Support #1667
openYouth self completion longitudinal weight with non-monotone response
100%
Description
Hello,
I was looking to check if I have correctly understood the weight I needed for my analysis .
My analysis is a longitudinal using the youth self-completion data from waves 7-11, following them into young-adults, if applicable. However, I do not need the participant to have participated in every wave between 7-11, I just need them to have participated in at least two waves, it doesn't matter which.
I have read the responses to the following similar queries, and wanted to check if what I have understood is correct.
https://iserredex.essex.ac.uk/support/issues/1091
https://iserredex.essex.ac.uk/support/issues/1323
https://iserredex.essex.ac.uk/support/issues/1585
Would it be correct to use the last applicable sub-optimal weight for the wave that that individual participated in, and make a weight which is a combination of these?
For example:
IF last wave of data collection is Wave 11 (Young adult) then weight = k_indscui_lw
IF last wave of data collection is Wave 11 (Youth) then weight = k_psnenui_lw
IF last wave of data collection is Wave 10 (Young adult) then weight = j_indscui_lw
IF last wave of data collection is Wave 10 (Youth) then weight = j_psnenui_lw
IF last wave of data collection is Wave 9 (Young adult) then weight = i_indscui_lw (and so on ...)
So the weight variable that I use in the analysis is a combination of different weights, specific to their age at the last wave of participation. Or is it incorrect to take from different weight variables in this way?
I am concerned that if i just use the longitudinal enumeration weight for the last wave in the analysis (wave 11), I will end up excluding many participants.
Many thanks for your help