Rethinking the Analysis of Non‐Normal Data in Plant and Soil Science

The introduction of high‐quality, useable generalized linear mixed model (GLMM) software in the mid‐2000s changed the conversation regarding the analysis of non‐normal data from designed experiments. For well over half a century, the reigning paradigm called for using analysis of variance (ANOVA), either assuming approximate normality of the original data or applying a variance‐stabilizing transformation. The appearance of GLMMs creates a...