Daniel Ezra Johnson <johnson4 <at> babel.ling.upenn.edu> writes:
> > I am fitting models to the responses to a questionnaire that has > seven yes/no questions (Item). For each combination of Subject and > Item, the variable Response is coded as 0 or 1. > > I want to include random effects for both Subject and Item. While I > understand that the datasets are fairly small, and there are a lot of > invariant subjects, I do not understand something that is happening > here, and in comparing other subsets of the data. > > In the data below, which has been adjusted to show this phenomenon > clearly, the Subject random effect variance is comparable for A > (1.63) and B (1.712), but the Item random effect variance comes out > as 0.109 for B and essentially zero for A (5.00e-10). ... Check the list archives for quite a few postings of Professor Brian Ripley on the subject of Hauk-Donner. Dieter ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.
