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st: effect size in nonlinear regression
From
"Airey, David C" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: effect size in nonlinear regression
Date
Tue, 16 Nov 2010 09:28:22 -0600
.
In linear regression or ANOVA, effect size can be eta^2 or omega^2, the amount of explained variation in the sample or population, respectively. Do these concepts translate to nonlinear regression? Does anyone have any favorite references discussing statistical power and effect size measures for nonlinear regression? I'm guessing these concepts don't translate to nonlinear regression, because I see some cautions about interpreting R^2 in nonlinear regression. I'm trying to understand how one expresses a change in a nonlinear regression parameter in terms of some kind of standardized effect size.
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