Kolmogorov and Levene
Kolmogorov and Levene
I check Kolmogorov for all data and are >0.05 after for repeated measures anova, for Levene test, 3 of my 4 variables are <0.001. Should I change for non parametric anova?

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 Joined: Mon Sep 18, 2023 4:12 am
Re: Kolmogorov and Levene
If you did the KolmogorovSmirnov test and found that the data for your dependent variable in the repeated measures ANOVA are normally distributed (p > 0.05), this means that the assumption of normality is met for that variable. This is proof that parametric analysis, like the repeated measures ANOVA, should be used connections puzzle
But if the Levene's test for homogeneity of variances shows that the variances of your groups are significantly different (p 0.05) for three out of the four variables, it suggests that the assumption of homogeneity of variances has been broken. In this situation, you might want to use something other than the repeated measures ANOVA.
But if the Levene's test for homogeneity of variances shows that the variances of your groups are significantly different (p 0.05) for three out of the four variables, it suggests that the assumption of homogeneity of variances has been broken. In this situation, you might want to use something other than the repeated measures ANOVA.
Re: Kolmogorov and Levene
What type of test would be the best option in this case? Everything I've reviewed so far suggests using nonparametric tests. The data transformation has been tested with several options and the result for the Levene test remains the same.reclusivestupid wrote: ↑Mon Sep 18, 2023 4:16 am If you did the KolmogorovSmirnov test and found that the data for your dependent variable in the repeated measures ANOVA are normally distributed (p > 0.05), this means that the assumption of normality is met for that variable. This is proof that parametric analysis, like the repeated measures ANOVA, should be used connections puzzle
But if the Levene's test for homogeneity of variances shows that the variances of your groups are significantly different (p 0.05) for three out of the four variables, it suggests that the assumption of homogeneity of variances has been broken. In this situation, you might want to use something other than the repeated measures ANOVA.
Re: Kolmogorov and Levene
I could see your answer but I dont understand it. It´s simple my question.