Understanding Society User Support

i now realise there arent any youth longitudinal weights, i do not think id have the capabilities to create my own weight given my time constraints. Could you please suggest another alternative? would i be able to use the cross sectional youth weight? or perhaps the household longitudinal weight as that is the exposure

Thanks very much for this. I looked through the previous queries and it seems that when a custom weight is not created, the longitudinal enumeration weight (psnenus_lw) is usually recommended. Would this be suitable for analyses focused on youth outcomes? I understand that it adjusts for attrition across waves, but I am unsure whether it is designed specifically for youth samples? in practice, do researchers typically use this weight for youth-focused analyses?

Attrition is something i want to account for issue in this study, and I believe psnenus_lw accounts for general dropout over time. However, I am not sure whether it captures the structural missingness in the youth files as participants age out of eligibility?

Finally, if psnenus_lw is used, should it be applied to the final merged dataset after linking the household, adult, and youth files?

Akansha,

Thank you for your question. Ideally you would create your own tailored weight following the training here: https://www.understandingsociety.ac.uk/help/training/creating-tailored-weights/ .

But if you have time constraints, and as you correctly pointed, you could use a longitudinal person weight. I suggest you use o_psnenui_lw in your analysis. Note, the weight comes from wave 15, and note, it is ui and not us (higher sample size).

If you were to create you own weight you could start with m_pwnenui_lw, and predict nonresponse in one regression from wave m to being in your model. Note, you would want to limit in the model to eligible people (3 years of age, I think, who would be 10-13 in wave m, as they still have to be able to participate in wave 15 in youth questionnaire).

Hope this helps,
Olena