Dear STATALIST,
I have observation data for a survey. The survey has been conducted 10
times with some of the same people. Each person has an id that is used
each time. I would like to delete all observations related to people
who have not participated 6 or more times.
My strategy has been to first create a new variable that will be equal
to the number of interviews that person has had total. So, the 1998
data for person 1 will be "6" if they've been in 6 surveys and so will
the 2000 data.
I first tried,
"by person__id : egen interview__count = count( person__id ==
person__id & question1 != -5 "
The strategy here is that "question1" will be "-5" if the person was
not interviewed.
Then I tried...
forvalues pid = 1(1)12686 {
egen interview__count = count( person__id == `pid' & question1 != -5 )
if person__id == `pid'
}
The first failed for unknown reasons and the second succeeded for
"pid=1" but then failed for further runs because the variable already
existed. I would have used "replace" instead but the "count" function
is not available with replace.
My next try will be to use the above format to create
"interview__count$i" for each person, then run replace to set each
person's "interview_count" to "interview_count$i" but I think this is
poor way to do it and I'm looking for suggestions.
Thank you,
Jay McCarthy
--
Jay McCarthy <[email protected]>
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