The purpose of today’s lab is to walk through how to create a pre-registration on the Open Science Framework. Rather than serve as a step-by-step tutorial, this page will mostly contain links to other resources on pre-registration and open science that you can use when drafting your own preregistrations, along with a few questions/prompts to guide our discussion.
Note: A lot of the material in this document has been copied (or adapted) from pregistration workshops by Moin Syed (https://osf.io/pm8bh/) and Cassie Brandes (https://osf.io/pm8bh/).
Sources: OSF Slide Decks; Association for Psychological Science
See here and here for more resources from the Center for Open Science on what to include when reporting the results of preregistered research.
If you decide to make changes to your analysis plan after looking at your data/results, be sure to still report what you said what you were originally going to do, and you can still report your unplanned analyses, but you must indicate that these were unplanned.
If you decide to make changes before seeing your data, you can withdraw your original preregistration and create a new plan.
e.g. Making a “preregistration” after conducting the study; Making multiple preregistrations and only citing the one that “worked.”
While fairly easy to do, this makes fraud more intentional. Preregistration helps keep you honest to yourself
Preregistration does not assume dishonesty. HARKing and similar practices that preregistration cures typically are unintentional rather than deliberate. Preregistration helps us remember (and show others) what we actually planned.
Video tutorial on pre-registration from the Center for Open Science
Pregistration workshop (2017) from the Society for Improving Psychological Science (SIPS). Slides here
A whole bunch of resources curated by M. Brent Donnellan and Moin Syed