, public health, psychology, and primary care, this volume is an invaluable addition to their personal or professional library.