Ok researchers rise and shine, it's groundhog day - what better way to get you up to date with what has been going on at the FORRT Replication Hub? forrt.org/replication-...
02.02.2026 09:45
👍 19
🔁 11
💬 1
📌 0
Ok researchers rise and shine, it's groundhog day - what better way to get you up to date with what has been going on at the FORRT Replication Hub? forrt.org/replication-...
New paper out:
Some people are systematically better at judging others’ intelligence.
Who are the best judges? People WHO are intelligent themselves, have good emotion-perception ability, and who are high in well-being.
www.sciencedirect.com/science/arti...
I’m glad to share our new paper on fossil fuel reliance and climate change mitigation. Higher perceived reliance is associated with lower support for systemic climate policies. (1/4)
@jolanda-jetten.bsky.social www.sciencedirect.com/science/arti...
New preprint w/ @fbartos.bsky.social , Ben Jones, and @tvpollet.bsky.social .
Our reanalyses found *little* evidence that sexual orientation is associated with 2D:4D ratios after accounting for publication bias. 🧵1/7
osf.io/preprints/ps...
Fig. 3. Scatter plots of the synthetic and empirical estimates, validation study (Stage 2). Showing N = 30,135 item-pair correlations, N = 257 scale reliabilities, and N = 1,568 scale-pair correlations for (top) the pretrained SBERT model and (bottom) the fine-tuned SurveyBot3000 model. SBERT = all-mpnet-base-v2 model.
Fig. 4. Prediction error of the synthetic estimates, validation study (Stage 2). Our prediction model allowed the error term to vary freely according to the predictor, the synthetic estimate. The thin-plate splines show that some synthetic estimates were predictably more accurate.
Fig. 5. Accuracy by domain. Accuracy differed across domains. SurveyBot3000 accuracy (colored) was always higher than SBERT accuracy (gray). Results were largely consistent whether accuracy of items was tested (left, circle) within domains or (right, cross) across domains.
Fig. 1. Multistep training procedure for the SurveyBot3000, which produces synthetic estimates of interitem correlations. (a) Pretraining base model (SBERT). (b) Fine-tuning SurveyBot3000. (c) Validation. SBERT = all-mpnet-base-v2 model.
Finally, @bjoernhommel.bsky.social's and my paper introducing the SurveyBot3000 is officially out in AMPPS. It's a fine-tuned language model that guesstimates correlations between survey items from text alone. Not perfectly, but useful for search, for example.
journals.sagepub.com/doi/10.1177/...
Long story short: we didn’t replicate the effect.
Conclusion: The link between regulatory fit (or this manipulation) and moral behavior isn’t as robust as previously thought. Time for more scrutiny. 🔍
Paper in press at the European Journal of Personality. Preprint: osf.io/preprints/ps...
In a project with @kascigala.bsky.social and @stepf.bsky.social , we tested this in three well-powered studies (N = 3,150), using the same manipulations and moral behavior measures as Achar & Lee. So… did it hold up?
🚨STOP, replication time!🚨
Does Feeling “Right” Make the Good More Good (and the Bad More Bad)?
Achar & Lee found that when people experience regulatory fit, moral predispositions get amplified—moral folks act more moral, less moral folks act less moral. Big, exciting claim!
Does “feeling right”—that is, experiencing regulatory fit—lead us to act more in line with our moral preferences?
With @schildchristoph.bsky.social and @stepf.bsky.social, we conducted a series of the first large-scale, independent close replications in the field of regulatory fit.
🚨NEW PUBLICATION🚨 together with @schildchristoph.bsky.social, @laulilleholt.bsky.social, and Ingo Zettler: "Testing the effectiveness and endorsement of collective punishment." Published in the European Journal of Personality, find it here: doi.org/10.1177/0890...
We built the openESM database:
▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▶️Harmonized (meta-)data, fully open-source software
▶️Filter & search all data, simply download via R/Python
Find out more:
🌐 openesmdata.org
📝 doi.org/10.31234/osf...
Are you doing research on impression formation, face perception, personality judgment, or related topics?
Then you might be interested in joining our collaborative study!
Follow the link for more information: tilburgss.co1.qualtrics.com/jfe/form/SV_...
#socialpsyc #PsychSciSky
No evidence that hormone fluctuations (testosterone, cortisol, estradiol, & progesterone in 257 women) are related to a variety of unethical behaviors & tendencies. @juliastern.bsky.social @schildchristoph.bsky.social @larspenke.bsky.social
psyarxiv.com/xfjhy/
Excited to have our paper included in this special issue “Reflections on the Credibility Revolution in Social and Personality Psychology” where we praise reliability and generalisability efforts in first impressions but ask at what cost to validity and theory?
spb.psychopen.eu/index.php/sp...
Great piece about fraud, p-hacking and accountability in science by Zoé Ziani (not yet on Bluesky):
A Post Mortem on the Gino Case
www.theorgplumber.com/posts/statem...
