Lisa DeBruine 🏳️🌈@lakens There is a detailed tutorial on how to generate:
1. a pre-registration file that specifies how each hypothesis will be analyzed and evaluated
2. a post-registration file that evaluates the predictions based on data
Lisa DeBruine 🏳️🌈The Open Documentation hackathon at #SIPS2019 will road-test the first draft of an #rstats package @lakens and I created for making machine-readable study descriptions to facilitate archiving, pre-registration, and FAIR use of all study components.
Shiny Apps. Contribute to debruine/shiny development by creating an account on GitHub.
Lisa DeBruine 🏳️🌈The locations are complicated to add from the google sheet because they're specified over multiple rows for each date. If anyone wants to add code to sort them (or do anything else to the app), you can get the app code here
Lisa DeBruine 🏳️🌈I was having a hard time organising my schedule for #SIPS2019, so I made a quick and dirty page to read the live updating schedule and present it in a list format with tickboxes so I can check what I'm interested in.
via ImageCreator “Uh, hypothetical situation: you see a paper published that is based on a premise which is clearly flawed, proven by existing literature.” So began an exasperated Twitter thread by…
Lisa DeBruine 🏳️🌈I wouldn’t normally support retraction over correction for statistical flaws, but the main point of this paper is to get surgeons to use post-hoc power. They’re right something needs to be done about arguing *equivalence* from p > .05, but this isn’t it.
Lisa DeBruine 🏳️🌈We've posted the preliminary schedule for our #psyTeachR workshop at @improvingpsych on Sunday 7 July 13:45-17:15 at Amalia in Engels. Feedback on what people are keen for us to cover is welcome.
What aspect of faces do we use to recognize familiar people? Zhan et al. model the three-dimensional information contents that represent faces in the memory of their colleagues. This information is relevant for recognition across viewpoints, age and...