Hello everyone, I have some data I would like to analyse where my response variables are categorical data: several participants were asked to give answers in the form of 1 to 5 (for the degree of importance given to certain items). So, what I have now is response variables that can just take 5 possible values: 1, 2, 3, 4 or 5. After a bit of research, I have learned this might be a case of multinomial categorical data, although I am not sure whether ordered multinomial or nominal multinomial. I would like to apply generalized linear mixed models to my response variables, but I am a bit lost at the moment. Should I just use lmer and change the link function? Is it better to try MCMCglmm package and start from there?
Any slight guidance or light shed on this would be greatly appreciated. Thanks a lot! __________________________________________________________________ Dr. Iker Vaquero-Alba Visiting Postdoctoral Research Associate Laboratory of Evolutionary Ecology of Adaptations School of Life Sciences Joseph Banks Laboratories University of Lincoln Brayford Campus, Lincoln LN6 7DL United Kingdom https://eric.exeter.ac.uk/repository/handle/10036/3381 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
