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 …
The Multiverse! Dances, and More, From Pierre in Paris Read more »
At the end of the month (March 2019) the American Statistical Association will publish a special issue on statistical inference “after p values”. The goal of the issue is to focus on the statistical “dos” rather than statistical “don’ts”. Across …
Joining the fractious debate over how to do science best Read more »
Once we have a CI, a p value adds nothing, and is likely to mislead and to tempt the writer or readers to fall back into mere dichotomous decision making (boo!). So let’s simply use estimation and never report p …
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 …
Teaching The New Statistics: The Action’s in D.C. Read more »
Statistical Cognition (SC) is the study of how people understand–or, quite often, misunderstand–statistical concepts or presentations. Is it better to report results using numbers, or graphs? Are confidence intervals (CIs) appreciated better if shown as error bars in a graph …
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 …
My long-time friend and colleague Mike Sharples told me about the recently released Innovating Pedagogy 2019 report from The Open University (U.K.). It’s the seventh in an annual series initiated by Mike. Each report aims to describe a number of …
Play, Wonder, Empathy – Latest Educational Trends, Says The Open University Read more »
Inadequate sample sizes are kryptonite to good science–they produce waste, spurious results, and inflated effect sizes. Doing science with an inadequate sample is worse than doing nothing. In the neurosciences, large-scale surveys of the literature show that inadequate sample sizes …
Sizing up behavioral neuroscience – a meta-analysis of the fear-conditioning literature Read more »
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 …
Sadly, Dichotomous Thinking Persists in HCI Research Read more »