[R-sig-ME] eta-squared in lmer
Petar Milin
pmilin at ff.uns.ac.rs
Tue Apr 19 09:38:25 CEST 2011
Fine, I like logLik too, moreover, I am used to aic, bic and logLik, but
it is hard to persuade stubborn reviewers and to convert journal policy.
So, what can I do? How to make all happy? Furthermore, my model does
have slope adjustment (a very cute one)! Hence, no ez-tool, no mcmc, ...
Thanks!
PM
On 18/04/11 17:39, Mike Lawrence wrote:
> Actually, the ez package provides estimates of generalized eta-squared
> for ANOVA only, sorry. That said, it could be argued that measures of
> effect size (like eta-squared) represent a half-hearted attempt by
> scientists to move beyond the impoverished information provided by
> p-values, and that a full-hearted alternative that provides the
> information we really want as scientists is the likelihood ratio. To
> this end, ez *does* provide likelihood ratios for fixed effects in
> mixed effects models with simple random effects structures (eg. no
> "varying slopes" models).
>
>
> On Mon, Apr 18, 2011 at 11:45 AM, Petar Milin<pmilin at ff.uns.ac.rs> wrote:
>> Hello ALL!
>> Until now I have never been asked to provide (partial) eta-squared for any
>> of my lmer models. However, reviewers in a journal where I plan to submit
>> have strict policy of having this particular statistics. I know about EZ
>> package, and that it could/should do something of the kind, but I do not
>> know details. Please, can anyone tell me how can I get etas from typical
>> lmer model? I know general logic of it, but never dig deeper. Moreover, I
>> think I've read somewhere that it is biased. Can you suggest some good
>> reference?
>>
>> Thanks,
>> PM
>>
>> _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>
--
#####################################################################################
Petar Milin
Department of Psychology, University of Novi Sad, Serbia
&
Laboratory for Experimental Psychology, University of Belgrade, Serbia
Address: Dr Zorana Dindica 2, Novi Sad 21000, Serbia
E-mail: pmilin<AT> ff.uns.ac.rs
Tel.&Fax: +381 21 458 948
Official homepage (in Serbian):
http://www.ff.uns.ac.rs/fakultet/ljudi/fakultet_odseci_psihologija_petar_milin.html
Personal homepage:
http://sites.google.com/site/pmilin/
#####################################################################################
More information about the R-sig-mixed-models
mailing list