>> I am now trying to interpret the output from these analyses and am not sure whether to look at:
>>
>> #1 (Intercept) F
This is the intercept in the model, which is of no interest to most people.
>> #3 Session: Anxiety F
Interaction between Session and Anxiety
>> #8 T1-Anxiety
>> #9 T1-Anxiety Z
>> #10 Session_Anxiety
>> #11 Session_Anxiety Z
You specified these tests through -gltCode, so you should know what you meant to get.
>> Our primary question is how connectivity from T1 to T2 is associated with change in anxiety from T1 to T2.
Is the following what you want:
-gltLabel 4 'Session_Anxiety' -gltCode 4 'Session : -1*T1 1*T2 Anxiety :' \
>> I had entered the mean value for qVarCenters, but since there are important differences between the
>> mean of Anxiety at T1 and T2, should I be entering two separate means here? Or not have the qVarCenters option?
I recommend that you center Anxiety at T1 and T2 separately, and then feed the numbers into the table for 3dLME.
>> in regards to thresholding, what would you recommend as a threshold?
Personally I don't like thresholding because of its arbitrariness. For publication purpose, you can use p-value of 0.01 or below.
Gang
