I recently received an email telling me that an article I had reviewed for a journal had achieved 10,000 views. The astonishing thing was that the email arrived less than 3 weeks after the article had been published online! Believe…
Introduction to the New Statistics
The online community and blog for ITNS
Month: February 2017
NIH asks journals to make sure we get the whole story
The Open Science credo is “Get the whole story”–we can only evaluate the claims made from scientific data when we know the whole context of how that data was generated. For example, finding a large effect of a new drug…
Sample Size Planning – Even when required, not usually done well
In many research fields, sample sizes are too small for the research questions being asked. In neuroscience, the field I work in, this problem is now very well documented (see Button et al., 2013; Szucs & Ionnidis, 2016). In response…
Open Science: Who is paying?
It’s the Open Science fairy story: Brian Nosek was one of a number of young researchers worried that all didn’t seem right in the research world. To what extent was research really producing trustworthy findings? To what extent was it…
Studying statistical cognition is essential for improving rigor and reproducibility. You can participate! Here's a link to a short study of statistical cognition: https://t.co/EKAAdbkQUN
This study is being conducted by @lonnibesancon and @jouni_helske .
New Stats blog: Statistical Cognition: An Invitation https://t.co/N3BfOaDR8I
New Stats blog: A Second Edition of ITNS? Here’s the Latest https://t.co/yU0KH4J7F4
Finally had time to check out @russpoldrack on reproducibility in neuroscience:
“First, we must acknowledge that we have a problem, and that all of our careers have benefitted from the research practices that we now realize to be questionable.”
Amen.
https://t.co/psSJUeYYIJ
Thanks, Nick! It was great to visit with the MCB grad students and postdocs. Lots of energy for planning strong research.
Went to a phenomenal seminar about sample-size planning by Bob Calin-Jageman @TheNewStats. I have a LOT of work to do in how to plan experiments and determine relevance (not P values!) of results. He would make a great speaker at any department! Check out https://t.co/U5Ztw630a0
New preprint.
Adversarial team collaborated to specify when facial feedback effects should most reliably emerge. 2 pilots revealed evidence for the facial feedback hypothesis. Next, 18 labs (17 countries) will test whether these findings are replicable.
https://t.co/1XbHDMDkhv
Oh sh-t. Why can't we have nice things?
The study showing handwritten notes are superior to typed notes fails to replicate https://t.co/2RdBOwVh9O
In my first pre-print, working with @lakens we present 2 methods from clinical/health research & show how they can be used in basic psych research to determine the smallest noticeable change/difference & thus the SESOI for research questions interested in noticeable change. 1/2 https://t.co/udPb9UomF1
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