We social scientists love collecting ordinal data, such as those from questionnaires using Likert-type items.1 Sometimes we’re lazy and analyze these data as if they were continuous, but we all know they’re not, and the evidence suggests things can go terribly horribly wrong when you do ( Liddell & Kruschke, 2018). Happily, our friends the statisticians and quantitative methodologists have built up a rich analytic framework for ordinal data (see Bürkner & Vuorre, 2019).
