- Summary
- Contents
- Subject index
With the inclusion of real-world data and a host of health-related examples, this is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text avoids using long and off-putting statistical formulae in favor of non-daunting practical and SPSS-based examples. What’s more, its content will fit ideally with the common course content of stats courses in the field.
Chapter 10: Non-Parametric Tests
Non-Parametric Tests
Introduction
Sometimes it is not possible to use the statistical tests described in Chapter 9 because the data violate the assumptions of those tests. For example, the data may be skewed and it is not possible to transform it. However, such data also need to be analysed because their results can make a valuable contribution to knowledge. For this situation an alternative set of statistical tests called non-parametric tests exist, they do not have any underlying assumptions.
This chapter will continue by describing a number of non-parametric tests one by one, including the circumstances in which they are used and examples of how to carry out the tests in SPSS.
This chapter will be illustrated using a small dataset of participants who were hospitalised as ...
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