Hello, I am trying to perform multiple imputation for binary data that is MNAR in SAS 9.4. The data comes from an adaptive test with large missing rates where basically 90% of the variables have missing data due to the adaptive algorithm. I need to impute the whole data set so that I can perform a confirmatory factor analysis. First, I used the FCS discrim within the proc mi statement including all my variables as class variables. My problem is that I cannot incorporate the MNAR statement and do not know how to specify the model for MNAR since I need to impute all the variables in the data set. I do not even get the MNAR statement activated when I typed it into my code.
I have read that the MNAR statement can be used along with FCS but I cannot find any example. Any suggestions would be greatly appreciated.
Below is the code that I have for the FCS part:
%macro myimp(mydata=repcat1, myoutimp=imp1);
proc mi data=&mydata nimpute=5 out=&myoutimp;
class q1-q50;
fcs plots=trace (mean std);
var q1-q50;
fcs discrim (q1-q50/classeffects=include);
run;
%mend;
Thank you!
