# Running Power Simulations with the Power of R!

As one of the resident “stats people” (as opposed to “regular people”) in my department, one of the most common questions I get asked is about power analyses. This is partly because more psychology journals are requiring explicit discussions about statistical power. The problem is that if you do studies that require analyses anything more complicated than a *t*-test or correlations, things can get a little bit hairy. You can do calculations for analyses like regression, but the effect sizes used for these calculations (like Cohen’s *f*2) are often uncommon, to the point where you might not even be clear if you’re using the correct test or calculating the effect size correctly. And then, as you move up in complexity to analyses like multilevel models, SEM, etc., there isn’t even an analytic solution. That’s where power simulations come in.Continue Reading