Understanding Society User Support

Karen,

Thank you for your question. A few comments:
1) as a base weight you should use a longitudinal weight b_indscus_lw, not cross-sectional weight;
2) please exclude those who died and left the country in a meantime - they should not be considered as nonrespondents;
3) condition your logit model on non-zero b_indscus_lw;

Hope this helps,
Olena

Dear Olena,

Thank you so much for your prompt response. This is really helpful!
May I ask, for point 3, does it mean fitting the model like this: logit responseW25 b_indscus_lw ?

Best wishes,
Karen

I am sorry - I meant a model like this: logit responseW5 ageW2 if b_indscus_lw>0 & b_indscus_lw!=. ?
Would it matter if I included more W2 predictors in the logit model? Are there any specific W2 predictors that need to be included?

With appreciation,
Karen

Karen,

Yes, I would recommend more predictors. Choose predictors to be related to both nonresponse and your own model of interest. But I would err on higher number of predictors if you are uncertain. Note, predictors need to be from wave 2 and should not have any missing values for non-zero b_indscus_lw.

Hope this helps,
Olena

Thank you so much for your helo Olena! Hugely grateful.

Karen Mak wrote:

Thank you so much for your help Olena! Hugely grateful.