[R] R2 in multilevel modelling

[Joshua Wiley]

Hi Chiara,

If you just want to compare model fit, you could use a LRT between
models where you do and do not estimate the variance/covariance matrix
of random effects.

R^2 in mixed models do not have the same nice properties they do in
fixed effects models.

Cheers,

Josh

On Mon, Apr 30, 2012 at 3:21 AM, klair87 at libero.it <klair87 at libero.it> wrote:
> Goodmorning everybody,
> i'm an italian statistician and i'm using R for research.
>
> Could someone tell me some indices to see the goodness of fit in multilevel
> modelling?
> I'm using the lmer function, and I want to know if my model fit well my
> data.
> I actually want to justify the use of multilevel model instead the classical
> one.
>
> Hope someone can help me.
> Thank you.
>
> Greetings
> Chiara
>
> ______________________________________________
> R-help at r-project.org 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.



-- 
Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, Statistical Consulting Group
University of California, Los Angeles
https://joshuawiley.com/