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, klai...@libero.it <klai...@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@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/ ______________________________________________ R-help@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.
