Hi,
Well, if you’re into trial-by-trial effects, the way I went about this (Spapé & Hommel, 2008) is by just programming the sequence within the same trial procedure, so you have
S1: [stimulus1]
Response (maybe FB)
S2: [stimulus2]
Response (maybe FB)
Then next trial.
So you get to put into the same list
Stimulus1 Stimulus2
LLLLL LLLLL
LLLLL LLRLL
LLLLL RRLRR
LLLLL RRRRR
LLRLL LLLLL
LLRLL LLRLL
LLRLL RRLRR
LLRLL RRRRR
…and so on. Randomise across 16 possibilities.
Of course, this doesn’t quite balance the S2->S3 frequencies, but since S1->S2 IS balanced, you’ll find a much better balance across trial types overall. Alternatively, crunch the math with python/MATLAB and just load a list prior to each participant.
Best,
Michiel
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