I need to present effect sizes for my 3dLMEr results. What is the convention? the -R2 option provides overall model fit, but not individual fixed effects effect sizes. Would converting the Chi-squared to a Cohen's w be the best or running a follow up on the mean of the significant voxels in R?
Andrew
AFNI version info (afni -ver):
Precompiled binary macos_13_ARM_clang: Jan 24 2024 (Version AFNI_24.0.02 'Caracalla')
For effect size, are you focusing on the marginal effects estimated using the -gltCode option? I generally prefer using the point estimate along with its standard error (or the associated t-statistic) as a measure of effect size. However, if Cohen's d is preferred for some reason, it can be calculated as d = \frac{t}{\sqrt{df}} , where df is the degrees of freedom for the t-statistic.
That's basically what I was thinking -- I have Chi-squared output tho. Perhaps its because I just used the general fixed effect output instead of -gltCode
When you say point estimate -- what is the Brik label?
For each effect estimated using -gltCode, the first sub-brick contains the point estimate for each voxel, while the second sub-brick provides the corresponding statistical value.
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.