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František Bartoš

@BartosFra

Postdoc | Psychological Methods @UvA_Amsterdam | interested in statistics, meta-analysis, and publication bias | once flipped a coin too many times
Joined July 2018
477 Following 835 Followers 542 Posts

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František Bartoš @BartosFra
We released two preprints describing the JASP Meta-Analytic functionality in detail.

Meta-Analysis with JASP, Part I: Classical Approaches (arxiv.org/abs/2509.09845)

Meta-Analysis with JASP, Part II: Bayesian Approaches (arxiv.org/abs/2509.09850)
arxiv.org Meta-Analysis with JASP, Part I: Classical Approaches Meta-analyses play a crucial part in empirical science, enabling researchers to synthesize evidence across studies and draw more precise and generalizable conclusions. Despite their importance,...
The new version of JASP (0.95) containing another significant update to the Meta-Analysis module is out.

You can perform state-of-the-art Bayesian publication bias-adjusted meta-regression in only a few clicks. A couple of additional clicks get you publication-ready figures!
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František Bartoš @BartosFra
Our tutorial on performing classical #metaanalysis in #JASP is now published in Research Synthesis Methods: doi.org/10.1017/rsm.20…

You can also watch the corresponding videos of my walking through the analyses on YouTube: youtube.com/playlist?list=…
www.cambridge.org Meta-analysis with JASP, Part I: Classical approaches | Research Synthesis Methods | Cambridge Core Meta-analysis with JASP, Part I: Classical approaches
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František Bartoš @BartosFra
A few weeks ago I was giving a talk for @bsiepe Lunch Lectures on Monte Carlo Simulation Studies on *Living synthetic benchmarks: A neutral and cumulative framework for simulation studies*. The recording is now online:
youtube.com/watch?v=-UVsN8…
www.youtube.com Simulation Lunch Talks - Session 5: Living Synthetic Benchmarks Fifth session of a lunch lecture series on Monte Carlo simulation s...
František Bartoš @BartosFra
Another meta-analyses on AI in education.

> Fig. 2 provides a visual representation of the distribution of effect sizes, indicating that the effect sizes are nearly symmetrically distributed... This distribution suggests that there is no evidence of publication bias present...