Just another opinion about R^2 coming from the field of US Psychology research and business: The first and foremost technique taught in Psychology Departments in subfields where experimental designs are rarely possible (i.e., social psychology, personality psychology, developmental psychology, Industrial/Organizational psychology) is multiple regression. You have some important response variable and a bunch of predictors. The goodness of fit of the model is assessed by looking at R^2. Hence, everyone has a feel for it and everyone wants to see it reported. Further, in business settings, most clients can understand a simple correlation. So, "correlation squared" is relatively easy to explain. Most of the corporate clients get nervous if you try to explain even a simple confusion table. Why? Because they have no internal benchmark for what's good fit and what's bad fit. With R^2 it's much easier. Dimitri
On Wed, Apr 29, 2009 at 7:51 AM, Peter Flom <peterflomconsult...@mindspring.com> wrote: > Dieter Menne <dieter.me...@menne-biomed.de> wrote > >>I noted the "and" was misleading. Read: Good journals like Lancet, >>New English and many British Journal of XXX really help you to do >>better. > > I am one of the statistical editors for PLoS Medicine, and I try to help > people do better; often, the people take my advice. Sometimes, they don't. > > I get good support from the editorial people there. > > Peter > > > > Peter L. Flom, PhD > Statistical Consultant > www DOT peterflomconsulting DOT 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. > -- Dimitri Liakhovitski MarketTools, Inc. dimitri.liakhovit...@markettools.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.
