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Support #1666

Clarification of weights when joining datasets and comparing COVID and main survey waves

Added by William Shufflebottom about 2 years ago. Updated almost 2 years ago.

Status:
Resolved
Priority:
Normal
Category:
Data management
Start date:
03/07/2022
% Done:

100%


Description

Hi,

My name is William and I’m working on a social capital publication. I’m a little unsure of which weights we should be using in the “svydesign” in RStudio.
We are interested in the impacts of COVID-19 lockdowns on measures of social capital and are looking at variables in the COVID-19 wave 8 datasets primarily. However, we are also doing some comparisons between COVID-19 wave 8 and the Main Survey waves 6, and 10 where variables are the same. We have also left-joined domains by PIDP to our COVID-19 wave 8 from the xsample and Main Survey wave 11 to include missing domains.
I’ve looked at the guidance on which weights to use and I’m still a little unsure. We are comparing COVID-19 wave 8 (with joined wave 11 domains) to Main Survey Wave 6 and 10. So, we have the weights:
• Wave 6 - indinub_lw, and indinui_xw (no ui version for the longitudinal lw)
• Wave10 - indinui_lw, and indinui_xw
• COVID-19 Wave 8 - betaindin_xw, and betaindin_lw
We are only producing the mean, standard errors, confidence intervals, coefficient of variation. I think it’s just the xw weights we need but I’d like to clarify which weights we should be using for our analysis if that’s alright?

Kind regards

Will

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