Level 2 imputation: MISSINGFULL error

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gilleecl
Posts: 24
Joined: Fri Dec 17, 2010 11:24 am

Level 2 imputation: MISSINGFULL error

Post by gilleecl » Wed Aug 23, 2017 11:18 am

hi,

Thanks to your earlier help, I have got an imputation model running when imputing Level 1 variables only. However, can you advise on the imputation of level 2? When trying a test MI model, with one L2 response variable and two auxiliary variables (cons and another L2 var with no missing vals), I get an error message about accessing MISSINGFULL (see attached). Would you have any advice? I have organised the input file so that all Level 1 vars are before Level 2 variables and the file is sorted by level 2 and level 1 IDs.
Many thanks
Lorraine
Attachments
Level 2_error.docx
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ChrisCharlton
Posts: 906
Joined: Mon Oct 19, 2009 10:34 am

Re: Level 2 imputation: MISSINGFULL error

Post by ChrisCharlton » Tue Sep 12, 2017 4:00 pm

Would it be possible to provide some more information regarding your model specification? In particular could you provide a screenshot of the equation displayed by Realcom as this should provide us with additional details? If you were able to provide any example data with the steps that cause the error then we can also attempt to replicate it.

RitaPickett
Posts: 5
Joined: Sat Nov 18, 2017 5:35 am

Re: Level 2 imputation: MISSINGFULL error

Post by RitaPickett » Mon Nov 20, 2017 6:30 am

MISSING FULL error comes more frequently with imputation models. As chris told it would be easier if you had provided with a screen shot. If so we could encounter error and replace it earlier. Use Multiple Imputation. Multiple Imputation fills in estimates for the missing data. But to capture the uncertainty in those estimates, MI estimates the values multiple times. Because it uses an imputation method with error built in, the multiple estimates should be similar, but not identical. Otherwise you can analyze the full, incomplete data set using maximum likelihood estimation. This method does not impute any data, but rather uses each cases available data to compute maximum likelihood estimates.

gilleecl
Posts: 24
Joined: Fri Dec 17, 2010 11:24 am

Re: Level 2 imputation: MISSINGFULL error

Post by gilleecl » Tue Nov 21, 2017 9:10 am

thanks, I had found a work around at the time but once I get back to this project, i'll certainly provide a screenshot if I can replicate the error. thanks for your help.

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