From the course: Introduction to jamovi
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Kruskal-Wallis test - jamovi Tutorial
From the course: Introduction to jamovi
Kruskal-Wallis test
- [Instructor] Each version of the analysis of variance that we've looked at so far in Jamovi has something in common, and that is that they all rely on population parameters or assumptions about population parameters, like the population mean or the population variance. So, the one-factor or two-factor analysis of variance, the repeated measures analysis of variance, the ANCOVA, the analysis of covariance, even the multi-varied analysis of covariance, all of them have this parametric assumption in common. It's very, really it's typical among analyses, but there are other options. These are called non-parametric tests, and they're ones that don't make assumptions about population parameters. And traditionally, they're based on ranks, and so for the analysis of variance, the one-way version, the non-parametric, or ranked version of it, is called the Kruskal-Wallis test. And it's actually really easy to set up. If you're concerned about non-normal distributions, this might be a good…
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