Hello,
In a previous post, I indicated there was a drastic reduction in my
sub-population size. I traced the problem to a variable with a lot of
missing cases.
As you can see from the table below, this variable elicits whether the
respondent engaged in unprotected sexual intercourse. About a third of
the cases (33.78%) are missing.
V761 -- Last intercourse used condom
-----------------------------------------------------------
| Freq. Percent Valid Cum.
--------------+--------------------------------------------
Valid 0 No | 6012 56.16 84.81 84.81
1 Yes | 1075 10.04 15.16 99.97
9 | 2 0.02 0.03 100.00
Total | 7089 66.22 100.00
Missing . | 3617 33.78
Total | 10706 100.00
-----------------------------------------------------------
Since the dependent variable in my deals with HIV risk, I need to
include sexual risk variables such as the V761 in the model. How do I
deal with this missing data problem, so that it does not affect my
sample size. Would an imputation work?
thanks, Cy
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