Category: Open Science

eNeuro’s new push to encourage estimation

eNeuro, one of the two journals published by the Society for Neuroscience, has revised its author guidelines to encourage estimation. That’s great news. Here is: The announcement and comment from editor Christophe Bernard An accompanying commentary from us that explains

‘Open Statistics’: It’s All Happening in Italy

I knew good things were happening at the University of Bologna this (northern) summer. Now I know the details. The brochure is here, and this is part of the title page: What do they mean by ‘Open Statistics’? As I

The New Statistics Videos: 5 Years On

This week’s news email from the APS includes this interesting item: Aha, I thought, they are giving publicity to Tamara and Bob’s wonderful workshop at the APS Convention last month. Great! But the link didn’t go to the materials for

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,

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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