I want to compare my diversity results between three communities of caridean shrimps (Shannon, Simpson, and beta indices). Hill numbers is an alternative to do so given that they show to you the effective number of species of a community. On the other hand, the t-test of Hutcheson is a method used to analyze statistical differences between Shannon results. So, I decided to perform both of them in order to know the magnitude of the difference ( with the Hill numbers) and if that difference has statistical significance (with the t-test of Hutcheson). So my question is if any of you have done what I've done and what are your recommendations? because I checked this website http://www.loujost.com/Statistics%20and%20Physics/Diversity%20and%20Similarity/How%20to%20compare%20the%20diversities%20of%20two%20communities.htm

and now I have this issue of not being sure of the process I followed because the author says that first you have to convert Shannon to effective number of species and then do the t- test. In other words, using the hill numbers within the t value equation instead of Shannon raw numbers. That seems a little bit unreliable to me because the t-test equation requires Shannon values, which, as you know, comes from an equation that has logarithmic foundations ( H’=–sumatory (Pi ln Pi) and the hill numbers are not logarithmic.

So what do you think? do I use the raw numbers (logarithmic) of Shannon or do I first transform the results to Hill numbers and then do the t-test.

I really really hope I did not confused you with my not-so-good english and my doubts.

Best regards and thank you

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