Understanding Society User Support

Hi there

I also have the same question as Laia but I am not entirely sure I am getting Alita's response right. In my case I would need to run a longitudinal analysis using Waves 7,8,9 and the three COVID19 surveys. Does this mean that I need to create a new weighting variable where values take the values of the indscus_lw for waves 7,8 and 9 and the values of betaindin_xw for the three COVID19 waves?

Thanks,
Harry

Hello Harry,

Currently there is no longitudinal weight provided for analysing Covid waves. Only cross-sectional weights for each Covid survey is provided. The weight provided with a specific Covid19 survey wave W, cW_betaindin_xw = the main annual survey Wave 9 cross-sectional weight (i_indinui_xw) X inverse of the response propensity of Wave 9 respondents responding to that particular covid19 survey wave, W. This is also explained in the Covid19 survey user guide, Section 14.1.

hope this helps.

Best wishes,
Alita

Thanks Alita.

I have certainly read the survey user guide before I post my question here. What is not clear to me is the weight we need to use when our analysis include both pre-covid and covid waves. There has been a number of published papers that combine pre and post covid UKHS waves but again I did not manage to find information on their weighting strategy. Since the cW_betaindin_xw weight is a product of Wave 9 it seems that an analysis that include Wave 9 and all post covid waves can be weighted by generating a new variable that includes values from i_indinui_xw for wave 9 participants and the corresponding cW_betaindin_xw for each of individual participated in the post covid waves. However, there are participants in the post-covid waves that have not participated in Wave 9 but they did in Wave 8 or Wave 7. Currently, it seems that these individuals are assigned with a zero weight (cW_betaindin_xw=0). So is there any suggestion from your part on how I should go about weighting a sample that includes both pre covid (not only Wave 9) and post covid waves?

Best,
Harry

Hello Harry,

My understanding is that with the weights currently provided you cannot do that. The weight, cW_betaindin_xw = i_indinui_xw * non-response adjustment between Wave 9 and Covid19 wave W. I will forward your query to the covid weighting team, in case they have any suggestions.

Best wishes,
Alita

Many thanks Alita! I appreciate this. Best, Harry

Hi Alita. Are there any news from covid weighting team on the longitudinal weighting issue?

The longitudinal weights will not be available with the next release of the data.

Thanks Alita. Are there any advices Usoc users can get from covid weighting team on how to construct longitudinal weights and also how to use them when analysis includes both pre and post covid waves? Am I right to say that at the moment UKHLS weights for covid waves cannot be used if someone wants to run regressions in longitudinal settings? I would be grateful if you could clarify that. Many thanks!

The current weights available with Covid19 survey data (cW_betaindin_xw) do not adjust for any bias arising from non-response between Covid19 waves.

I have passed on your request for weighting guidance to the Covid19 team.

Hi Alita. Just a reminder on this issue. Any advices from Covid team on what weights one should use when conducting analysis with pre (including wave 10 and 11) and post covid waves? Would the construction of Inverse probability weights be suitable here? These are constructed using cross -sectional weights though so I am not sure if they can be used for longitudinal analysis. Moreover Waves 1o and 11 have no variable for weights, so what are our options here?