Paul Heinrich Dietrich
2009-May-10 12:25 UTC
[R] Function recommendation for this study...
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.
Paul, I suggest looking up "observer agreement". The description of your study sounds like a classical categorical observer agreement problem. I can't give a reference off the top of my head, but if you get stuck, e-mail me and I'll try and find a ref to get you started. Murray M Cooper, Ph.D. Richland Statistics 9800 N 24th St Richland, MI, USA 49083 Mail: richstat at earthlink.net ----- Original Message ----- From: "Paul Heinrich Dietrich" <paul.heinrich.dietrich at gmail.com> To: <r-help at r-project.org> Sent: Sunday, May 10, 2009 8:25 AM Subject: [R] Function recommendation for this study...> > 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 at 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. >