Hi, I'm not used to thinking along these lines, and wanted to ask your advice:
Suppose you have a sample of around 100, consisting of patients according to doctors, in which patients and doctors are given a questionnaire with categorical responses. Each patient somehow has roughly 3 doctors, or 3 rows of data. The goal is to assess by category of each question or DV the agreement between the patient and 3 doctors. For example, a question may be asked about how well the treatment is understood by the patient, and the patient answers with their perception, while the 3 doctors each answer with their perception. The person currently working on this has used a Wilcoxon Sign Rank test, and asked what I thought. Personally, I shy away from nonparametrics and prefer parametric Bayesian methods, but of course am up for whatever is most appropriate. I was concerned about using multiple Wilcoxon tests, one for each question, and wondering if there is a parametric method in R for something like this, and a method which is multivariate? Thanks for any suggestions. -- View this message in context: http://www.nabble.com/Function-recommendation-for-this-study...-tp23469646p23469646.html Sent from the R help mailing list archive at Nabble.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.
