Replicate a study and you are highly likely to get a very different p value. Scarily different. The sampling variability of p values is so great that no p value deserves our trust. Yes, I know, that’s been my mantra …
I’m excited to report that Max Cairns’s PhD work on the Diamond Ratio (DR) has been accepted for publication by the British Journal of Mathematical and Statistical Psychology. The preprint of the final accepted version is here. The Original DR …
The Diamond Ratio (DR), Our Estimate of Heterogeneity: Accepted for Publication Read more »
Concern about publication bias apparently goes back at least as far at Robert Boyle in the 17th century. That’s Barker Bausell’s starting point for his highly detailed account of the replication crisis and rise of Open Science. Bausell, the author …
Open Science: A Detailed Telling of the Story So Far Read more »
Replacement heart valves, bypasses, transplants: Cardiac surgery research has given us these life-saving goodies, and more. Now this vital research field has joined many others in appreciating the damage that reliance on p values can bring. Our critical review (here) …
Cardiac Surgery: Yet One More Research Field Highly Critical of p Values Read more »
Trying to debunk a conspiracy theory by presenting facts and evidence often doesn’t work ☹ Perhaps prebunking, by giving insight into why fake news can appear credible, might help? To put it another way, psychological inoculation presents a mild form …
This is a post for the nerds, fine people that we are. Actually, everyone needs to think about reporting style, especially for statistical stuff. The APA Publication Manual is the bible of APA Style, also perhaps the bane of some …
The New APA Style: Try to Contain Your Excitement—and Watch Out for Dud Copies Read more »
The APS has just given a kick along to what’s most likely a myth: The Lucky Golf Ball. Alas! Golf.com recently ran a story titled ‘Lucky’ golf items might actually work, according to study. The story told of Tiger Woods …
The Myth (?) of the Lucky Golf Ball Lives On, Alas Read more »
In ITNS we used ‘dunbiased’ to refer to the debiased estimate of Cohen’s δ, which is Cohen’s standardised effect size in the population. In UTNS I used ‘dunb’. But now ‘Hedges’s g’ seems to be gaining currency as a label …
What Should We Call Our Estimate of Cohen’s δ: d-unbiased, Hedges’ g, or Something Else? Read more »
A great new preprint by Marie Delacre (at Université Libre de Bruxelles, marie.delacre@ulb.be) and colleagues (Daniel Lakens, Christophe Ley, Limin Liu, & Christophe Leys) throws valuable light on this question. The title is: Why Hedges’ gs* based on the non-pooled …
Which Standardised Effect Size Measure Is Best When Variances Are Unequal? Read more »
This conference (as in pic below) was planned as a gathering of, maybe, 30 folks. But then it had to go online and the organisers (Kevin Peters and Fegal O’Hagan, of Trent University, and Rob Cribbie, of York University) found …
Teaching Statistics: Great Talks and Resources Now Online Read more »