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Support #730

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ff_newimm

Added by Yujung Whang over 7 years ago. Updated over 7 years ago.

Status:
Closed
Priority:
Normal
Assignee:
Category:
-
Start date:
02/23/2017
% Done:

100%


Description

Hi, I wonder if there is a typo for the universe of "ethid4a" variable in wave 5.
The online documentation says the variable was collected for those who satisfy other conditions plus ff_newimm=1.

I could not find the variable ff_newimm but e_newimm from e_indall dataset.
So I wonder if the online documentation includes a typo/ there exists a variable 'ff_newimm' that I can not find.

Also, I wonder how the recent immigrant was defined, for instance, does it includes the new immigrants for the given wave or does it include those who immigrated since wave 1.

Thanks!
Yujung

Actions #1

Updated by Victoria Nolan over 7 years ago

  • Status changed from New to In Progress
  • Assignee set to Victoria Nolan
  • % Done changed from 0 to 10
  • Private changed from Yes to No

Dear Yujung,

Many thanks for your message - the team here is looking into it and we'll get back to you as soon as we can.

Best wishes, Victoria

On behalf of the Understanding Society Data User Support Team

Actions #2

Updated by Victoria Nolan over 7 years ago

  • Status changed from In Progress to Feedback
  • Assignee changed from Victoria Nolan to Yujung Whang
  • % Done changed from 10 to 90

Dear Yujung,

There is no typo. The ff type variables are ones that are fed forward (ff) into a subsequent wave to identify to the field work agency some key piece of information that they need to conduct the survey (and is captured in the universe as you have noted). Consequently these variables often don’t appear in the final data under the same name, however, e_newimm is the same information in this case. *newimm is a flag that was originally computed in Wave 2 to identify recent immigrants, that is, those who came to the UK between 2007 and 2011.

Best wishes, Victoria.

Actions #3

Updated by Yujung Whang over 7 years ago

Thank you very much for this clarification. This really helps understanding better the codebook and the dataset.

Best,
Yujung

Actions #4

Updated by Victoria Nolan over 7 years ago

  • Status changed from Feedback to Closed
  • % Done changed from 90 to 100
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