Dear all, I have a dataset with students nested in schools and also schools belong to each district. The data was explicitly nested as previous examples. In my case, I don't care the variance between schools or district,and I just want to assess the effect of different teaching methods,traditionally,the model can be specified in lmer like : lmer(score~method+(1|district/school),data) notes: the method was a factor(m1.......m10) in my study ,I want to know the variance between methods,and I also use some covariates at method level to explain the variance between methods. I construct the unconditional model and conditional models like these: unconditional model :lmer(score~1+(1|method)+(1/district/school),data) conditional model :lmer(score~1+CK+(1|method)+(1/district/school),data) the CK indicates the evaluation score for each method.
What I want to confirm is whether the specification of all the models was reasonable and correct in lmer. Any help will be appreciated. yours, Lei Chen [[alternative HTML version deleted]] ______________________________________________ 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.