I have a data with two variables - one variable is quantitative, and one is nominal (4 categories). I ran the normality tests and it turned out that this quantitative variable is not normally distributed. When I checked Levene's test it turned out that the variance is not equal either. Therefore instead of Anova I thought about Kruskal-Wallis test, but still the test assumption is that the variance between the groups is equal. Can I simply run Anova with Welch statistics additionaly and that would be fine? (in SPSS).
What more: I have near 3000 observation, so on charts I see that the data are normally distrubuted but are right-skewed and kurtosis is bigger (that's probably why tests showed not-normal distribution).
Thanks for any suggestion! Mary