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Re: st: Calculating and interpreting effect size when DV is a proportion


From   "JVerkuilen (Gmail)" <jvverkuilen@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Calculating and interpreting effect size when DV is a proportion
Date   Mon, 14 Jan 2013 11:45:19 -0500

On Mon, Jan 14, 2013 at 11:06 AM, Michelle Dynes
<dynes.michelle@gmail.com> wrote:
> Thank you Maarten and Jeffrey for your prompt replies! I have gone
> ahead and followed the example Maarten provided by centering my
> continuous variables in the fractional logit model along with the
> -eform- command. Maarten, for further clarification, is it ok to refer
> to the ORs, produced using the -eform- command per your example, as
> Relative Proportion Ratios even though Stata reports them as ORs? This
> makes sense to me given the outcome variable is a proportion, but I
> thought I would double check. Many thanks!

Stata calls them that but you're repurposing a program that was
designed for other uses. I have found that the best interpretation of
those kinds of models for what I've done with them is usually to
generate predictions from the conditional distribution, which avoids
directly interpreting the coefficients. But with nonlinear models
there isn't a magic bullet for interpretation or effect size.
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