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The claimed effect size is about a zillion times higher than is plausible

Joe Hilgard writes:

Some years ago, you blogged about a research article by Hasan and colleagues (2013).

I had tried to direct your attention to the narrowness of the error bars, which I found suspicious. What I was really trying to say was that the effect size was much, much too big — by day 3, it is 3.5 standard deviations, or an R^2 of 78%.

I’ve finally managed to publish an article pointing out how implausibly massive that effect size is. I find that a much stronger manipulation yields a large effect size that is still only half as large as the original authors’ effect. It seems that there’s some kind of serious error in the original research.

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