[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…
Introduction to the New Statistics
The online community and blog for ITNS
Category: Replication
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…
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): https://psyarxiv.com/3mztg 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),…
Not replicable, but citable
What happens to the reputation of a paper when the results reported cannot be replicated? Here’s a graph of citations/year from two studies–an original and a replication study that found little to no effect. It’s just one example, but it…
It’s not all bad news
Here’s a cool pre-print examining the quality of evidence in studies of the genetics of short-term memory in fruit flies (Tumkaya, Ott, & Claridge-Chang, 2018). The paper conducts a meta-analysis of different genes that have been linked to altered olfactory…
Pre-registration challenge met!
I (Bob) have met the pre-registration challenge! I pre-registered a set of replication studies (Calin-Jageman, 2018), and now that they are published, I’ve received confirmation from the Center for Open Science that I have met the challenge–a check for $1,000…
Say It in Song: Go Forth and Replicate!
Jon Grahe, of Pacific Lutheran University, is an enthusiastic advocate for Open Science and, especially, for student participation in doing Open Science as a key part of education. The Collaborative Replication and Education Project (CREP, pronounced “krape”) is a great…
New paper from Ioannidis suggests fMRI studies of sex differences suffer from publication bias (https://t.co/944KKGSpWG). This is a big issue, leading to inaccurate conceptions and poor policy. Also, this is not an isolated finding...
This thread by @danengber gives a thoughtful overview of the much-hyped report on reproducibility by the National Association of Scholars, a conservative group. It shows the report has much sense to it, some non-sense, and some invidious use of rigor issues to de-regulate
I'll be curious to see reactions to this report on "The Irreproducibility Crisis of Modern Science." Most of it (~80%) is entirely in line with honest efforts to promote open, reproducible research. Highlights in this thread: https://t.co/bDrT34M81N
New Stats blog: Badges, Badges, Badges: Open Science on the March https://t.co/LNy1tFrOL7
New Stats blog: ITNS–A New Review on Amazon https://t.co/izCG6d9C9p
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