Hi all,
We are running a study in which the same participants will be invited back to complete the same IATs multiple times, across a period of one year.
We would like to make sure that three things are constant across administrations of the study for each participant:
(1) The order of the two IATs
(2) The order of explicit and implicit measures
(3) The order of the critical blocks in each IAT
In the past I have used a participant-provided variable to set a random seed to keep certain types of randomization constant across time points (e.g., which image gets assigned to be the experimental target and which to be the control target in a learning paradigm). Here I'm a little unsure as to whether the same technique can be used because my understanding is that at least the order of tasks should already be determined when the manager file is loaded, which is at the very beginning of the study, before the participant can provide the number sequence used as the random seed.
I'm also not totally sure how to use this technique to keep the IAT block order constant. Is there a way to do it within the IAT task itself, or should I just create two separate IAT files (one with congruent first and one with incongruent first order) and then just select among those tasks?
Thank you so much for your help in advance!