Tom VanHeuvelen @tvanheuvelen.bsky.social · 02/12/2024It's Monday, so over at the blog I wrote about two great new papers that take a swing at what you can and can't do with sibling data. asocial.substack.com/p/two-great-...asocial.substack.comTwo Great Reads - Monday - December 2Siblings! 43913
Kristian Bernt Karlson @kbkarlson.bsky.social · 03/12/2024Awesome Tom! Thanks so much for doing these great blogs and including my work 220
Per Engzell @pengzell.bsky.social · 03/12/2024Blushing over here! Great fan of your blog and to be featured alongside @kbkarlson.bsky.social & In makes the honor even greater 010
Pat Hastings @ophastings.bsky.social · 03/12/2024Love this clear writeup! The broader point by @pengzell.bsky.social & @martinhallsten.bsky.social of the difference in between vs within variation is so important. I've always been a little surprised the between-within model isn't more popular in sociology: statisticalhorizons.com/between-with...statisticalhorizons.comUsing “Between-Within” Models to Estimate Contextual Effects | Statistical HorizonsPaul Allison talks about contextual effects in the between-within model for fixed effects in longitudinal data analysis. 171
Juho Härkönen @juhoharkonen.bsky.social · 03/12/2024I like the PH paper, it discusses and summarizes many of methodological questions in sib diff designs in a compact way and relates the design to sociological theory. Related to the latter, though, is something that at least seems puzzling. 1/2 120
