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| From | Nick Cox <njcoxstata@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: st: Using MVN for Multiple Missing Ordinal Variables |
| Date | Sun, 8 May 2011 17:32:40 +0100 |
I would reverse this question. On what grounds could multivariate normal possibly seem right for ordinal data? Why are you considering such distributions at all? Presumably you have some information on the distributions of your ordinal variables. If they seem like integer-rounded variants of normals, then MVN might be the best thing you can come up with, but it hardly seems appropriate or attractive otherwise. Likert scales are named for Rensis Likert, so capitalisation is recommended. Nick On Sun, May 8, 2011 at 2:15 PM, Clifton Chow <clifton_chow@post.harvard.edu> wrote: > I have multiple missing values from a survey administered to a sample of just slightly over 150 persons. The items are structured in a ordered likert scale of between 5 and 8 items. I have checked missing patterns with misstable and most are not monotone. I need to impute missing values and generate descriptive statistics. I am wondering if Impute MI MVN method (mutivariate normal) with stata 11 would be appropriate for ordinal data? If it is, once I generate the 10 imputed datasets, should I simply average the imputed values and adjust the variance? Does anyone with experience working with missing values have any other suggestion for ordinal data? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/