If you use equivalence testing (and which frequentist who follows best practices doesn't nowadays!) check out this new preprint by @arcaldwell49 https://psyarxiv.com/ty8de/ He has taken the TOSTER #Rstats package to a whole new level. Equivalence tests for ANOVA's, much nicer functions and plots for t-tests, directly comparing standardized mean differences - a whole lot of goodies!
There is tremendous risk in repeatedly analyzing data as it comes in…
For example, in the absence of any effect, the p-values of repeated t-tests on a growing dataset will randomly walk between 1 and 0!
Thanks to @lakens for inspiring this simulation!
I put together a short "cheat sheet" (of sorts) for multilevel modeling in R, because I constantly forget the basic syntax (for lme4 and brms). Feedback welcome! https://www.paulrjohnson.net/2022/11/a-cheatsheet-for-building-mutilevel-models-in-r/ #rstats
Mostly staring at grass. Also statistics, data visualisation, life sciences, and attempts at philosophy.