Emmanuele Tidoni<p>Exciting News! 📚 Our work on Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs published in AMPPS! 🎉 <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a> <a href="https://mastodon.social/tags/lme4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lme4</span></a> <a href="https://mastodon.social/tags/MixedModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MixedModels</span></a> <span class="h-card" translate="no"><a href="https://mastodon.social/@Scandle" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Scandle</span></a></span> &amp; <span class="h-card" translate="no"><a href="https://mastodon.social/@letstido" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>letstido</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@universityofleeds" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>universityofleeds</span></a></span> </p><p><a href="https://journals.sagepub.com/doi/10.1177/25152459231214454" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/10.11</span><span class="invisible">77/25152459231214454</span></a></p><p>We present <a href="https://mastodon.social/tags/recommendations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recommendations</span></a> and a clear <a href="https://mastodon.social/tags/pipeline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pipeline</span></a> for handling <a href="https://mastodon.social/tags/random" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>random</span></a> effects in the presence of non-convergent and singular models. No more reduced models causing first-type errors due to data pseudoreplication!</p>