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| Missing data in categorical outcomes ... |
 
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| ResNL posted on Wednesday, June 16, 2010 - 6:44 am
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Dear Linda/Bengt,
I have ten categorical outcomes that contain a lot of missing data. It is MAR since the missingness depends on endorsing certain questions (that are not in my datafile). How can I go about for handling this missing data? I've seen some imputation options in the manual but it appears that those options cannot be used with categorical outcomes. Thanks for your assistance. |
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| You missingness will not be MAR if the data the missingness depends on are not part of the analysis. DATA IMPUTATION can be used with categorical outcomes. See the Version 6 user's guide which is on the website. |
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