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Support #1362

Deriving own weights

Added by Karen Mak over 2 years ago. Updated about 1 year ago.

Status:
Resolved
Priority:
Normal
Assignee:
-
Category:
-
Start date:
06/16/2020
% Done:

100%


Description

Hope you are well.

My research focuses on the relationship between arts engagement (Wave 2) and wellbeing (Wave 5) using OLS regression. I understand that if I am using more than one wave, a longitudinal weight is more appropriate. But using that would lead to a significant drop in my sample size, therefore I would like to derive my own weight based on the the guidelines stated in "Understanding Society: Weighting and Sample Representation FAQ 2019". I have prepared the weighting codes and I would be extremely grateful if you could let me whether the coding is correct:

gen responseW5=1 if e_hidp!=. & b_hidp!=.
replace responseW5=0 if e_hidp==. & b_hidp!=.

logit responseW5 eventfqW2_v2 marstatW2 child16W2 ageW2
predict p

gen weightW25 = (1/p)*b_indscus_xw

Thank you.

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