Fit Model - Custom Test

[#1]

Hello everybody,

I have a question regarding the Fit Model platform. Let's say that I am working with the Big Class data table. My Y variable is height and I have two effects in my model: age and sex.

I would like to know if the height difference between the groups 12 and 17 for M is significantly different from the height difference between the groups 12 and 17 for F. I think I can use the "Custom Test" feature but I am not sure of how to do that properly...

Thanks in advance!

[#2]

Did you search the discussions for this topic first? There is a good discussion that might help you. You can find it here.

[#3]

Hi @Mark_Bailey 

Thanks this post is really helping indeed! In my example I have 3 treatments (A,B, C) and 2 Times (T0, T1) and I want to know if the difference between T1 and T0 is significantly different between the treatments.

If I understand correctly the first step of your post, in my situation the difference between T1 and T0 (T1-T0 = -T0-T0 = -2 T0) for the treatment A correspond to the following coefficients [0, -2, 0, 0,2,0,0]? I am not sure for the interaction term...

[#4]

You can use contrasts instead of a custom test, although they are equivalent. I think that the contrast is easier to build and interpret. Set them up like this (mock up of data):

[#5]

Hi @Mark_Bailey ,

Thanks for your answer! If I understand correctly, in your example you test that the difference between T0 and T1 is significantly different from 0 for each treatment. So if I want to know if the gap T0-T1 is different between two treatments, I need to subtract the corresponding columns?

But I've probably missed something because I get a warning:

[#6 · Accepted solution]

I just accidentally found this discussion again and realized that I never responded. Yes, you set up the contrasts correctly. You could also use the Custom Test feature to achieve the same result, but it would take more thought to obtain the correct coefficients for the parameters:

[#7]

Perfect, thank you for the confirmation @Mark_Bailey!

And what does the warning mean in that case?

[#8]

The individual tests are valid but the joint test is invalid. Just don't use the results for the joint test.

[#9]

Ok, thanks again for your help!