Understanding Society User Support

Karen,

Yes, weighting is necessary in fixed effect models.

Look for similar questions about pooled analysis on this forum - they may answer your question.

If you need more help, please give us details on what you want to estimate (e.g. people or events etc.)

Thanks,
Olena

Hi Olena,

Thanks so much for your prompt reply and for your help.

I tried to look for similar questions on this forum, but couldn't seem to find any solutions.

I am interested in how changes in volunteering behaviours are associated with changes in wellbeing. Questions on volunteering were asked in alternative waves (i.e. Waves 2, 4, 6, 8 & 10). I have now merged/append all relevant waves into one dataset in a long format.

(1) I'd like to ask whether it would be more appropriate to use the wave 10 longitudinal weight (j_indscub_lw), or to create a specific weight for the analysis?

(2) If creating a new weight is more appropriate here, what would be the steps to create one in a long data format? Do I need to reshape it to wide format -> then create a binary variable "response" (1=completed all 5 waves, 0=only completed Wave 2) -> run a logistic regression predicting "response" using predictors (e.g. age, gender, martial status) on a condition that participants not known to have died/emigrated and that participants have a Wave 2 weight value greater than 0 -> then generate a new weight = gen weightW25 = (1/p)*b_indscus_lw ?

Thank you and best wishes,
Karen

Karen,

There is no particular reason to create your own weight.
To help you select a weight, please explain how you analyse the data: are you looking at a change between 2 waves, or 3 waves at a time?

Thanks,
Olena

Hi Olena,

Thank you for your reply.

I am looking at a change between 5 waves (Waves 2, 4, 6, 8, and 10) at a time using fixed effects modelling. Is it correct to choose j_indscub_lw as the weight for my analysis?

Best wishes,
Karen

Karen,

Do you mean you study change between wave 2 and wave 10?
Or do you mean you study change between wave 2 and 4, and separately between 4 and 6 etc.
What is your outcome variable?

Thanks,
Olena

Hi Olena,

So sorry for the confusion. We are interested in studying changes between waves 2 and 4, and separately between 4 and 6 etc. The outcome variables are GHQ12 and SF12.

Best wishes,
Karen

Karen,

In this situation use longitudinal weight for wave 4 for the set of waves 2 to 4 outcome, lw weight for wave 6 for the set of waves 4 to 6 outcome etc. In a long format you will create a new weight variable and give it respective values.

Hope this helps,
Olena

Hi Olena,

Thanks so much for your reply and incredible help!

I think I might have misunderstood your question earlier. Just wanted to confirm with you that if I wanted to explore the changes from Wave 2 to 10, I should be using Wave 10 lw weight?

Best wishes,
Karen

Karen,

Yes, that's correct.

Olena