Hi all -
I just finished a big modeling project using a measurement model on two of the biggest COVID-19 restriction datasets out there. You can get a working draft here of the results:
https://osf.io/preprints/socarxiv/rn9xk/
If you’re looking for data on COVID-19 restrictions across countries and you’re a big fan of robust measurement practices & Bayesian inference, please pass it on! To show how to use it in follow-on analyses, I also wrote a blog post showing how to use our estimated indexes with brms measurement error syntax: