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#effectsize

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Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #413 Counternull Sets in Randomized Experiments</p><p>Thoughts: The counternull is a lost statistic, that is woefully underused when teaching stats.</p><p><a href="https://mastodon.social/tags/counternull" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>counternull</span></a> <a href="https://mastodon.social/tags/nhst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nhst</span></a> <a href="https://mastodon.social/tags/pvalue" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pvalue</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/teaching" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>teaching</span></a> <a href="https://mastodon.social/tags/randomization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>randomization</span></a> <a href="https://mastodon.social/tags/rosenthal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rosenthal</span></a></p><p><a href="https://www.tandfonline.com/doi/pdf/10.1080/00031305.2024.2432884?download=true" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tandfonline.com/doi/pdf/10.108</span><span class="invisible">0/00031305.2024.2432884?download=true</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #398 Eta^2 for bayesian models {effectsize}</p><p>Thoughts: Great resource, but scroll to "Eta Squared from Posterior Predictive Distribution"</p><p><a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/eta2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eta2</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brms</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a></p><p><a href="https://easystats.github.io/effectsize/reference/eta_squared.html#eta-squared-from-posterior-predictive-distribution" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">easystats.github.io/effectsize</span><span class="invisible">/reference/eta_squared.html#eta-squared-from-posterior-predictive-distribution</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #396 If researchers find Cohen’s d = 8, no they didn’t</p><p>Thoughts: Sometimes an effect is so impressive that its unbelievable.</p><p><a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/cohend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cohend</span></a> <a href="https://mastodon.social/tags/QRPs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QRPs</span></a> <a href="https://mastodon.social/tags/sesoi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sesoi</span></a></p><p><a href="https://mmmdata.io/posts/2025/07/if-researchers-find-cohens-d-8-no-they-didnt/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mmmdata.io/posts/2025/07/if-re</span><span class="invisible">searchers-find-cohens-d-8-no-they-didnt/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #393 Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements [actual post]</p><p>Thoughts: #392 has the comments, but this is where the magic happens.</p><p><a href="https://mastodon.social/tags/modelselection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelselection</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/variance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>variance</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a></p><p><a href="https://www.fharrell.com/post/addvalue/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">fharrell.com/post/addvalue/</span><span class="invisible"></span></a></p>
Nicola Romanò<p>When designing a scientific experiment, a key factor is the sample size to be used for the results of the experiment to be meaningful.</p><p>How many cells do I need to measure? How many people do I interview? How many patients do I try my new drug on?</p><p>This is of great importance especially for quantitative studies, where we use statistics to determine whether a treatment or condition has an effect. Indeed, when we test a drug on a (small) number of patients, we do so in the hope our results can generalise to any patient because it would be impossible to test it on everyone.</p><p>The solution is to perform a "power analysis", a calculation that tells us whether given our experimental design, the statistical test we are using is able to see an effect of a certain magnitude, if that effect is really there. In other words, this is something that tells us whether the experiment we're planning to do could give us meaningful results.</p><p>But, as I said, in order to do a power analysis we need to decide what size of effect we would like to see. So... do scientists actually do that?</p><p>We explored this question in the context of the chronic variable stress literature.</p><p>We found that only a few studies give a clear justification for the sample size used, and in those that do, only a very small fraction used a biologically meaningful effect size as part of the sample size calculation. We discuss challenges around identifying a biologically meaningful effect size and ways to overcome them.</p><p>Read more here!<br><a href="https://physoc.onlinelibrary.wiley.com/doi/10.1113/EP092884" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">physoc.onlinelibrary.wiley.com</span><span class="invisible">/doi/10.1113/EP092884</span></a></p><p><a href="https://qoto.org/tags/experiments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>experiments</span></a> <a href="https://qoto.org/tags/ExperimentalDesign" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExperimentalDesign</span></a> <a href="https://qoto.org/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://qoto.org/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://qoto.org/tags/stress" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stress</span></a> <a href="https://qoto.org/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://qoto.org/tags/article" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>article</span></a> <a href="https://qoto.org/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>power</span></a> <a href="https://qoto.org/tags/biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biology</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #366 Type M error might explain Weisburd’s Paradox</p><p>Thoughts: Learn about type M error while you learn about the issues in criminology!</p><p><a href="https://mastodon.social/tags/replication" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>replication</span></a> <a href="https://mastodon.social/tags/typeM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>typeM</span></a> <a href="https://mastodon.social/tags/typeS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>typeS</span></a> <a href="https://mastodon.social/tags/QRPs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QRPs</span></a> <a href="https://mastodon.social/tags/paradox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paradox</span></a> <a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>power</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/errorrate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>errorrate</span></a></p><p><a href="https://sites.stat.columbia.edu/gelman/research/published/weisburd_28.05.2017.pdf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sites.stat.columbia.edu/gelman</span><span class="invisible">/research/published/weisburd_28.05.2017.pdf</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #356 Measures of Heterogeneity</p><p>Thoughts: An overview of different measures, I^2, Q, H^2, and associated R code.</p><p><a href="https://mastodon.social/tags/metaanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metaanalysis</span></a> <a href="https://mastodon.social/tags/heterogeneity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>heterogeneity</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/variability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>variability</span></a> <a href="https://mastodon.social/tags/error" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>error</span></a></p><p><a href="https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/heterogeneity.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bookdown.org/MathiasHarrer/Doi</span><span class="invisible">ng_Meta_Analysis_in_R/heterogeneity.html</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p>🚨New blog post 📝: Your Study Is Too Small (If You Care About Practically Significant Effects)</p><p><a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/precision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>precision</span></a> <a href="https://mastodon.social/tags/poweranalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>poweranalysis</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/Psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychology</span></a> <a href="https://mastodon.social/tags/MCID" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MCID</span></a> <a href="https://mastodon.social/tags/SESOI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SESOI</span></a> <a href="https://mastodon.social/tags/samplesize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>samplesize</span></a> </p><p> <a href="https://open.substack.com/pub/mzloteanu/p/your-study-is-too-small-if-you-care?r=3b457w&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=true" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.substack.com/pub/mzlotean</span><span class="invisible">u/p/your-study-is-too-small-if-you-care?r=3b457w&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=true</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #353 The Abuse of Power; The Pervasive Fallacy of Power Calculations for Data Analysis</p><p>Thoughts: An seminal paper on "post hoc" power calculations.</p><p><a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>power</span></a> <a href="https://mastodon.social/tags/QRPs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QRPs</span></a> <a href="https://mastodon.social/tags/NHST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NHST</span></a> <a href="https://mastodon.social/tags/posthoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>posthoc</span></a> <a href="https://mastodon.social/tags/samplesize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>samplesize</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a></p><p><a href="https://www.tandfonline.com/doi/abs/10.1198/000313001300339897" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tandfonline.com/doi/abs/10.119</span><span class="invisible">8/000313001300339897</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #347 A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared</p><p>Thoughts: Its epsilon^2, but easier to compute by hand.</p><p><a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/ANOVA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ANOVA</span></a> <a href="https://mastodon.social/tags/eta2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eta2</span></a> <a href="https://mastodon.social/tags/epislon2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>epislon2</span></a></p><p><a href="https://journals.sagepub.com/doi/10.1177/2515245919855053" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/10.11</span><span class="invisible">77/2515245919855053</span></a></p>
RDN<p>An overview of 67 different effect size estimators, including confidence intervals, for two-group comparisons:</p><p><a href="https://journals.sagepub.com/doi/full/10.1177/25152459251323186" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/full/</span><span class="invisible">10.1177/25152459251323186</span></a></p><p>The authors have also developed a Shiny web app to evaluate these.</p><p><a href="https://floss.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://floss.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://floss.social/tags/EffectSize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EffectSize</span></a> <a href="https://floss.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #305 The Fallacy of Employing Standardized Regression Coefficients and Correlations ad Measures of Effect</p><p>Thoughts: Everyone loves effect sizes, but mind how you compute and interpret them.</p><p><a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> <a href="https://mastodon.social/tags/fallacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fallacy</span></a></p><p><a href="https://doi.org/10.1093/oxfordjournals.aje.a114229" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1093/oxfordjournals</span><span class="invisible">.aje.a114229</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #294 So You Think You Can Graph - effectiveness of presenting the magnitude of an effect</p><p>Thoughts: Competition in the many ways to display effect magnitude. Some cool ideas.