Is using ANOVA considered right for group to group in this case?
I am really happy to find the right forum which can help me.
I had divided a number of 671 children into three groups according to the style of their parentsí treatment, which are (Democratic, permissive, authoritarian), I want to test if level of education of the parents affect the style of parents treatment of their children. But I donít know the right tool which I should use.
I had used ANOVA and post hoc, but the results of post hoc is not going right with ANOVA.
Re: Is using ANOVA considered right for group to group in this case?
Hi, you should use ANOVA and the corresponding tests only if your data meet the assumptions of ANOVA, the most important being that your residuals are normally distributed, with 0 mean and identical variance. You can check these assumptions using a normality test and a variance test. If you are afraid of not meeting the normality assumptions, you can use the Kruskal Wallis test that also allows post hoc test for multiple comparisons. For the KW test, I recommend StatXact or XLSTAT as they have exact and Monte Carlo based p-values. For the post hoc test R and XLSTAT are probably the most complete.