01 April 2021 3 4K Report

I'm working on an EEG experiment using the oddball paradigm. My experiment already has 2 within-subject factors. I want to introduce a third factor but I don't want to make the experiment too long.

Thus, If I make the third factor within-subject, I will have to cut the number of my target trials by half; if I keep the number of target trials, I will have to make the factor between-subject.

I know from stats classes that a between-subject design gives far less power than a within-subject design and the disadvantage probably can't be offset by doubling the trials. But I assume such a difference is based on simulated data or behavioral data with less noise than the brain data.

I'm wondering for the EEG data, which gives more power, a within-subject factor or a between-subject factor with trials doubled?

Thank you!

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