</p><p><a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/effects" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effects</span></a> <a href="https://mastodon.social/tags/plots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plots</span></a> <a href="https://mastodon.social/tags/figures" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>figures</span></a> <a href="https://mastodon.social/tags/cohend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cohend</span></a></p><p><a href="https://amplab.colostate.edu/SYTYCG_S1/SYTYCG_Season1_Results.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">amplab.colostate.edu/SYTYCG_S1</span><span class="invisible">/SYTYCG_Season1_Results.html</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #281 Correcting Cohen’s d for Measurement Error (A Method!)</p><p>Thoughts: Scale reliability can be incorporated into effect size computation (i.e., remove attenuation)</p><p><a href="https://mastodon.social/tags/measurementerror" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>measurementerror</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/cohend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cohend</span></a> <a href="https://mastodon.social/tags/reliability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reliability</span></a> <a href="https://mastodon.social/tags/scales" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scales</span></a></p><p><a href="http://rpubs.com/JLLJ/RPBD" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">rpubs.com/JLLJ/RPBD</span><span class="invisible"></span></a></p>
Bjørn Sætrevik<p>An even better solution would be a table where you could select which type of effect <a href="https://fediscience.org/tags/effectSize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectSize</span></a> measure to show (calculated using e.g. these calculations <a href="https://www.escal.site/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">escal.site/</span><span class="invisible"></span></a>). If anyone has the skills to implement that in <a href="https://fediscience.org/tags/wikipedia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wikipedia</span></a> <a href="https://fediscience.org/tags/markup" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>markup</span></a>, please do so!</p>
Bjørn Sætrevik<p>It always takes me some minutes to look up the interpretation guidelines for various effect size measures (yes, I know the rules of thumb are somewhat arbitrary). Today I edited Wikipedia to show three different guidelines for four different measures in the same table. Hopefully this can save some time for other researchers. </p><p><a href="https://fediscience.org/tags/methodology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methodology</span></a> <a href="https://fediscience.org/tags/psychometrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychometrics</span></a> <a href="https://fediscience.org/tags/EffectSize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EffectSize</span></a> <a href="https://fediscience.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a> <a href="https://fediscience.org/tags/wikipedia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wikipedia</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #265 The limited epistemic value of ‘variation analysis’ (R^2)</p><p>Thoughts: Interesting post and comments on what we can and can't say from an r2 metric.</p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/r2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r2</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/variance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>variance</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/models" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>models</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a></p><p><a href="https://larspsyll.wordpress.com/2023/05/23/the-limited-epistemic-value-of-variation-analysis/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">larspsyll.wordpress.com/2023/0</span><span class="invisible">5/23/the-limited-epistemic-value-of-variation-analysis/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #260 Effect size measures in a two-independent-samples case with nonnormal and nonhomogeneous data</p><p>Thoughts: "A_w and d_r were generally robust to these violations"</p><p><a href="https://mastodon.social/tags/robust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>robust</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/ttest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ttest</span></a> <a href="https://mastodon.social/tags/2groups" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>2groups</span></a> <a href="https://mastodon.social/tags/metaanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metaanalysis</span></a> <a href="https://mastodon.social/tags/assumptions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>assumptions</span></a> <a href="https://mastodon.social/tags/ttest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ttest</span></a> <a href="https://mastodon.social/tags/cohend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cohend</span></a></p><p><a href="https://link.springer.com/article/10.3758/s13428-015-0667-z" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.3</span><span class="invisible">758/s13428-015-0667-z</span></a> </p><p><a href="https://mastodon.social/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/abtesting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>abtesting</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #256 Rule of three (95%CI for no event)</p><p>Thoughts: Sometimes you have 0 recorded events, so how do you compute a Confidence Interval? Using the rule of 3!</p><p><a href="https://mastodon.social/tags/Confidenceintervals" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Confidenceintervals</span></a> <a href="https://mastodon.social/tags/clinical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clinical</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a></p><p><a href="https://en.m.wikipedia.org/wiki/Rule_of_three_(statistics)" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.m.wikipedia.org/wiki/Rule_o</span><span class="invisible">f_three_(statistics)</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #254 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations</p><p>Thoughts: I share tutorial papers, as people resonate with different writing styles and explanations.</p><p><a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a></p><p><a href="https://link.springer.com/article/10.1007/s10654-016-0149-3" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.1</span><span class="invisible">007/s10654-016-0149-3</span></a></p>
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