Kim This would depend a lot on how the DV is distributed within the 0-100 range. It's even conceivable that the usual linear model could be used without much problem (e.g. if the mean is 50 and the sd is small, then the bounds of 0 and 100 will exist more in theory than in practice; of course, you'd still want to do a lot of diagnostics).
0 to 100 makes me think of a percent, there are methods for dealing with percents. More generally, you may want to look at Long, JS (1997). Regression Models for Categorical and Limited Dependent Variables. Sage. which I find useful frequently. HTH Peter Kim Mouridsen wrote: >Dear R experts > > > >How can you perform a regression analysis in R when the dependent >variable is countiuous but bounded, say between 0 and 100? > >I would be grateful for pointers to R-functions but also for hints to >relavant litterature since I have never worked with this problem before. > > > >Thanks in advance. > >Kim Mouridsen. > > > [[alternative HTML version deleted]] > >______________________________________________ >[EMAIL PROTECTED] mailing list >https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
