Year: 2019

The Cookie-Monster Study: The highly influential memory of a long-lost study

In psychology, there are a few studies so famous and influential that they have proper names: The Good Samaritan Study, the Asch Obedience Study, the Marshmallow test, etc, etc. Approaching this echelon is the “Cookie Monster Study”, an increasingly-famous study

Reply to Lakens: The correctly-used p value needs an effect size and CI

Updated 5/21: fixed a typo, added a section on when p > .05 demonstrates a negligible effect, and added a figure at the end. Daniel Lakens recently posted a pre-print with a rousing defense of the much-maligned p-value: In essence, the

The TAS Articles: Geoff’s Take

Preregistration: Why and How

Prereg Workshop at APS Steve Lindsay usefully posted a comment to draw our attention to the Preregistration Workshop on offer at the APS Convention coming up shortly in D.C.. You can scan the full list of Workshops here–there are lots

Judging Replicability: Fiona’s repliCATS Project

Judging Replicability Whenever we read a research article we almost certainly form a judgment of its believability. To what extent is it plausible? To what extent could it be replicated? What are the chances that the findings are true? What

APS Publicises the TAS Articles

The APS has just released this Research Spotlight item: Suddenly it’s more than 5 years since APS made some important and very early steps to promote Open Science and new-statistics practices. Back in Jan 2014, then Editor-in-Chief of Psychological Science,

Ditching Statistical Significance: The Most Talked-About Paper Ever?

Well, that might be a stretch, but in relation to the Nature Comment that Bob and I signed to support, Altmetric tweeted: John Ioannidis published this criticism of the Comment, with the subtitle Do Not Abandon Significance. Much of what

Moving Beyond p < .05: The Latest

A couple of days ago, the three authors of the Nature paper accompanying the special issue of TAS on moving beyond p < .05 sent the update below. (See below for lots of links.) We are writing with a brief

Moving to a World Beyond “p < 0.05”

The 43 articles in The American Statistician discussing what researchers should do in a “post p<.05” world are now online. See here for a list of them all, with links to each article. The collection starts with an editorial: Go

Ditching Statistical Significance?!

Nature (!) has just published an editorial discussing and advocating that statistical significance should be ditched. For me, that’s the stuff of dreams, but I have lived to see it happen! I’m so happy! Here’s one para from the editorial:

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