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Support #1677

Covid Wave cx_age variable inconsistencies

Added by Richard Shaw 8 months ago. Updated 6 months ago.

Status:
Resolved
Priority:
Normal
Category:
COVID-19
Start date:
04/07/2022
% Done:

100%


Description

I have noticed a few inconsistencies with the derived cx_age variables. For example if ages are listed where ca_age > ch_age.

|       pidp   ca_age   cb_age   cc_age   cd_age   ce_age   cf_age   cg_age   ch_age |
|------------------------------------------------------------------------------------|
25125. | 1156032651 45 . . . . . . 36 |
26501. | 1224193807 56 55 . . . . . 55 |
28127. | 1292924127 63 61 62 62 62 62 62 62 |
30217. | 1428717411 114 . . . . 40 40 40 |
30997. | 1496121727 80 71 71 71 71 71 71 72 |
----------------------------------------------------------------------------------

I have done a few other comparisons, and there is the odd anomly of a year, and the only big discrepancies seem to be related to ca_age.

There are few solutions to it. But I thought people should know.

#1

Updated by Understanding Society User Support Team 8 months ago

  • Category set to COVID-19
  • Status changed from New to In Progress
  • Assignee set to Understanding Society User Support Team
  • Private changed from Yes to No

Many thanks for your enquiry. The Understanding Society team is looking into it and we will get back to you as soon as we can.

We aim to respond to simple queries within 48 hours and more complex issues within 7 working days.

Best wishes,
Understanding Society User Support Team

#2

Updated by Understanding Society User Support Team 8 months ago

  • Status changed from In Progress to Feedback
  • % Done changed from 0 to 80

This inconsistency is due to the fact that in the April 2020 web survey, there were 433 full and 49 partial respondents, who entered a
date of birth or sex that did not match the information we hold on the sample file. Respondents whose identity we were able to
confirm (n=309) have been added back into the April 2020 data, from the 4th edition of the COVID-19 data onwards. These respondents are identified by the variable “ca_pidpcorrected” in the ca_indresp_w file and the xsample file - all pidps you reported above are such respondents ca_indresp_w=3 "Medium dob match, sex match". You can see section 6.1 Wave 1 web survey, page 11 in the Covid-19 User Guide for further details (https://www.understandingsociety.ac.uk/sites/default/files/downloads/documentation/covid-19/user-guides/covid-19-user-guide.pdf).

Thank you for highlighting this issue, we will try to include more on how this error affects the cw_age variable in the study documentation.

Best wishes,
Understanding Society User Support Team

#3

Updated by Understanding Society User Support Team 6 months ago

  • Status changed from Feedback to Resolved
  • % Done changed from 80 to 100

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