Marton Kovacs @[email protected] @mrtn_kvcs
PhD student at ELTE, Hungary with an interest in metascience and open science. decisionlab.elte.hu/members/marton… Budapest, Magyarország Joined July 2017-
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Hey tweeps! Are you aware of a evidence that reforms in scientific integrity, responsible scholarship, or #OpenScience have had measurable impact on the quality of science (broadly defined)? @annaveer & I are looking information for a workshop we're putting together. Thanks 🖤!
⛔️ seeking advice ⛔️ I am hoping to connect with a U.S. based researcher who has used federal funds (e.g., NSF) for international research (e.g., to move things to international sites, pay collaborators, etc.) If you know anybody, please let me know. Would happily send coffee🙂
Thibault, R. T., Kovacs, M., Hardwicke, T. E., Sarafoglou, A., Ioannidis, J. P., & Munafo, M. R. Reducing bias in secondary data analysis via an Explore and Confirm Analysis Workflow (ECAW): A proposal and survey of observational researchers. MetaArXiv. doi.org/10.31222/osf.i…
tenzing is a tool that facilitates managing contributors' metadata and automates their reporting. You can find the application here: tenzing.club @ceptional, @mrtn_kvcs, @FrederikAust, @BalazsAczel
Tired of untrustworthy studies? Our new paper published in @royalsociety, describes methods for creating highly credible research that is verifyable by the reader. The methods are showcased in a large-scale replication of Bem 2011 experiment 1. royalsocietypublishing.org/doi/full/10.10… 1/7
We (ok, actually just Marton Kovacs, who had done all of the programming so far) are making progress on a web browser extension, pasang, to automate entering author info into journal submission systems github.com/tenzing-contri…
tenzing now is listed on the UKRN website together with a bunch of other cool initiatives they endorse or sponsor ukrn.org/initiatives/
New paper: Statistics Education in Undergraduate Psychology: A Survey of UK Curricula doi.org/10.1525/collab… with @kyledack2, @RobbieC_Bristol, @NeuroJackie, @MarcusMunafo
Join us for the launch of ReproducibiliTea Stanford on Oct 26. A journal club dedicated to Open Science and Research Culture. Register at tinyurl.com/ReproTeaStanfo…
Are there secondary benefits of preregistration? Our respondents think that preregistering improved their workflow, analysis plan, design, but made the project longer. royalsocietypublishing.org/doi/pdf/10.109… with @a_sarafoglou @mrtn_kvcs @bencebakos96 @EJWagenmakers
With some trepidation, I clicked Publish and deployed a new version of tenzing with several minor improvements. It seems to be working! tenzing.club Recent improvements: github.com/marton-balazs-…
At very long last, today @mariuswbarth and I have released a new version of papaja. Among other things, lot's of work on apa_print(): ✨New: Methods for mixed models and {BayesFactor} 🎓Improved: {emmeans}-methods 💅Polished: Cross-method consistency github.com/crsh/papaja/bl…
This Thursday 14:00 (Leiden time) we'll host another Open Science Coffee, where @BalazsAczel & @mrtn_kvcs will present tools & practices to promote open and efficient science: Tenzing, SampleSizePlanner, and the Multi-analyst guidance. Join us! More info: universiteitleiden.nl/open-science-c…
PLEASE RT! We are recruiting volunteer analysts to estimate the analytical robustness of social science by re-analyzing findings from 100 papers. We need hundreds of analysts who can become co-authors and get paid. More info here: osf.io/7snkz/ @OSFramework
What better way to start the week than with a cup of ReproducibiliTea ☕️? Tomorrow, 2PM (CET) @mrtn_kvcs and @BalazsAczel will share their many many ideas and tools for how to make science more efficient without (much) extra burden for researchers. PM us for the link
Do statisticians ever agree on anything? We listed seven statistical procedures that we believe can serve as a common ground among data analysts. Here, we explain these practices, including their benefits, limitations, and guidelines. nature.com/articles/s4156…
"Errors are an inevitable consequence of human fallibility, and researchers are no exception...." 488 researchers surveyed. Most frequent mistakes: ambiguous naming/defining of data, version control error, wrong data processing/analysis. journals.sagepub.com/doi/full/10.11…

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