David, I would recommend the Multilevel Modelling List. http://www.nursing.manchester.ac.uk/learning/staff/mcampbell/multilevel.html
Regards, Frank -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of David Judkins Sent: September 4, 2009 2:26 PM To: [email protected] Subject: [Impute] Robustness of Multi-Level Modeling Software This is not an imputation question, but I don't know of a list serve for complex modeling questions. Maybe one of you will be able to help. Consider a mixed binary-normal distribution that results in a large point mass on the edge of an otherwise more-or-less normal distribution. An example is number of alcoholic drinks per day. Cigarettes per day is another example. Or the number of questions reading questions answered correctly on a sample that contains a large number of children who can't read at all. The child reading example is my real concern because the children come grouped by school. Anyone know of robustness studies of MLwin, HLM, Mixed, MPLUS, et cetera to this radical departure from normality? I have heard it asserted that school-level departures from normality are more of a concern than student-level departures, but is this too much of a departure? David Judkins Senior Statistician Westat 1650 Research Boulevard Rockville, MD 20850 (301) 315-5970 [email protected] _______________________________________________ Impute mailing list [email protected] http://lists.utsouthwestern.edu/mailman/listinfo/impute
