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Support #1667

Youth self completion longitudinal weight with non-monotone response

Added by jennie parnham about 2 years ago. Updated 9 months ago.

Status:
Resolved
Priority:
Normal
Category:
Weights
Start date:
03/14/2022
% Done:

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

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