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George Georgarakis

@gngeorgarakis.bsky.social

Moritz Schlick Postdoc Fellow @PolCom_Vienna. Experiments, behavioral social science, cats. In random order. PhD in PolSci @Columbia & @SciencesPo. - he/him/his

9 Posts265 Follower272 Folgt
Andrew Little@anthlittle.bsky.social · 5mo ago

Very nice paper, to be more spicy I would say it shows how both sides of the "is moderation good" debate misread the implications of spatial models of political competition (or, if you must, the "median voter theorem")

David Broockman@dbroockman.bsky.social · 5mo ago

New short paper w @jkalla.bsky.social ! Candidates gain from moderation, but less than many theories expect. Many conclude voters must not care about issues. This is wrong. Small *average* effects mask large effects on specific issues & are consistent with widespread issue-based voting 🧵

Matt Grossmann@mattgrossmann.bsky.social · 5mo ago

Ideologically rating social science academic article abstracts (using a fixed contemporary ideological scale) finds that 90% lean left & all disciplines showed leftward movement from 1990-2024, especially on cultural issues. link.springer.com/article/10.1...

The ideological orientation of academic social science research 1960–2024 - Theory and Society

This study analyzes approximately 600,000 English-language social science abstracts published between 1960 and 2024 to estimate the long-run ideological orientation of disciplinary research output. La...

link.springer.com

Thomas J Wood@thomasjwood.bsky.social · 5mo ago

Political Science's academic job market having its worst post-Covid year -- almost 20% fewer jobs than at the same point in the previous cycle (which itself was bad!) Data scraped from APSA ejobs pdfs.

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Tobias Dienlin@tobiasdienlin.com · 5mo ago

Great blog post! I’ve had the exact same experience. When I started using CFAs I realized (a) many established scales and (b) almost all inverted/negated items don’t work. Needs to be shared more widely.

Yannic Meier@ymeier.bsky.social · 5mo ago

🚨 New Blog Post 🚨 I wrote my very first blog post 😊 This post is for quantitative researchers working with negatively worded Likert-scale items and haven't heard that these items can cause problems. I outline key issues, describe alternatives, and recommend lit. yannicmeier.de/2026/03/03/w...

Yamil Ricardo Velez@yamilrvelez.bsky.social · 5mo ago

New paper with Stephanie Zonszein! Political news is more important than ever, but local papers are shuttering across the US. In recent years, innovative community-centered outlets led by journalists have taken to WhatsApp and social media to reach groups such as immigrants. What are their effects?

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Alexander Wuttke@kunkakom.bsky.social · 5mo ago

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:

Julia M. Rohrer@dingdingpeng.the100.ci · 5mo ago

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.>

Brian Nosek@briannosek.bsky.social · 4mo ago

Mind blowing data. The magnitude of differences from 2024 to 2025 are not unlike the difference in asking people how much they would like to eat a BLT versus a shit sandwich.

Catherine Rampell@crampell.bsky.social · 4mo ago

Only 23% of government workers believe they “can report a suspected violation of a law, rule, or regulation without experiencing retaliation.” That's way down form the share the prior year (72%) who said they could report suspected illegal activity without fear www.thebulwark.com/p/two-more-g...

Brian Nosek@briannosek.bsky.social · 4mo ago

The SCORE investigation of repeatability and credibility is a lot. There are a few ways to get your head around it. 1: The Nature collection includes 3 papers from SCORE, an amazing paper from @i4replication.bsky.social and several commentaries about the work. www.nature.com/collections/... 1/

Reliable research in the social and behavioural and sciences

Sweeping new investigations probe the replication, robustness and reproducibility of results across the behavioural and social sciences.

nature.com

Robb Willer@robbwiller.bsky.social · 4mo ago

@nature.com has published three groundbreaking papers on reproducibility, analytical robustness, and replicability across the social sciences. Sincere thanks are due to the many folks who contributed to these projects. It’s painstaking work, and a great service to social science.

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Carlisle Rainey 👨‍💻📊📚@carlislerainey.bsky.social · 4mo ago

Feel free to borrow/steal---the source is here: github.com/pos5747/notes The goal is a *still relevant* course on parametric models that can sit alongside a course on more agnostic methods for causal inference. *These are in-progress and written in the pre-Claude Code era.

GitHub - pos5747/notes: Notes for POS 5747

Notes for POS 5747. Contribute to pos5747/notes development by creating an account on GitHub.

github.com

Ryan Briggs@ryancbriggs.net · 4mo ago

You guys @carlislerainey.bsky.social has a free textbook online and it seems really useful pos5747.github.io/notes/

A screenshot showing: Introduction These are notes for my class on probability models. In these notes, I walk through the concepts and computation that support modern probability modeling in political science using both maximum likelihood and Bayesian approaches. The Goal There are many excellent books on probability models. But I felt the need to write my own. Why? I saw three problems. First, some classes assign a huge textbook. It might be possible for the strongest and most motivated students to become familiar with the range of topics covered in these textbook, but impossible to master. Instead, these textbooks seem like references, something you’re supposed to constantly be referring back to throughout your career. I know this because many of these books have instructors’ guides that suggest what should be covered in a single semester, what should be skipped, and how one might jump around. Instead, I want a book that students can work through beginning to end and master each idea. Second, some classes assign a variety of sections from several books and a collection of articles. But then the story told in the readings isn’t coherent. The styles are changing, the author’s tastes are changing, and the notation is changing. Switching among authors can feel like whiplash when learning a difficult subject. Instead, I want a book that tells a continuous story with consistent style, tastes, and notation. Third, some classes assign readings that support the lecture material, without exact alignment between the two. For better or worse, the content covered by the instructor in class feels like the most important material. Thus, I want a book that exactly aligns with the material I cover in class.