On 06/21/2012 07:06 PM, Chris Mcowen wrote:
> Dear List,
>
>
>
> I am wondering if the methodological approach I am taking is correct and
> would be very grateful if people could comment and make suggestions, much
> appreciated.
The simple answer is no it isn't:
<http://gking.harvard.edu/files/mist.pdf>
>
>
> I have developed the best model ( AIC model selection) using oceanographic
> data ( i.e. SST, chlorophyll, NPP...x6) to predict reported fisheries catch
> for 52 countries.
>
>
>
> I then extract the residuals from the model and anything positive has a
> higher catch than would be predicted given the level of productivity in the
> country, with the opposite being true.
>
>
>
> What I want to do is:
>
>
>
> 1.       Regress a suite of ecological and socioeconomic variables against
> the residuals from the oceanographic model to determine which factors cause
> some countries to be above and some below. I.E as trophic level increase the
> residuals become increasingly negative.
You could simply put everything into one big model.
> 2.       Ideally ( and I am unsure how or if it is possible) work out for
> each country which variables/s cause the poor fit of that country to the
> oceanographic model.

Try using partial residuals 
(http://en.wikipedia.org/wiki/Partial_residual_plot).

Bob

-- 

Bob O'Hara

Biodiversity and Climate Research Centre
Senckenberganlage 25
D-60325 Frankfurt am Main,
Germany

Tel: +49 69 798 40226
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Journal of Negative Results - EEB: www.jnr-eeb.org


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