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Cohen's h is the Fisher information distance between two probabilities (see, e.g., Rao, 1987, Differential
Metrics in Probability spaces), ie it is invariant to reparameterization. It doesn't become clear to me from this article what advantages this distance has compared to, say, the absolute
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I have notes on sample size calculation, but not coherent enough to put in the article.
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397:{\displaystyle h={\sqrt {2}}\left(\phi _{1}-\phi _{2}\right)}
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The usual sample size calculations assume that both
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326:{\displaystyle {\sqrt {2}}}
199:{\displaystyle p_{1}-p_{2}}
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