Interpretation of the output

The blocks of trials are created from the rows in the excel stimuli file. The stimuli are presented more than once. The trials. variables describe which trial by order of presentation a row refers to, or which stimulus (row) it comes from in the excel file, or which repetition of this list of rows the task was on (as each is presented more than once). The blocks. variables refer to the repetition of the block of trials or which block type the task is currently on (eg attributes, targets, both, and which mapping). If you view the task in psychopy builder mode you can see the naming scheme fore the loops and trials, which form the blocks and trials respectively. You should be able to reverse engineer what is what from there. I haven’t documented this better as you shouldn’t usually need it if you’re just calculating D scores etc.

On Mon 12 Sep 2022 at 17:46 justinelinlin @.***> wrote:

Thanks for the great psychopy IAT code. I have a problem with the interpretation of the output result. What does each of the following columns mean? blocks.thisRepN, blocks.thisTrialN, blocks.thisN, blocks.thisIndex, trials.thisRepN, trials.thisTrialN, trials.thisN, trials.thisIndex

Thanks!

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ianhussey / ImplicitAssociationTest

Interpretation of the output #11