Power Calculations for Each HypothesisPosted on January 20, 2009 Guillermo J. Prado (bio) explains why a broad statement about power is not sufficient for a grant proposal. |
You must have Flash Player version 10.2 or newer installed. Please visit http://www.adobe.com/go/getflashplayer to download and install the latest version of Flash Player.
I don't see how a research application can be funded if you don't have sample size determinations and power calculations in your application. And when I review grants, not only do you have to have a broad statement about power and sample size calculations, but I think you have to have power and sample size for each research hypothesis.
So some research hypotheses may involve a binary outcome while others may involve a continuous outcome, for example. And power for those two hypotheses will not be the same. So generally for binary data, you have a lot less power, so you would need a lot more participants than you would for a continuous variable. So in writing research grant applications, you really do have to have power statements for each research hypothesis.
So some research hypotheses may involve a binary outcome while others may involve a continuous outcome, for example. And power for those two hypotheses will not be the same. So generally for binary data, you have a lot less power, so you would need a lot more participants than you would for a continuous variable. So in writing research grant applications, you really do have to have power statements for each research hypothesis.
Viewing Preferences
|
Downloads |
Excerpted from an interview with researcher at the 2008 National Hispanic Science Network on Drug Abuse Conference in Bethesda, MD.
Conference dissemination services provided by Interlink.
More About "Funding"
|
More From Guillermo J. Prado (bio)
|

