Hello all,
I would like some feedback on the right approach of analysing data, comparing means of groups of data.
Currently I work with the following 5 steps to analyse my data. Is this approach correct or how do you analyse your data if you do it differently?
1) I test for normality with boxplots, histograms and the shapiro wilk test for normality
2) I check for homoscedasticity with the levene test
3) if 1 and 2 are positive I do parametric tests if not non parametric tests
4) PARAMETRIC TESTS
4a) if there are only two groups to compare I use the t-test
4b) if there are more groups to compare I use ANOVA to check for differences in means
4c) if there are differences I use the Tukey test for pairwise comparison
5) NON PARAMETRIC TESTS
5a) if there are only 2 groups to compare I use the Wilcoxon rank sum test, is this test the same as the Mann Whitney test?
5b) if there are more groups to compare I use the Kruskal Wallis test to check for differences in means
5c) if there are differences I do pairwise comparison with the kruskalmc test Are there good alternatives for this test?
Kind Regards
Joachim
I would like some feedback on the right approach of analysing data, comparing means of groups of data.
Currently I work with the following 5 steps to analyse my data. Is this approach correct or how do you analyse your data if you do it differently?
1) I test for normality with boxplots, histograms and the shapiro wilk test for normality
2) I check for homoscedasticity with the levene test
3) if 1 and 2 are positive I do parametric tests if not non parametric tests
4) PARAMETRIC TESTS
4a) if there are only two groups to compare I use the t-test
4b) if there are more groups to compare I use ANOVA to check for differences in means
4c) if there are differences I use the Tukey test for pairwise comparison
5) NON PARAMETRIC TESTS
5a) if there are only 2 groups to compare I use the Wilcoxon rank sum test, is this test the same as the Mann Whitney test?
5b) if there are more groups to compare I use the Kruskal Wallis test to check for differences in means
5c) if there are differences I do pairwise comparison with the kruskalmc test Are there good alternatives for this test?
Kind Regards
Joachim