Introduction. Your analysis produces a statistically insignificant estimate. Is it because the result is arbitrarily different from zero? Or because your research design does not have enough power to achieve statistical significance? Alternatively, you learn that “Mathematical power is average [in empirical economics] is 18%, or less” (Ioannidis et al., 2017) and you wonder if the article you are reading also has low statistical power. By the end of this blog, you will be able to easily answer both questions. Without making any plan.
Online application. In this post, we show how to calculate statistical power after calibration for those unfamiliar with R. To that end, we’ve created a Shiny App that tells the researcher everything (CLICK HERE).
Here is the link to the full story.
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