My experimental design consists of 6 treatments, each of which are measured Before and After a particular application. I want to see if there is any difference between treatments both Before and After the application.
More specifically, I want to know if Treatment 1 Before application is different from the other treatments Before application, and if Treatment 1 after application is different from the other After application treatments. I also want to know if Treatment 1 Before application is different than Treatment 1 After application.
What test is most appropriate? Should I run many 1-Way ANOVAs? I have tried running a 2-Way ANOVA, but this just tells me which treatments are different. I have been unable to distinguish which treatments and dates are different. In other words, I run a post-hoc to tell me that Treatment 1 is different than Treatment 2, and that Before application is different than After application, but it does not tell me if Treatment 1 before application is different than Treatment 2 before application.
I would appreciate any advice or suggestions as I do not have much background with statistics and am out of my depth.