Classification: UNCLASSIFIED Caveats: NONE I have a large group randomized trial (pre-post design) where the randomization was marginally successful. Given the pre-existing differences among groups, it makes sense to report adjusted means (aka least squares means though I estimated them via predictions from lme rather than lm).
I would like to report effect sizes (Cohen's d) calculated as: (Mean1-Mean2)/sqrt(((N1*VAR1)+(N2*VAR2))/(N1+N2)) Can anyone provide advice on what would be a reasonable value to use for the variance estimate in the equation? Any other thoughts on how to calculate effect sizes on adjusted mean values? Thanks, Paul LTC Paul D. Bliese Commander, US Army Medical Research Unit - Europe Heidelberg, Germany DSN: 314-371-2626 COMM: +49-6221-172626 Classification: UNCLASSIFIED Caveats: NONE ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
