Out today, my short piece in Nature Medicine about what scientists can do as authors to combat misinformation and disinformation about their own work.
Out today, my short piece in Nature Medicine about what scientists can do as authors to combat misinformation and disinformation about their own work.
Universities often announce increases in faculty diversity; how is that adding up? ๐งต
In a new analysis of US federal data in Nature Human Behavioir with @NeilLewisJr & @[email protected], we show that the U.S. is not succeeding in diversifying faculty.
We also (1) analyze whether the pipeline analogy is helping or hurting and (2) compute what it would take to achieve faculty parity in our lifetime.
(if you are an #Academic, please Boost & share with colleagues)
US universities have made public commitments to recruit and retain faculty of colour. Analysis of three federal datasets shows that at current rates diversity in US faculty will never reach racial parity. Yet, colleges and universities could achieve parity by 2050 by diversifying their faculty at 3.5 times the current pace.
Take a weird dive into the Intraclass Correlation Coefficient (ICC) with my newest statistics meditation! ๐๐ค๐
How can the ICC be a correlation and a proportion of variance at the same time? Zone out to this question, the chickens, and the roosters. ๐๐ง
This is probably most interesting to you if you are already mildly motivated to think about the #ICC. #Statistics #Meditation #IntraclassCorrelation #MixedModels #MultilevelModels #Correlation #VarianceComponents #STEAM
In what amounts to a radical position these days, @mwkraus proposes that "instead of being cast as a research and teaching labour resource, PhD students are instead conceived of as actual trainees with aspirations, goals and affective states that are equal in priority to those of faculty members."
I'm so excited to announce the #preprint of our #PsyTeachR paper, "Embedding Data Skills in Research Methods Education: Preparing Students for Reproducible Research". The team has been working on this for years.
We cover why and how to teach reproducible data preparation and analysis, with concrete examples in #rstats and #python.
Team: @mcaleerp, Niamh Stack, Heather Cleland Woods, @debruine, @HelenaPaterson, @emilynordmann, Carolina Kuepper-Tetzel, and Dale J. Barr
Guess I'll post this here, too:
SO excited to share our (under review) paper on rethinking transparency & rigor from a qualitative open science perspective. Feedback welcome! #OpenScience #Qualitative