https://community.jmp.com/t5/Discussions/Non-normal-and-unequal-variance/m-p/965668#M110397 Hello everyone,<BR /><BR />I am analyzing a dataset with three treatment factors. The data satisfy the normality assumption but violate the assumption of homogeneity of variance. I understand that Welch’s ANOVA may not be appropriate because I want to evaluate the main effects of each factor as well as their interactions.<BR /><BR />In another scenario, the data violate both the normality and homogeneity of variance assumptions.<BR /><BR />What statistical approaches would you recommend for analyzing these two scenarios while accounting for the three-factor experimental design?<BR /><BR />Thank you. Sat, 22 Aug 2026 15:11:01 GMT Tyiffy 2026-08-22T15:11:01Z https://community.jmp.com/t5/Discussions/Non-normal-and-unequal-variance/m-p/965668#M110397 Hello everyone,<BR /><BR />I am analyzing a dataset with three treatment factors. The data satisfy the normality assumption but violate the assumption of homogeneity of variance. I understand that Welch’s ANOVA may not be appropriate because I want to evaluate the main effects of each factor as well as their interactions.<BR /><BR />In another scenario, the data violate both the normality and homogeneity of variance assumptions.<BR /><BR />What statistical approaches would you recommend for analyzing these two scenarios while accounting for the three-factor experimental design?<BR /><BR />Thank you. Sat, 22 Aug 2026 15:11:01 GMT https://community.jmp.com/t5/Discussions/Non-normal-and-unequal-variance/m-p/965668#M110397 Tyiffy 2026-08-22T15:11:01Z