Dealing Practically with Missing Data
Missing Data Steps
As discussed in Chapter 4 you first need to diagnose and then deal with missing data.
Your first task is to assess observations with too much missing data, then to assess
variables for missing data.
SAS has various programs that can assess the issue. As we have seen in the “Code07a”
file, the standard descriptive statistics models assess missing data per variable
(as do the frequencies modules).
However, in addition, I have written a SAS program that gives you automatic analyses
of both observation-level and variable-level missing data. Open and run “Code09a Gregs
missing data analysis,” which is based on the dataset “Data01_Initial.” Open and run
it to see the result.
Assessing ...
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