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.
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 …
Cognitive Behavioral Therapy is the psychological treatment of choice for many, if not all, mental disorders. Nonetheless a majority of US clinical psychologist do not primarily identify themselves as either cognitive or behavioral therapists. Looking at data from PubMed publication counts a clear picture emerges -- psychodynamic researchers might be research loafers.