Category: Open 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:

The Multiverse! Dances, and More, From Pierre in Paris

Our Open Science superego tells us that we must preregister our data analysis plan, follow that plan exactly, then emphasise just those results as most believable. Death to cherry-picking! Yay! The Multiverse But one of the advantages of open data

Teaching The New Statistics: The Action’s in D.C.

The Academy Awards are out of the way, so we can focus on what’s really important: the APS Convention, May 23-26, 2019, in Washington D.C. For the first time for many years I won’t be there, but new-statistics action continues

A Second Edition of ITNS? Here’s the Latest

Our first blog post about a possible second edition of ITNS is here. All the comments I made there, and the questions I asked, remain relevant. We’ve had some very useful feedback and suggestions, but we’d love more. You could

Sadly, Dichotomous Thinking Persists in HCI Research

A few words about the latest from Pierre Dragicevic. He’s an HCI researcher in Paris who totally gets the need for the new statistics. I’ve written about his work before, here and here. Now, with colleague Lonni Besançon, he reports

Open Science DownUnder: Simine Comes to Town

A week or two ago Simine Vazire was in town. Fiona Fidler organised a great Open Science jamboree to celebrate. The program is here and a few of the sets of slides are here. Simine on the credibility revolution First

Cabbage? Open Science and cardiothoracic surgery

“The best thing about being a statistician is that you get to play in everyone’s backyard.” –a well-known quote from John Tukey. Cabbage? That’s CABG–see below. A week or so ago Lindy and I spent a very enjoyable 5 days

Internal Meta-Analysis: Useful or Disastrous?

A recent powerful blog post (see below) against internal meta-analysis prompts me to ask the question above. (Actually, Steve Lindsay prompted me to write this post; thanks Steve.) In ITNS we say, on p. 243: “To carry out a meta-analysis

Top