Katrin Auspurg
Sociologist
- Billions of regressions ≠ robustness. My new PNAS Letter shows how unjustified models can drown out justified ones — and why thoughtful model selection matters👇 www.pnas.org/doi/10.1073/...
- This is an extremely relevant and interesting study that shows that behavioral intentions measured in survey experiments should not be mistaken for a measure of actual behavior. And it is a nice example of studies that replicate themselves by using different research designs!
- New Publication with @neugebauer.bsky.social in Sociological Science! Factorial surveys are widely used to predict real-world decisions, but are they valid? Our results raise concerns when it comes to predicting real-world decisions from factorial survey responses (1)
- If you are interested in why many-analyst studies may overestimate uncertainty, you might want to take a look at our recent open access article: Toward a more credible assessment of the credibility of science by many-analyst studies | PNAS www.pnas.org/doi/10.1073/...
- I am happy that my paper with Sabine Düval is now published. We use survey experiments & causal mediation analyses to explore gender ideologies & norms underlying the division of housework. We argue that traditional ideologies may have been overestimated in previous research...
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- Reposted by Katrin AuspurgSociology is behind on transparency but we can get together to catch up! In Europe, the ECSR conference in Barcelona will host two sessions on reproducibility, with special attention to what journals can do: ecsrnet.eu/other-events/ At Sociological Science, we're now requiring data and code.
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- Reposted by Katrin AuspurgWe are happy to announce the new DFG-funded longterm German Longitudinal Environmental Study (GLEN). @glen-study.bsky.social will provide representative, individual level panel data on human-environmental interactions and climate issues. glen-studie.de #sciencenews #Klimawandel #climatechange
- Ross et al. (Nature, 2022) claim that in most fields women are disadvantaged, but their results show that in only 2 out of 13 fields women are less likely to be granted authorship. For women, it seems that science is not as dismal as reported in the Nature article.
- "If your data contradicts the common wisdom: ignore your data." It seems that Ross et al. followed this advice when they concluded in their recent Nature article that women are credited less likely authorship in "most scientific fields". See our comment: osf.io/preprints/so...
- Thanks to AMCIS for inviting me and organizing a wonderful workshop. It was great to learn that there are so many interesting projects with survey experiments planned and carried out at the UvA!
- Reposted by Katrin AuspurgYesterday’s workshop ended with a keynote by @kauspurg.bsky.social on robust design of factorial survey experiments, with proposals for how to incorporate causal inference. We’ve been very fortunate to have Katrin visiting UvA during the last week, giving valuable input to multiple projects.
