On 10/24/2012 5:31 AM, Stephen P. King wrote:
http://www.frontiersin.org/Perception_Science/10.3389/fpsyg.2012.00390/abstractComments?
Woo-woo. Small effect sizes which are *statistically* significant are indicative of bias errors. I'd wager a proper Bayesian analysis of the original data will show they *support* the null hypothesis (c.f. "Testing Precise Hypotheses" Berger & Delampady, Stat Sci 1987 v2 no. 3 317-352 and "Odds Are It's Wrong" Tom Siegfried, Science News 27 Mar 2010). Meta-analyses are notoriously unreliable and should only be considered suggestive at a best.
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