
Nonparametric Statistics for Health Care Research
Statistics for Small Samples and Unusual Distributions
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Nonparametric Statistics for Health Care Research
Statistics for Small Samples and Unusual Distributions
About this book
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 scenariosāresearch undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts,Ā andĀ how to present the results in table and text format.Ā
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Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Contents
- Preface
- Acknowledgments
- About the Author
- Chapter 1 Overview of Nonparametric Statistics
- Chapter 2 The Process of Statistical Hypothesis Testing
- Chapter 3 Evaluating the Characteristics of Data
- Chapter 4 āGoodness-of-Fitā Tests
- Chapter 5 Tests for Two Related Samples: Pretest-Posttest Measures for a Single Sample
- Chapter 6 Repeated Measures for More Than Two Time Periods or Matched Conditions
- Chapter 7 Tests for Two Independent Samples
- Chapter 8 Assessing Differences Among Several Independent Groups
- Chapter 9 Tests of Association Between Variables
- Chapter 10 Logistic Regression
- Chapter 11 Epilogue
- Appendix: Statistical Tables
- References
- Author Index
- Index