It is not an "error" to refer to effect sizes with respect to false positive discovery rates. "Power" is a value which is calculated from the characteristics of a study, and one of those characteristics is "effect size". You can't change the effect size and not also see a change in the power. You can arrange the characteristics of a study so that the calculation returns a specific value. But then you would need to refer to each of the characteristics individually which allowed you to get there. You certainly wouldn't assume, after hearing that one of those characteristics had been changed, that the other characteristics had been changed in some sort of unspecified manner, as well.
I specifically offered a link which referred to power, including references to power under small, medium and large effects. And I specifically referred to power, and how it depended upon (among other things) effect size.
And Laird and Chris finally seem to be on the same page with respect to this - they recognize that my statement which makes this explicit for them is true. So why make a fuss about this?
Linda
(This post was last modified: 2017-10-29, 02:25 PM by fls.
Edit Reason: clarify terminology
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I just dislike people being dishonest.
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This post has been deleted.