Marton Kovacs @[email protected]
@mrtn_kvcs
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PhD student at ELTE, Hungary with an interest in metascience and open science.
Budapest, Magyarország
Joined July 2017
Out now, tutorial paper ( https://t.co/wfRs1MVNc2) on calculating and justifying your required sample size. Different frameworks: frequentist, Bayesian, testing superiority or equivalence, estimation... we don't discriminate! With @DonVanRaven, @RinkHoekstra, and @BalazsAczel
journals.sagepub.com
Planning sample size often requires researchers to identify a statistical technique and to make several choices during their calculations. Currently, there is a...
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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 🖤!
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Starlink Mini offers fast, reliable internet on the go—great for traveling, camping, exploring, boating, RVing, and more. Stay connected without dead zones or slow speeds. Order online in under 2 minutes.
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⛔️ 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🙂
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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. https://t.co/Fq9vYmwxZi
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tenzing is a tool that facilitates managing contributors' metadata and automates their reporting. You can find the application here: https://t.co/gzDyBPCsTA
@ceptional, @mrtn_kvcs, @FrederikAust, @BalazsAczel
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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. https://t.co/HN7dhBNxVK 1/7
royalsocietypublishing.org
Abstract. The low reproducibility rate in social sciences has produced hesitation among researchers in accepting published findings at their face value. De
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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
Web browser extension that automatically populates journal submission portal forms with contributor information. - contributorshipcollaboration/pasang
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tenzing now is listed on the UKRN website together with a bunch of other cool initiatives they endorse or sponsor
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New paper: Statistics Education in Undergraduate Psychology: A Survey of UK Curricula https://t.co/gU1JjpuRzE with @kyledack2, @RobbieC_Bristol, @NeuroJackie, @MarcusMunafo
online.ucpress.edu
Graduates from psychology programmes are likely to use data skills throughout their career, regardless of whether they continue into research. Statistical education in psychology programmes, however,...
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Join us for the launch of ReproducibiliTea Stanford on Oct 26. A journal club dedicated to Open Science and Research Culture. Register at https://t.co/PzI7jDAPLU
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Are there secondary benefits of preregistration? Our respondents think that preregistering improved their workflow, analysis plan, design, but made the project longer. https://t.co/LhKJ4AfmWW with @a_sarafoglou @mrtn_kvcs @bencebakos96 @EJWagenmakers
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With some trepidation, I clicked Publish and deployed a new version of tenzing with several minor improvements. It seems to be working! https://t.co/vyB68sxI5C Recent improvements:
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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 https://t.co/sIVP8gp4Ep
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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
Developing tools and practices to promote open and efficient science In this talk, we’ll introduce some new tools that aim to improve the efficiency of researchers’ work and the accumulation of...
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See also the preprint of @lakens ( https://t.co/nUjITtaHvj) for justification of your strategy for choosing sample size
osf.io
An important step when designing an empirical study is to justify the sample size that will be collected. The key aim of a sample size justification for such studies is to explain how the collected...
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The paper is accompanying a shiny app ( https://t.co/246jbKJNCx), which guides you through the process and creates publication-ready justification text including the determined sample size.
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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: https://t.co/DPU9JlVrTo
@OSFramework
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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
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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. https://t.co/I8M7qdoTh9
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"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. https://t.co/TXAAXtGwNJ
journals.sagepub.com
Errors are an inevitable consequence of human fallibility, and researchers are no exception. Most researchers can recall major frustrations or serious time dela...
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