Category: Teaching

The New Statistics for Neuroscientists

This summer I (Bob) was asked to write a series of perspective pieces on statistical issues for the Journal of Undergraduate Neuroscience. My first effort has just been published (Calin-Jageman, 2017)–it is a call for neuroscience education to shift away

Beyond p values – Dispatches from the ASA symposium on statistical inference

The next couple of posts will be about my experience at the ASA conference on statistical inference: A World Beyond p < .05. The first session featured Steve Goodman and John Ioannidis (who Skyped in from Australia).  One highlight was

The joy of many disciplines

One of the great things about working in psychology, or statistics, or–just imagine!– both, is that you can get to play in the backyards of many other folks. As science becomes more and more fragmented, and many researchers feel that

Pictures of uncertainty: Dancing with Pierre in Paris

A while back I wrote a post about Pierre Dragicevic, an HCI researcher in Paris who for years has been working to persuade researchers in his field to adopt better statistical methods. I wrote about his wonderful talk that presents

From NHST to the New Statistics — How do we get there?

APS just wrapped up.  Geoff and I were privileges to help host a symposium on making progress moving the field away from p values towards the New Statistics.  Our co-conspirators were fellow text-book author Susan Nolan, Psychological Science editor Stephen

from the APS Convention in Boston

Bob and I are in Boston this weekend for the annual APS Convention. It’s great to catch up, and discuss a million things about ITNS and this blog, and our future plans. Our publisher told us yesterday that early signs

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