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#researchsynthesis

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Wolfgang Viechtbauer<p>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: <a href="https://doi.org/10.3758/s13428-025-02622-5" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.3758/s13428-025-026</span><span class="invisible">22-5</span></a></p><p><a href="https://scholar.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Statistics</span></a> <a href="https://scholar.social/tags/MetaAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MetaAnalysis</span></a> <a href="https://scholar.social/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a></p>
Wolfgang Viechtbauer<p>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: <a href="https://doi.org/10.1002/jrsm.1562" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1002/jrsm.1562</span><span class="invisible"></span></a></p><p>Such models can be fit with the metafor package in R: <a href="https://wviechtb.github.io/metafor/reference/rma.uni.html#location-scale-models" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">wviechtb.github.io/metafor/ref</span><span class="invisible">erence/rma.uni.html#location-scale-models</span></a></p><p><a href="https://scholar.social/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://scholar.social/tags/MetaAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MetaAnalysis</span></a> <a href="https://scholar.social/tags/EvidenceSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EvidenceSynthesis</span></a> <a href="https://scholar.social/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a> <a href="https://scholar.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rstats</span></a></p>
Wolfgang Viechtbauer<p>Nice to see Georgia Salanti (<span class="h-card" translate="no"><a href="https://mastodon.social/@geointheworld" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>geointheworld</span></a></span>) joining Mastodon. If you are interested in research synthesis and (network) meta-analysis, give her a follow! <a href="https://scholar.social/tags/MetaAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MetaAnalysis</span></a> <a href="https://scholar.social/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a></p>
Jürgen Schneider<p><a href="https://scicomm.xyz/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a> folks!<br>I created an R script to scrape <a href="https://scicomm.xyz/tags/googleScholar" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>googleScholar</span></a> search results to save you (and me) the tedious clicking. </p><p>Put in your search string and number of search results you need and get a csv. Use it, share it, improve it.</p><p><a href="https://scicomm.xyz/tags/metaanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metaanalysis</span></a></p><p><a href="https://github.com/j-5chneider/sysreview/blob/master/scrape_google_scholar/scrape_google_scholar.R" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/j-5chneider/sysrevi</span><span class="invisible">ew/blob/master/scrape_google_scholar/scrape_google_scholar.R</span></a></p>
Katja Rogers<p>Interested in what people think is necessary in systematic reviews in <a href="https://hci.social/tags/hci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hci</span></a>? Have a look at the results of our informal survey: <a href="https://bit.ly/hcisysrevs-informalsurvey" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bit.ly/hcisysrevs-informalsurv</span><span class="invisible">ey</span></a> <a href="https://hci.social/tags/researchsynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>researchsynthesis</span></a> <a href="https://hci.social/tags/systematicreviews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>systematicreviews</span></a></p>
André Bittermann<p>In our recent systematic review, we found that <a href="https://fediscience.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> yields a high potential to reduce screening time, especially for systematic reviews with many candidate papers.</p><p>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.</p><p>📜 <a href="https://doi.org/10.1027/2151-2604/a000509" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1027/2151-2604/a000</span><span class="invisible">509</span></a><br>(Open Access)</p><p><a href="https://fediscience.org/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a> <a href="https://fediscience.org/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a></p>
André Bittermann<p>🚨 Special announcement 🚨</p><p>The 4th Symposium on <a href="https://fediscience.org/tags/BigData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BigData</span></a> and <a href="https://fediscience.org/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a> in <a href="https://fediscience.org/tags/Psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Psychology</span></a> is pleased to collaborate with Europe's Journal of Psychology (EJOP)! </p><p>Selected contributions from the symposium will be invited for full-text submission to a special thematic section of EJOP (<a href="https://ejop.psychopen.eu/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">ejop.psychopen.eu/</span><span class="invisible"></span></a>).</p><p>💡 This year, we have a special focus on <a href="https://fediscience.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> and <a href="https://fediscience.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a> </p><p>⏰ The deadline for submitting structured abstracts is February 15, 2023</p><p>👉 <a href="http://ressyn-bigdata.org" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">http://</span><span class="">ressyn-bigdata.org</span><span class="invisible"></span></a></p>
