Category: The New Statistics

ITNS–A New Review on Amazon

The ITNS page on Amazon (U.S.) is here. Scroll down to see the 4 reviews by readers. Recently a five-star review was added by Edoardo Zamuner. Here it is: “I am an experimental psychologist with training in NHST. Cumming’s book

We’ve Been Here Before: The Replication Crisis over the Pygmalion Effect

[UPDATE: Thanks to twitter I came across this marvelous book(Jussim, 2012) that does a great job explaining the Pygmalion effect, the controversy around it, and the overall state of research on expectancy effects.  I’ve amended parts of this post based on

The Beautiful Face of a Confidence Interval: The Cat’s Eye Picture

Pawel (Pav) Kalinowski and Jerry Lai completed their PhDs a few years back. A recently published Frontiers article (citation below) reports what was primarily Pav’s research on how people understand confidence intervals (CIs). The short version is “for many people,

Measuring Heterogeneity in Meta-Analysis: The Diamond Ratio (DR)

This is a post about the Diamond Ratio (DR), a simple measure of the extent of heterogeneity in a meta-analysis. We introduced the DR in ITNS. But first, some background. Fixed Effect (FE) model for meta-analysis The diamond at the

Sample-size planning – a short video

Here’s a short talk I gave at the 2017 Society for Neuroscience meeting on sample size planning.  The talk discusses: Why you should plan your sample sizes in advance What not to do (how some common approaches can lead you

Open Science: This Time in Orthodontics

Last month it was the Antarctic Scientists, this month the Orthodontists, and once again I had a most enjoyable time. Lindsay my wife and I are just back from 5 days in Sydney. I was speaking at the 26th Australian

Why effect sizes? A tutorial (especially for Neuroscientists)

The New Statistics emphasizes effect sizes, confidence intervals, meta-analysis, and Open Science.  There’s a lot of momentum to adopt this change of focus.  For example, the APA recently released new guidelines for reporting quantitative research and throughout it emphasizes reporting

The complexity of measuring a ‘simple’ behavior (novelty preference tests seem terrible)

The replication crisis isn’t just about sample size and statistical inference.  Another key issue is measurement: the process of turning observations into quantitative statements about our sample.  It’s tricky.  In many cases we’ve run before we learned to walk, adopting methods

Pre-Print – The New Statistics for Better Science

We have a new preprint on how the New Statistics can save the world (sort of):  It’s for a special issue of the American Statistician on the them of  “Beyond p values”. We welcome your feedback on via email, twitter (@TheNewStats),

Open Science Goes to the Antarctic–Well, Nearly

Have you ever met a Professor of Seaweed? No, nor had I, but now I have: Catriona Hurd. More about her in a moment. I’m just back from two highly enjoyable days visiting IMAS, the Institute of Marine and Antarctic