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...al variable "EducationLevel" into a continuous variable "EducationScore". However, this procedure does not account for the fact that one of my variables (EducationLevel) is ordinal. For instance, the weights obtained after performing the correspondence analysis could be non-monotically increasing (weights used in order to compute the projection on the first factor). In summary, the question is: (1) Are there statistical procedures that account for the ordinal nature of the Level variable (so that the weights are monotically increasing: order constraints on the weights)...

Hi I've simulated multivariate longitudinal. The data is a mixture of conitnous and categorical data. I've stored it in matrix form with the time dependent variables as colons. Now I want to create a monote missing data pattern starting of with MCAR-missingnes and different proportions of missingdata and then refine the function to handle MAR and NMAR. Is there anybody that could help or point in the right direction. /Mauri [[alternative HTML version deleted]]