Can you tell when error bars based on 95 % CIs or standard errors correspond to a significant p-value? Don’t fret if you think it’s hard, a study from 2005 showed that researchers in psychogoly, behavior neuroscience and medicine had a hard time judging when error bars from two independent groups signified a significant difference
Why are physicists talking about 5-sigma, and what’s it got to do with statistics? In this short post I’ll explain what 5-sigma is and why it’s not a measure of how certain scientist are that they’ve found the Higgs boson
When talking about confidence intervals, Jacob Cohen famously said: “I suspect that the main reason they are not reported is that they are so embarrassingly large!” (Cohen, 1994). In this post I’ll take a look at the relationship between the 95 % CI for Cohen’s d and it’s corresponding sample size.
Last week a group of Dutch scientists published a study providing further evidence of mindfulness’ ability to bolster creativity. Specifically they looked at if open awareness differed from focused attention in increasing divergent thinking
A new interesting study by Teper and Ingzlict (2012) examined the effect of meditation practice on executive control. Many studies have shown that meditation does indeed enhance executive control. But in this study the researchers look more at why meditation is effective in enhancing executive control, and not so much if it’s effective.
Background I believe there’s some information to be gained from looking at publication trends over time. But it’s really troublesome to do it by hand; fortunately it’s not so troublesome to do it in R statistical software. Though, data like these should be interpreted with extreme caution ...