Author: Geoff Cumming

To Understand (or Teach) CIs, Adopt an Estimation Mindset

Update 8 June. Some minor tweaks. Addition of the full reference for two papers mentioned. Of course I would say that, wouldn’t I?! It’s the basis of ITNS and a new-statistics approach. But the latest issue of SERJ adds a

Do People Have a Binary Bias?

For years I’ve been working on changing my thinking–even when just musing about nothing in particular–from “I wonder whether…” to “I wonder to what extent…”. It has taken a while, but now I usually do find myself thinking in terms

A Promising Textbook? I Don’t Think So

Updated 30 May 2019. A few tweaks to the text below. I have now had a chance to have a squiz at the book itself. Bob has also seen the book and given a quick opinion. I am confirmed in

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

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