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From | Aggie Chidlow <mojamalarybka@googlemail.com> |
To | statalist@hsphsun2.harvard.edu |
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 <carlo.lazzaro@tiscalinet.it> 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: owner-statalist@hsphsun2.harvard.edu > [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Aggie Chidlow > Inviato: sabato 3 aprile 2010 22.39 > A: statalist@hsphsun2.harvard.edu > 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 > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/