#researchsynthesis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #researchsynthesis, aggregated by home.social.
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#ESMARConf2025 is live now (https://www.youtube.com/@esmarconf), starting with a talk by @ASanchez_Tojar on "Practising what we preach: Rethinking standards in meta-analysis for ecology and evolution".
At 11am (CEST), I will give a talk on how to visualize the amount of heterogeneity in forest plots.
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Together with colleagues from Spain, we recently conducted a comprehensive simulation study examining the performance of various types of tests and methods for constructing confidence intervals for the scale coefficients in meta-analytic location-scale models. Although things are complex, generally the likelihood-ratio test and corresponding profile-likelihood intervals performed best. See here for further details: https://doi.org/10.3758/s13428-025-02622-5
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1/3 In a recent paper, we described the use of location-scale models in meta-analysis to not only examine how moderators may be related to the size of the effect, but also how moderators may be related to the amount of heterogeneity among the effects: https://doi.org/10.1002/jrsm.1562
Such models can be fit with the metafor package in R: https://wviechtb.github.io/metafor/reference/rma.uni.html#location-scale-models
#statistics #MetaAnalysis #EvidenceSynthesis #ResearchSynthesis #Rstats
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Stopping #ClimateChange protects human health. The DESTINY project helps to pool the knowledge!
@wellcometrust has commissioned a consortium led by @MCC_Berlin
researchers to push the boundaries of #ResearchSynthesis through #ArtificialIntelligence.
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Nice to see Georgia Salanti (@geointheworld) joining Mastodon. If you are interested in research synthesis and (network) meta-analysis, give her a follow! #MetaAnalysis #ResearchSynthesis
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At this year's ZPID ressyn-bigdata.org symposium, we had most exciting keynotes on #BigData and #ResearchSynthesis in #psychology.
You can watch the videos here: https://zpid.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx#
Slides, posters, and more: https://www.psycharchives.org/en/browse/?q=%22Big+Data+%26+Research+Syntheses+2023%2C+Frankfurt%2C+Germany%22
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In our recent systematic review, we found that #MachineLearning yields a high potential to reduce screening time, especially for systematic reviews with many candidate papers.
The comparison of different tools under equal or at least similar conditions and for various data sets, as well as adequate rules for when to stop the manual screening, remain open questions.
📜 https://doi.org/10.1027/2151-2604/a000509
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📜 Call for Abstracts 📜
You are invited to participate in the 4th Symposium on #BigData and #ResearchSynthesis in #Psychology!
In 2023, we have a special focus on #MachineLearning and #OpenScience.
Featuring:
Susanne Bücker, Sandra Matz, Clemens Stachl, Rens van de Schoot, @nealhaddaway, Anita Chasiotis, Smitha Kolan, and @hertzpodcast!👉 The deadline for submitting structured abstracts is February 15, 2023.
More information can be found on our website: www.ressyn-bigdata.org