When running an anova, jamovi provides several effect sizes but non when we run a Kruskal-Wallis test. Do you think it's possible to add this feature ?
There is a discussion on ResearchGate.net about this subject with the explanations on how to achieve such a value:
epsilon squared (Tomczak and Tomcszak 2014).
k = kruskal.test(dv ~ iv, data = data)
k$statistic * (NROW(health) + 1)
/ (NROW(health) * NROW(health) - 1)
(used in my R book - https://vorpress.com/r/index.htm)
coledavis wrote:epsilon squared (Tomczak and Tomcszak 2014).
k = kruskal.test(dv ~ iv, data = data)
k$statistic * (NROW(dv) + 1)
/ (NROW(dv) * NROW(dv) - 1)
(used in my R book - https://vorpress.com/r/index.htm)