Evaluating Interventions: A Practical Primer for Specifying the Smallest Effect Size of Interest osf.io/preprints/psya… via @MaxPrimbs et al

🚀Elevate science by taking part in the #OSIRIS survey on computational reproducibility! Your 15 minutes can change the game.🎯#Science #Research #OpenScience #OpenCode #OpenData #ScienceReproducibility #ScienceForAll Survey available at bit.ly/3uIKiBZ.

Participating in #WCRI2024 in Athens? Join us for the OSIRIS Focus Group to discuss reproducibility, research integrity & OS. We’re keen to hear from researchers, research support/policy officers, and others from the academic landscape who have an interest in these topics!

Interested in meta-science? Come do a PhD with me and Malte Elson at p webber in beautiful Switzerland. Open topic although we focus on error detection (see ERROR) and flexibility in measurement & methods. Email or DM either of us for details. Topic ideas welcome!

Which OS interventions ⬆️ reproducibility? During the KU Leuven #OpenScienceDay24 together with Patrick Onghena (@[email protected]) we presented the process & outcomes of the scoping review of OS interventions for improving #reproducibility, conducted by OSIRIS & TIER2 🙌KU Leuven Open Science

Today at the Paul Meehl graduate school we have Lisa DeBruine teaching on advanced data simulation. And as an after lunch break we have Nick Brown talking about using simulation to detect 'errors' in research.

This new post from Data Colada is quite stunning. Death threats, researchers who study moral violations engaging in moral violations. My jaw is on the floor. datacolada.org/117

Our chapter* "Evaluating interventions: a practical primer for specifying the smallest effect size of interest" is included in the section: 👩🏻‍🤝‍👨🏿How to improve the evidence-to-policy pipeline (2/3) Hannah Peetz @MaxPrimbs Leonie Dudda Pia Andresen Sam Westwood Dr. Erin Buchanan

Heroic empirical work by Leonie Dudda @verheyen_steven et al. studying authors' self-stated reasons for replicating in 1075(!!) replication studies in psych. I have to say, I was very surprised by how rarely influence/importance is mentioned as a motivating factor. Worth a read!

New blog post: Seven basic rules for causal inference: pedermisager.org/blog/seven_bas…, in which I state the most basic ways that causal relationships can produce correlation, and provide R code to demonstrate how each rule plays out in data. Quick summary🧵:

New scoping review by Leonie Dudda and colleagues shows that 60 our of 104 interventions to improve science revealed a positive effect, 43 interventions were neutral, and only 1 lead to an increase in Type 2 errors. osf.io/preprints/meta…

Interesting presentations at the Paul Meehl graduate school day today. Spoiler: misinterpretations are very common 😬 Raphael Merz

This June, a new TIER2-OSIRIS preprint was released 🎉 It evaluates interventions for improving the #reproducibility & #replicability of scientific research based on 104 studies reviewed 👏 Find out more about it here: tier2-project.eu/news/tier2-and…

knowledge generation system and highlighted seven ways in which scientific coordination provides epistemic benefits. I would love to hear your thoughts. You can find them here: doi.org/10.31234/osf.i… doi.org/10.31234/osf.i…

My favourite question of the day: @MaxPrimbs Gregory R. Hancock

📢New #publication! 🔍Which #OpenScience practices actually improve #reproducibility? A new scoping review from #OSIRIS & sister project TIER2 maps 105 studies evaluating interventions... revealing a key evidence gap. 🔗buff.ly/xmIc3Vn ; doi.org/10.1098/rsos.2…