Hello Everyone, I am a graduate student working on a CBC study. I want to give participants 3 choices per task with a None option, so I have been looking at doing a multinomial or conditional logit model. My issue is that in my experience, logistic regressions involve dummy coding or having levels of a factor compare with a base level. So if you have a factor with 3 attributes, the analysis yields 2 coeefficents which give their relation to the third attribute.
I thought that the utility scores were equal to the coeeficients, but when I look at other analysis software such as XLstat or Sawtooth, they have a utility score for each attribute. Can anyone explain where I am going wrong? I would greatly appreciate it. I have also considered using the rhierMnlRwMixture command in the bayesm package, but can not figure out if I am setting up the data correctly. Thanks for your time, -- View this message in context: http://r.789695.n4.nabble.com/Utility-scores-from-mlogit-clo-git-for-CBC-tp4672253.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.
