Jan Pfänder

@janpfa.bsky.social

phd student https://janpfander.github.io/

Why do societies rely on rigid moral rules? Don't lie. Keep your promises. Don't steal. We all recognize there are good reasons to make exceptions. So why are moral rules so often categorical? Our new paper proposes an answer. 🧵

Screenshot of article title page, "Why human societies adopt rigid moral rules"

Taking a look at Castro-Schilo & Grimm about "residualized change vs diff scores" -- interesting case of how spelling out estimands affects reasoning. Estimand of interest: "effect of prior cohabitation on change in relationship satisfaction pre/post marriage"> journals.sagepub.com/doi/10.1177/...

Sofia, a close relationships’ researcher, is interested in examining change in relationship satisfaction before and after marriage. Specifically, she wants to know whether cohabiting prior to marriage has an effect on changes in relationship satisfaction. As she plans her data analysis strategy, Sofia realizes she has two options: (1) use the postmarriage relationship satisfaction score as her outcome and include the premarriage score in her analysis as a predictor, in addition to whether or not couples cohabited prior to marriage to account for individual differences in baseline relationship satisfaction (known as residualized change approach) or (2) compute the difference between the postmarriage relationship satisfaction score and the premarriage relationship satisfaction score and use it as her outcome to test the effect of cohabiting prior to marriage (known as difference score approach). Which of these two strategies is most appropriate? Should both strategies provide the same results? Sofia has heard difference scores have a bad reputation, why is that? Are there additional strategies Sofia is not aware of that might be preferred over her current options?
Nicholas Judd@njudd.com · 5mo ago

Nice Post! Odd citation in the ANCOVA footnote for the change in observational analyses. I feel like it warrants a sentence on how this gives easy, large false positives: Van Breukelen, 2006; Sorjonen et al., 2019 & my absolute favorite, must read, Castro-Schilo, & Grimm, 2018

This recent RCT of an "AI stethoscope" claims the technology "shows promise" for diagnosing cardiovascular conditions. It does not. It is a textbook example of the risks of conducting unprincipled 'per protocol analyses'. Once again, peer review at a major medical journal has failed. 🧵 1/

The Lancet@thelancet.com · 5mo ago

AI-enabled stethoscopes show promise for improving diagnosis of cardiovascular conditions, UK trial finds. Explore the research: spkl.io/63326AsjJ8

Graph showing use of AI stethoscope examinations (cardiac waveform recordings for AI interpretation) among recruited GP practices in the intervention group (n=96) during the first 12 months of implementation. Stacked bars represent the number of practices (y-axis, left) stratified by usage intensity category: high users (≥31 uses per month), medium users (10–30 uses per month), low users (<10 uses per month), and non-users (0 uses per month). Darker shades within each bar denote higher usage categories, with high users shown in the darkest shade. The overlaid line graph indicates cumulative number of AI stethoscope examinations (y-axis, right) over 12 months, with numbers above each bar denoting the total number of onboarded practices at that timepoint. AI=artificial intelligence. GP=general practitioner.

🔴 Gallicagram v2, nous voici ! 🔴 Nouvelle interface en react vachement plus stable et rapide, nouveaux corpus (Mediapart, Libé, le Parisien, Le Figaro…), recherche contextuelle, comparaisons inter-corpus, filtre rubrique, bilingue, infinite scrolling... on vous explique tout ! 📌 www.gallicagram.com

Bild

1. Transparency is necessary for credibility 2. Transparency is hard to change 3. Require transparency* 4. Transparency is not magic 5. Journals are part of problem 6. Expect more from journals 7. Peer review is not magic 8. A crisis can look a lot like „normal“ science 9. Meta-analysis is not magic

Peer Community In@peercommunityin.bsky.social · 8mo ago

In case you have missed Simine Vazire's excellent webinar yesterday, here is the link to watch it online: youtu.be/_vb1CNwC3CM Thanks again @simine.com for staying up so late and thanks to the audience for the great questions!

new paper by Sean Westwood: With current technology, it is impossible to tell whether survey respondents are real or bots. Among other things, makes it easy for bad actors to manipulate outcomes. No good news here for the future of online-based survey research

Bild