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Re: st: R: Power Analysis
From
Aggie Chidlow <[email protected]>
To
[email protected]
Subject
Re: st: R: Power Analysis
Date
Sun, 4 Apr 2010 18:28:21 +0100
Dear Carlo,
Thank you very much for your response and suggestions. It is much appreciated.
Since posted to the list, I have done a chi2 test to see if there is,
for example, a significant relationship between mentioning (or not)
the famework and the type of a journal.
After some thinking, I am planning to do a meta-analysis and would
appreciate if you (or anybody from the list) advise me how to do a
power analysis for the meta-analysis.
So sorry for any confusions, but I am at a finding the right tool stage.
Your suggestions will be much appreciated.
On Sun, Apr 4, 2010 at 12:06 PM, Carlo Lazzaro
<[email protected]> wrote:
> Dear Agge,
> in the light of the details you provide the list with, unless you intend to
> perform a two-sample comparison of proportions (ie, how many articles
> deserved to be mentioned out of the overall number of articles submitted for
> possible publication in the sample #1 and #2, respectively), your problem
> seems more a matter of logistic regression (please, see -help logit- in
> Stata 9.2/SE)than power analysis.
>
> However, should power analysis be the focus of your reserch, please take a
> look at -help sampsi- in Stata 9.2/SE.
>
> For more details about this issues, I would refer to:
> Long JS, Freese J. Regression Models for Categorical Dependent Variables
> Using Stata. 2nd Ed. College Station, TX: Stata Press, 2006;
>
> http://www.indiana.edu/~statmath/stat/all/power/index.html.
>
> HTH and Kind Regards,
> Carlo
> -----Messaggio originale-----
> Da: [email protected]
> [mailto:[email protected]] Per conto di Aggie Chidlow
> Inviato: sabato 3 aprile 2010 22.39
> A: [email protected]
> Oggetto: st: Power Analysis
>
> Hi,
>
> I am working on a paper where I am investigating if researchers that
> published papers between 2000 - 2008 with mail survey data in 4 top
> rated journals in economics report a certain framework (measured as 0
> = mentioned ; 1 = not mentioned).
>
> Can somebody advise me on how to undertake a power analysis for this,
> please?
> Many thanks in advance.
>
> Agge
>
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