Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game.

Describing marginally significant effects also puts you in the awkward position of describing a threshold for marginal significance – will it be 0.06, 0.07, 0.08?

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In addition, “marginally significant effects” do not exist: the false positive error rate must be decided before the experiment is run and cannot be re-adjusted after looking at the data; because p values are not accurate, even if you use robust statistics, in practice it might be impossible to dissociate, e.g., p = 0.04 from p = 0.06.

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