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Support #2296

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Lagging Youth variable -> Adult variable - cross-sectional or longitudinal weight?

Added by Szymon Olejarnik about 2 months ago. Updated 26 days ago.

Status:
In Progress
Priority:
Normal
Category:
Weights
Start date:
11/19/2025
% Done:

60%


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?

Actions #1

Updated by Understanding Society User Support Team about 2 months 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

Actions #2

Updated by Olena Kaminska about 2 months ago

Szymon,

Thank you for your question. The weight would depend on whether the model requires complete or incomplete information from lagged variables. If the model is happy with an incomplete information (so some missingness from previous waves is fine) then the model deals with nonresponse itself (either via an assumption or via some type of nonresponse correction). In that situation you won't need the weights to correct for that part of nonresponse. If not, and the model requires only complete information from all points of time of a lagged variable you would need our longitudinal weight to account for nonresponse in each point of time.

Hope this helps,
Olena

Actions #3

Updated by Understanding Society User Support Team 26 days ago

  • Assignee changed from Olena Kaminska to Szymon Olejarnik
  • % Done changed from 0 to 60
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