Hi,
I calculated a logistic regression based on poll data that show a large
percentage of missing data.
The initially summary shows - the missing sub-command set on default -
included in the analysis 8,196
missing cases 7,253
Total 15,449
To see whether the large part of missings has any effect on the result I
excluded missings by counting all missing values in the list of
dependent and independent variables and then filtered for no missings.
In addition I set the missing sub-command on exclude.
count ka = list of independent variables (missing values).
temp.
sel if ka = 0.
LOGISTIC REGRESSION dependent WITH independent
/CATEGORICAL = ...
/CRITERIA = CUT(0.5) ITERATE(20)
/NOORIGIN
/miss exclude.
To my surprise, the number of missings did not drop to 0 .
The summary now shows
included in the analysis 8,196
missing cases 4,200
Total 12,396
How can I achieve to get the missings excluded so that included total ?
- ftr
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