Category: ITNS

Some Questions–Would You Care to Comment?

Blogs sometimes either elicit lots of comments, or they don’t. While writing, I’m always wondering how readers might react, what they (you) might be thinking. In my most recent post I asked about experiences or thoughts readers might have about

Teaching the Forest Plot–What Do You Think?

I’ve been a bit obsessed with the forest plot for, I’d guess, close to 20 years. Partly because I love pictures, partly because the forest plot can tell us so much. I regard it as the beautiful face of meta-analysis.

See you in San Francisco?

I’m delighted to report that our symposium proposed for the APS Convention next May has been accepted. (BTW if you visit that site for the Convention, note the happy people in the top centre pic–our panel from the 2017 Convention.)

Statisticians see the light–Hooray!

“Scientific Method for the Twenty-First Century: A World Beyond p

Open Science and The New Statistics: Be Happy!

In May this year at the APS Convention in Boston, Bob and I ran a symposium with the title From NHST to The New Statistics: How do We Get There? It was great fun. There is a summary here. Next

Video – Getting started with the New Statistics and Open Science

This fall I (Bob) was invited to give a talk at Indiana University as part of a series on good science and statistical practice organized by the university’s Social Science Research Commons (SSRC).  The SSRC is like a core facility

ITNS at SfN17 in DC

As Bob mentioned in his post earlier today, he’s at SfN17, the enormous (30,000+ folks) Neuroscience meeting happening now in Washington DC. Here’s how the SfN site describes the meeting: “SfN’s 47th annual meeting, Neuroscience 2017, is the world’s largest

Adventures in Replication: p values and Illusions of Incompatibility

Here’s an idea I run into a lot in peer reviews of replication studies: If the original study found p < .05 but the replication found p > .05, then the results are incompatible and additional research is needed to

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

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