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 t****echnically ****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