"All models are wrong, but some are useful." --George Box I do not understand what you mean by "acceptable, nor "levels" nor "units". Specifying your model would help clarify things, I think. If by "levels" you mean number of different values of a random factor, than 2 levels is unlikely to tell you much useful about the variability of that factor. On the other hand, 50 values might be. Depends on the model,the data, and the scientific objectives, none of which you have stated clearly enough for me to understand, anyway.
-- Bert -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of ronggui Sent: Sunday, November 27, 2005 9:34 AM To: r-help@stat.math.ethz.ch Subject: [R] multilevel models and sample size It is not a pure R question,but I hope some one can give me advices. I want to use analysis my data with the multilevel model.The data has 2 levels---- the second level has 52 units and each second level unit has 19-23 units.I think the sample size is quite small,but just now I can't make the sample size much bigger.So I want to ask if I use the multilevel model to analysis the data set,will it be acceptable? or unacceptable because of the small sample size? Thank you very much! ronggui 2005-11-28 ------ Deparment of Sociology Fudan University My new mail addres is [EMAIL PROTECTED] Blog:http://sociology.yculblog.com ______________________________________________ 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
