I am currently analyzing multi-group data using a two-way ANOVA (Group × Time), and I would like to know how to perform a post-hoc test using the Bonferroni method in JMP.
Normally, I use Tukey’s HSD for multiple comparisons, I am required to report the results using Bonferroni-adjusted comparisons as well.
I have checked the JMP help documentation and found explanations for multiple comparison methods in one-way ANOVA (Tukey, Dunnett, etc.).
However, I could not find a clear description of how to apply Bonferroni adjustment after a two-way ANOVA, especially from the “Least Squares Means” platform.
Could you please advise on the following points?
When the interaction is significant, what is the correct procedure in JMP to perform simple effects comparisons with Bonferroni adjustment after a two-way ANOVA (Fit Model)?
In nonparametric explanations, Bonferroni is sometimes described as “multiplying each t‑test p-value by the number of comparisons.”
Is this interpretation acceptable in JMP as well, or is there a recommended built‑in method for Bonferroni adjustment?
Any guidance would be greatly appreciated.
Thank you very much.
Best regards,
