Dear Patrick

You may find helpful the follow paper

Holger Schielzeth. Simple means to improve the interpretability
of regression coefficients. *Methods in Ecology & Evolution*. DOI:
10.1111/j.2041-210X.2010.00012.x

Cheers,
Marcio



On 8 March 2010 19:51, Patrick Onyango <pogola@princeton.edu> wrote:

> Dear Ben,
> Many thanks.
>
> Thanks for clarifying: yes, I am interested in effect size with respect to
> biological significance of my findings.  In addition to the suggestions you
> have provided, which I hope to talk to you some, would you recommend using
> the following formula, from Nakagawa & Cuthill (2007) Biol. Rev. 82,
> 591-605: partial correlation coefficient, r = the t value divided by the
> square of the sum of the t value squared and its corresponding degrees of
> freedom?
>
> Here is the equation:
>
>
> I am not quite sure how to interpret, with respect to the kind of effect I
> am looking for, the parameter estimates and the other values that you
> suggested. Are there resources you can recommend. In the meantime, I will
> check in P & B 2000 as well as in West et al. 2007.
>
> Thanks,
> Patrick
>
> On Mar 8, 2010, at 4:39 PM, Ben Bolker wrote:
>
>  Patrick Onyango wrote:
>>
>>> All,
>>> I have been asked to provide effect sizes for results I obtained from
>>> lme. Does anyone know how to handle this?
>>>
>>> Many thanks already.
>>> Patrick
>>>
>>
>>  There are a lot of definitions of "effect size".  If the request is
>> simply to indicate the practical relevance of the effects (i.e.
>> 'biological' significance), I would just quote the parameter estimates
>> (with standard errors), and the standard deviations of the random
>> effects ...
>>
>> --
>> Ben Bolker
>> Associate professor, Biology Dep't, Univ. of Florida
>> bolker@ufl.edu / people.biology.ufl.edu/bolker
>> GPG key: people.biology.ufl.edu/bolker/benbolker-publickey.asc
>>
>
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>



-- 
Marcio M. de Morais Jr
Pos-Graduacao em Ecologia e Recursos Naturais - LCA/CBB.
Universidade Estadual Norte Fluminense
Av. Alberto Lamego, 2000
Campos dos Goytacazes, RJ
28013-602, BRASIL.
Tel: 55-22-2726-1471
     55-22-8117-0412
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