Are there any assumptions regarding the response data that need to be met before analyzing DSD?I just conducted my first DSD study and just wanted understand some of the inner workings behind it that I couldn't find/understand from the JMP manual here.
- I want to understand if there are any assumptions regarding the response data that need to be met prior to analysis by the "Fit Definitive Screening" script. I am asking this because if you want to run a ANOVA test, you need to ensure that the data is normal, so just wondering if there are any similar assumptions that need to be met before analyzing the data.
- Why does the "Fit Definitive Screening" script display a Main Effect Residual Plot and not simply a Main Effect plot (as is common in two-factor designs)? Furthermore, as mentioned in the link above, I am not able to grasp why "A factor with residuals that differ across levels indicates an important main effect"?
- Why does the script not display an interaction plot? Is this something to do with the structure of the DSD?
Design of Experiments
