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: richs...@earthlink.net
----- Original Message -----
From: "Paul Heinrich Dietrich" <paul.heinrich.dietr...@gmail.com>
To: <r-help@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.
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