On Sat, Aug 4, 2012 at 9:12 AM, Sacha Viquerat
<dawa.ya.m...@googlemail.com> wrote:
> Hello!
> I am doing an analysis on a questionnaire of hunters taken in 4 different
> districts of some mysterious foreign country. The aim of the study was to
> gather info on the factors that determine the hunting success of a
> peculiarly beautiful bird in that area. All variables are factors, i.e. they
> are variables such as "Use of Guns - yes / no", "Use of Dogs - yes / no" and
> the likes. The response is upposed to be "number of Birds caught", which was
> designed to be the only continuous variable. However, in reality the number
> of caught birds is between 0 and 1, sometimes hunters answered with 2.
> Unfortunately, it is not the questioner who is burdened with the analysis,
> but me. I am struggling to find an appropriate approach to the analysis. I
> don't really consider this as count data, since it would be very vulnerable
> to overinflation (and a steep decline for counts above 0). I can't really
> suggest binomial models either, since the lack of explanatory, continuous
> data renders such an approach quite vague. I also struggle with the random
> design of the survey (households nested within villages nested within
> districts). Adding to that, hunters don't even target the bird as their
> prime objective. The bird is essentially a by-catch, most often used for
> instant consumption on the hunting trip. I therefore doubt that any analysis
> makes more than a little sense, but I will not yet succumb to failure. Any
> ideas?
>
> Thanks in advance!
Hi Sacha,
This sounds a good deal like homework to me ("some mysterious foreign
country") and this list has a "no homework" policy so unfortunately, I
don't think you'll be able to get much help here.
Best of luck with your analysis however!
Michael
>
> PS: I just realized that this is not a question related to R but to
> statistics in general. Apologies for that!
>
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