Share Share
Text size Increase font size Decrease font size
Share Share
Text size Increase font size Decrease font size

Book

Non-parametric Tests

What are non-parametric tests? When should non-parametric tests be used ? What types of basic non-parametric test are there? Up to now we have described tests that are known as parametric tests. These tests rely on the data being distributed in a certain way (quite often, normally). Parametric tests are thought to be the most powerful tests, as they allow very in-depth statistical interrogation and testing of data. Unfortunately a substantial number of the data we collect in relation to health care research are not normally distributed and our ability to transform such data to a normal distribution is limited (see Chapter 13). This chapter will introduce a range of tests that do not rely on the data conforming to a certain distribution. As such they can be used with data that are not normally distributed. They are known as non-parametric tests. We have already come across one group χ ...

Users without a subscription are not able to see the full content on this page. Please, subscribe or login to access all Methods content.

Click here to see full text

Articles in SAGE Journals by

Articles in Google Scholar by