# observations lower than # cases PreviousNext
Mplus Discussion > Missing Data Modeling >
Message/Author
 Bonnie Brett posted on Thursday, January 26, 2012 - 6:45 pm
Hello all,

My lab has come up against a wall with an unusual problem. We are working with a data set that has a lot of missing data (MCAR), but 183 cases that we wish to include in the analysis. However, every time we run, MPlus reports 112 observations - we have tried turning listwise on and off, have specified our analyses as basic, missing, and estimator = ml, but none of it makes a difference. We have examined the raw data and there are indeed 183 cases. We have left the missing values blank and specified that with "missing = ." Any ideas of what we are doing wrong?
 Linda K. Muthen posted on Thursday, January 26, 2012 - 8:18 pm
If the missing values are blanks, the data will be read incorrectly with free format. I'm not sure why you would specify MISSING=. if the missing values are blanks.
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