Understanding Society User Support

Thanks Alita, I'm still a bit confused.

I understand that the covid sample also includes some individuals who were not interviewed in wave 9. But I am talking about matching only those individuals who have a full interview in wave 9 as identified by the i_ioutcome variable (so my matching is done only for those with i_ioutcome=11). According to the user guide "The interview outcomes will allow identification of the last wave a respondent was interviewed in the annual survey" so I would expect that all those with i_ioutcome=11 would match in with the i_indresp data file. Or is the i_ioutcome variable pertaining to whether the household (not the individual) had at least one full interview in wave 9 (which may or may not have been the person interviewed in the covid sample? So say person A from household X is interviwed in wave 9 and person B from the same household is then interviewed in one of the covid modules, then person B would have i_ioutcome=11 even though they were never interviewed in wave 9?

And checking the age variable, there are plenty of older individuals (way past 16) who don't match.

best
Cristina

Sorry I misunderstood your question. But I could not find the problem you have highlighted. Your understanding of i_ioutcome is correct - a value of 11 means that that individual had completed an adult individual interview in Wave 9.

I checked and found that everyone in ca_indresp_w with i_ioutcome=11 are also available in i_indresp. I used the following Stata syntax to check this. The merge showed that there were 15835 observations in both files, and 20220 only in i_indresp but not in ca_indresp_w. There were no cases that were in ca_indresp_w but not in i_indresp.

// Stata syntax //
use ca_indresp_w" clear
keep if i_ioutcome==11
merge 1:1 pidp using i_indresp

Best wishes,
Alita