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Support #1377

Weights in Covid-19 Study

Added by Darja Reuschke over 3 years ago. Updated over 2 years ago.

Status:
Resolved
Priority:
Normal
Assignee:
-
Category:
-
Start date:
07/14/2020
% Done:

100%


Description

Dear Support Team,

I tsset (pidp wave) the April and May Study. Can I only use the weight (betaindin_xw) cross-sectionally for April and May separately or can betaindin_xw be used for the collapsed (April and May) sample to derive representative descriptions?

Many thanks in advance.

Best wishes,

Darja

#1

Updated by Alita Nandi over 3 years ago

  • Status changed from New to Feedback
  • Assignee set to Darja Reuschke
  • % Done changed from 0 to 60
  • Private changed from Yes to No

Hello Darja,

ca_betaindin_xw = i_indinui_xw * non-response probability based on a model of non-response between main W9 &W1. This weight is non-zero for W9 respondents who also responded in W1

cb_betaindin_xw = i_indinui_xw * non-response probability based on a model of non-response between main W9 &W2. This weight is non-zero for W9 respondents who also responded in W2, but may not have responded to W1.

You will need to include in the sample all those with a wave one weight and use the wave one weight; or include all those with a wave two weight and use the wave two weight.

If you want to focus on respondents who did an interview at both waves one and two then you will need a longitudinal weight. The covid19 team is currently working to produce this weight and the plan is to include it in a future data release.

Information on weights for this survey is also available in the user guide: https://www.understandingsociety.ac.uk/documentation/covid-19/user-guide

Does this answer your question? If not, please let us know.

Best wishes,
Alita
On behalf of Understanding Society User Support Team

#2

Updated by Alita Nandi over 3 years ago

  • % Done changed from 60 to 90
#3

Updated by Understanding Society User Support Team over 2 years ago

  • Status changed from Feedback to Resolved
  • Assignee deleted (Darja Reuschke)
  • % Done changed from 90 to 100

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