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Weights for repeated cross sectional study

Added by Martina Lippi about 2 months ago. Updated 27 days ago.

Status:
Feedback
Priority:
Normal
Category:
Weights
Start date:
05/20/2025
% Done:

50%


Description

Hi,

I am working on Understanding Society as a repeated cross-sectional study looking only for participants between 16-30 years old in each wave with the purpose of conducting group based trajectory modelling; participants have to appear at least in two time points. From the support #1739 it seems I can use cross-sectional weights, but I just wanted to make sure this is the right approach or are there any other recommended practices?

Thank you.

Best wishes,
Martina

Actions #1

Updated by Understanding Society User Support Team about 2 months ago

  • Category set to Weights
  • Assignee changed from Understanding Society User Support Team to Olena Kaminska
Actions #2

Updated by Olena Kaminska about 2 months ago

Martina,

Thank you. If you use information within people longitudinally (e.g. you compare between time points) you would need longitudinal weights.

For more information read here:
https://www.understandingsociety.ac.uk/wp-content/uploads/working-papers/2024-01.pdf

Hope this helps,
Olena

Actions #3

Updated by Martina Lippi about 2 months ago

Hi Olena,

Thank you for your reply.
However, since the data is repeated cross-sectional, per each wave not every participant will appear longitudinally that is why the focus is not on individual changes but population changes over time; this is what is creating confusion over whether I should use cross-sectional or longitudinal. I hope you can definitely confirm the required weights.

Many thanks

Actions #4

Updated by Understanding Society User Support Team 28 days ago

  • Status changed from New to Feedback
  • % Done changed from 0 to 50
  • Private changed from Yes to No
Actions #5

Updated by Olena Kaminska 27 days ago

Martina,

If you are using each wave cross-sectionally, why do you require for participants to have answers in at least 2 waves?

Olena

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