Support #2296
open
Lagging Youth variable -> Adult variable - cross-sectional or longitudinal weight?
0%
Description
As part of my analysis, I am conducting three lagged general linear models on Youth and Adult surveys. In each model, I regress a variable from Wave 3 of the Youth survey onto a variable from Wave 6, 9 and 13 of the Adult survey, respectively. Prior to the models, I filter all the Adult waves to only contain respondents who have responded in Wave 3 of the Youth survey.
I wasn't able to find information on how lagging variables from these two surveys should be handled. Should the cross-sectional or the longitudinal weight be used? If the latter, should it be the longitudinal weight specific to the wave used, or the very last wave that's being analysed, considering three separate models?
Updated by Understanding Society User Support Team about 8 hours ago
- Category set to Weights
- Status changed from New to In Progress
- Assignee changed from Understanding Society User Support Team to Olena Kaminska
- Private changed from Yes to No
Many thanks for your enquiry. The Understanding Society team is looking into it and we will get back to you as soon as we can. We aim to respond to simple queries within 48 hours and more complex issues within 7 working days.
Best wishes,
Understanding Society User Support Team