A comment on “We cannot afford to study effect size in the lab” from the DataColada blog

(This article was originally published at Nicebread, and syndicated at StatsBlogs.)

In a recent post on the DataColada blog, Uri Simonsohn wrote about “We cannot afford to study effect size in the lab“. The central message is: If we want accurate effect size (ES) estimates, we need large sample sizes (he suggests four-digit n’s). As this is hardly possible in the lab we have to use […]

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