13.Good, Cheap, and Fast: Evaluating Assumptions for Regression in R

Assumptions are maybe the weirdest part of doing statistics in psychological research. The vast majority of us rely on statistical tests that require certain assumptions to be met (i.e., parametric statistical tests). But for every 10 conversations I have about statistical analyses that involve the mention of “assumptions”, 9.9 of them end the same way: “Why are these assumptions needed, anyways? I know they are technically important, but what are the practical consequences of failing to meet them?” 

As it turns out, hardly any of us report on our assumption checks. And maybe it’s because hardly any of us understand how to correctly check on our assumptions. Damn assumptions–forever making an ass out of u and me. Continue reading