Diego G. Campos<p>Our tutorial paper on methods to synthesize individual participant data obtained from complex sampling surveys is out in Psychological Methods.</p><p>If you work or are interested in working with International Large-Scale Assessment Data or National Data, this paper could provide you with new insights to analyze the data.<br> <br><a href="https://psycnet.apa.org/record/2023-35369-001" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">psycnet.apa.org/record/2023-35</span><span class="invisible">369-001</span></a></p><p><a href="https://nerdculture.de/tags/metaanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metaanalysis</span></a> <a href="https://nerdculture.de/tags/complexsurvey" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>complexsurvey</span></a> <a href="https://nerdculture.de/tags/IPD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IPD</span></a> <a href="https://nerdculture.de/tags/researchsynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>researchsynthesis</span></a></p>
André Bittermann<p>📜 Call for Abstracts 📜</p><p>You are invited to participate in the 4th Symposium on <a href="https://fediscience.org/tags/BigData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BigData</span></a> and <a href="https://fediscience.org/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a> in <a href="https://fediscience.org/tags/Psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Psychology</span></a>!</p><p>In 2023, we have a special focus on <a href="https://fediscience.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> and <a href="https://fediscience.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a>.</p><p>Featuring:<br>Susanne Bücker, Sandra Matz, Clemens Stachl, Rens van de Schoot, <span class="h-card"><a href="https://social.esmarconf.org/@nealhaddaway" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nealhaddaway</span></a></span>, Anita Chasiotis, Smitha Kolan, and <span class="h-card"><a href="https://mas.to/@hertzpodcast" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>hertzpodcast</span></a></span>!</p><p>👉 The deadline for submitting structured abstracts is February 15, 2023.</p><p>More information can be found on our website: www.ressyn-bigdata.org</p>
Helmut Hillebrand<p>In the latest issue of <a href="https://ecoevo.social/tags/EcologyLetters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EcologyLetters</span></a> former <a href="https://ecoevo.social/tags/PhDstudent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhDstudent</span></a> Patrick Thomas summarises results from more than 100 experiments measuring <a href="https://ecoevo.social/tags/zooplankton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>zooplankton</span></a> growth and reproduction in response to food quality. A great baseline for our understanding of the producer-herbivore link in marine and freshwater ecosystems.<br><a href="https://ecoevo.social/tags/metaanalyses" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metaanalyses</span></a> <a href="https://ecoevo.social/tags/researchsynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>researchsynthesis</span></a> <br><a href="https://ecoevo.social/tags/PlanktonEcologyLab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PlanktonEcologyLab</span></a> </p><p><span class="h-card"><a href="https://ecoevo.social/@MarenPlankton" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>MarenPlankton</span></a></span> </p><p><a href="https://onlinelibrary.wiley.com/doi/10.1111/ele.14125" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">onlinelibrary.wiley.com/doi/10</span><span class="invisible">.1111/ele.14125</span></a></p>
Iris Hinneburg<p>Are you part of the systematic review or meta-analysis crowd? Doing evidence synthesis? Keen to advance the methods and help to prevent errors in data extraction?</p><p>Please take part in this 15-minute survey - and share with colleagues! </p><p><a href="https://limesurvey.uni-wh.de/index.php/485189?lang=en" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">limesurvey.uni-wh.de/index.php</span><span class="invisible">/485189?lang=en</span></a></p><p><a href="https://mastodon.social/tags/systematicreview" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>systematicreview</span></a> <a href="https://mastodon.social/tags/metaanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metaanalysis</span></a> <a href="https://mastodon.social/tags/SysRev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SysRev</span></a> <a href="https://mastodon.social/tags/evidencesynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>evidencesynthesis</span></a> <a href="https://mastodon.social/tags/researchsynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>researchsynthesis</span></a> (asking for a friend, really!)</p><p>Boosts are very much appreciated!</p>
Andrea Vaughan<p><a href="https://techhub.social/tags/Introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Introduction</span></a> time / shouting into the void with hashtags 😳</p><p>Currently a 3rd year <a href="https://techhub.social/tags/PhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhD</span></a> student at Institute of Education, University College London ( <a href="https://techhub.social/tags/IoE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IoE</span></a> <a href="https://techhub.social/tags/UCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UCL</span></a> 🇬🇧) Current research is <a href="https://techhub.social/tags/CorpusLinguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CorpusLinguistics</span></a> looking at the language of suicidal ideation on social media. </p><p>I'm interested broadly in <a href="https://techhub.social/tags/DiscourseAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DiscourseAnalysis</span></a> and <a href="https://techhub.social/tags/HealthCommunication" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HealthCommunication</span></a>, particularly depression and suicide. Also <a href="https://techhub.social/tags/SystematicReviews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SystematicReviews</span></a> and all things <a href="https://techhub.social/tags/ResearchSynthesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSynthesis</span></a> methodology.</p><p>Here's me presenting at <a href="https://techhub.social/tags/BAAL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BAAL</span></a> <a href="https://techhub.social/tags/HealthSci2022" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HealthSci2022</span></a> yesterday</p>