Category: The New Statistics

Precision for Planning: Great New Developments

–updated with a link from Ken Kelley to access the functions in the paper, 6/28/2018– In a new-statistics world, the best way to choose N for a study is to use precision for planning (PfP), also known as accuracy in

Effect Sizes for Open Science

For the last 20 years or so, many journals have emphasised the reporting of effect sizes. The new statistics emphasised also the reporting of CIs on those effect sizes. Now Open Science places effect sizes, CIs, and their interpretation centre

APS in San Fran 3: Workshop on Teaching the New Stats

Tamarah Smith and Bob presented a workshop on Teaching the New Stats to an almost sold-out crowd. I wasn’t there, but by all reports it went extremely well. Such a workshop seems to me a terrific way to help interested

APS in San Fran 2: Symposium on Teaching the New Stats

Our symposium was titled Open Science and Its Statistics: What We Need to Teach Now. The room wasn’t large, but it was packed, standing room only. I thought the energy was terrific. There were four presentations, as below. Bob and

Tony Hak 1950-2018: Champion of Better Methods, Better Statistics

It was a shock to receive the very sad news that Tony Hak died last week, unexpectedly. Too young! And only 3 years into an active retirement. Tony was an Emeritus Associate Professor, having retired in 2015 from the Department

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

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