Math is another possible explanation for why power calculations are so uncommon: analytically calculating power can be difﬁcult or downright impossible. Techniques for calculating power are not frequently taught in intro statistics courses. And some commercially available statistical software does not come with power calculation functions. It is possible to avoid hairy mathematics by simply simulating thousands of artiﬁcial datasets with the effect size you expect and running your statistical tests on the simulated data. The power is simply the fraction of datasets for which you obtain a statistically signiﬁcant result. But this approach requires programming experience, and simulating realistic data can be tricky.

# Analytically Calculating Power Can Be Difﬁcult or Downright Impossible

Author | |

Year | 2015 |

Source | Statistics Done Wrong: The Woefully Complete Guide |

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