On Sat, Oct 12, 2013 at 5:27 PM, David Winsemius <dwinsemius at comcast.net>wrote:
Your suggestions would be greatly appreciated. I'm under re-review at a
journal that requires effect size measures.
The journal's purpose of requiring effect sizes is to prevent authors from
focussing solely getting p-values, and then failing to explain the
implications of model estimates. Don't you have access to the fixef and
ranef functions?
I doubt that's the purpose for this journal. In my field, researchers are
pretty much only interested in interpreting the implications of the model
estimates, and frankly I'm not sure what the alternative is. Quite frankly,
most researchers in my field don't care about effect size one way or
another, and those that do are mainly using it in conjunction with
p-values, etc., to determine the likelihood the null hypothesis is true.
I'm working with a 4x3x2 design. Let's call them factors A, B, and C. What
I need to report is the size of the effect of A, B, C, and their
interactions, which I won't get from fixef (so far as I know). I would just
use an ANOVA but I have an unbalanced design.
(Even if the estimates for the individual fixed effects in the regression
were theoretically interesting -- they aren't -- large regression tables
simply aren't published in my field, and it would be a long, probably
unsuccessful slog trying to get one published.)
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