Kruskal Wallis Test Table. I searched a lot but unable to find the tables of these two tests in apa. Ratings are examples of an ordinal scale of measurement and so the data are not suitable for a parametric test.
It is analogous to a one way anova but uses ranks of items in various groups to determine the likely significance. The kruskal wallis test does not assume normality in the data and is much less sensitive to outliers than. I run non parametric tests mann whitney u test and kruskal wallis test while analyzing the results of my research.
The appropriate test here is the kruskal wallis test.
If there are at least 5 replicates in each group the critical values are close to the chi squared distribution. The appropriate test here is the kruskal wallis test. Critical values of the kruskal wallis h distribution taken from zar 1984 table b 12. The kruskal wallis test is appropriate when you have non parametric data and one predictor variable section 10 2.
