Peter Damgaard

@peterdamgaard.bsky.social

Assistant professor (TT). Department of Political Science and Public Management. University of Southern Denmark. Website: https://peterdamgaard.com

Pedro Sánchez has sent a letter to the EU institutions complaining about the political reaction of some member states to the migratory crisis in Ceuta. “In the current international context, the European Union cannot afford this kind of selfish, polarising and unlawful reaction.” 🧵

Genuinely interested in your views: What is the future of teaching statistical programming language for data science in the age of AI? Will we even still teach programming R or Python?

Very interesting talk for anyone interested in belief formation, persuasion or information provision experiments more generally!

Andy Luttrell@andyluttrell.bsky.social · 3mo ago

Ep 116! @yamilrvelez.bsky.social uses innovative methods to understand how people arrive at their views. We talk about beliefs vs. opinions, why correcting misinformation doesn’t necessarily move opinions, and the power of tailoring messages to the reasons that matter to someone's view.

“Writing is hard.” Thrilled to share that this simple idea led to a new paper in Political Analysis! Where most text methods focus on content, I test if expression is also effortful action. I find simple measures like character counts reveal attitudes and predict voting. cup.org/4cUmoXi 1/

Text as Behavior
Text as Behavior published in Political Analysis

by Omar Wasow

Abstract

Text analysis typically focuses on content—such as sentiment or topic—but expression is also a form of effortful action. Building on this insight, I propose using simple features of open-ended tasks to study text as behavior. This approach treats expression, such as writing, as cognitively, emotionally and temporally “costly” for subjects but inexpensive for researchers. I show basic statistics like the number of characters can approximate effort and significantly improve estimation of quantities of interest, including candidate choice, the probability of turning out to vote and psychological states about which a subject may not be fully aware. Further, these methods can convert nonresponse into informative data; validate survey instruments; serve as mechanism checks; be hard for a subject to “game”; work across different languages and analogize well to real-world situations. In sum, text as behavior can help address a range of issues related to quantifying attitudes and actions.

Looking for insights on Open Peer Review - in particular, a person wanting to be open though the journal is not? For ex: If I publish in a double blind journal, but decide to post the peer review & editorial docs in a space like OSF. Is this unethical, illegal, best practice?

My personal rule for IVs is that, if there's really only one reason why Z and Y are correlated, then you should be able to tell me Z and Y, and I'd be able to figure out what X is without you telling me. (1/n)

Psychology has a whole cottage industry in which people come up with some construct that is essentially "attitudes/beliefs/expectations/feelings about X", and then the central claim is that this construct is a super important determinant of future X outcomes.>

Do conjoint/factorial/vignette experiments reflect choices in the real world? Are hypothetical scenarios in the artificial survey context externally valid? Do hypothetical bias, intention-behavior gap and social desirability biases undermine validity? Two cautionary studies on this question: