> On Apr 9, 2023, at 5:46 AM, palad...@trustindata.de wrote:
>
> Hello!
> I want to calculate simultaneous confidence intervals for a nominal variable
> with three categories: "yes", "no", "partially" and I expect that far more
> than 5 samples fall into each category.
> I have read that Glaz & Sison's method is only appropriate for variables with
> 7 or more categories. Therefore, the Goodman method seems like a good idea.
> I have found the R function "MultinomCI" {DescTools} to calculate these CIs.
> However, I have not found a way to calculate in advance the required sample
> size for the Goodman method at a fixed confidence level and length of the
> intervall.
Seems very unlikely that you can achieve both of those goals simultaneously. I
would expect the CI width t vary with the size of the sample in each category
in any case. So I'm wondering if your failure at searching derives from the
impossibility of your goal. Why would you desire such a result?
--
David.
> I would be very grateful for any suggestion.
>
>
> Many thanks in advance!
>
> Claudia
>
>
> [[alternative HTML version deleted]]
>
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