Hi, I am trying to analyse Wave 10 data and the following variables all have a high number of 'inapplicable':
Given that I am examining differences in cervical screening uptake by ethnicity, it will be important to see if the above variables act as confounders but I can't use them with such a high number as inapplicable.
Please could you let me know the reason for this and if there is a way to overcome this issue?
I would be very grateful for your support.
Updated by Understanding Society User Support Team 8 months ago
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Not every respondent is eligible for every question. To know who is eligible for a specific question, take a look at the description of the "Universe" field in the questionnaire. The value of a variable is -8 for those who are not eligible for that question.
In case of PLBORNC, UKBORN, YR2UK4, if you check the Universes of these questions in the Wave 10 questionnaire, you will see that these are only asked of new entrants. Basically, these are asked in the first wave someone is interviewed. To make it easier to use, we have collected these information as reported in the different waves and put them in one file - xwavedat.
For the quesiton englang, if you check the universse you will see that it is asked of: "Part of the EMBoost, GP Comparison, LDA, or Immigrant and Ethnic Minority Boost sample, or foreign-born continuing respondents and their co-resident sample members, or any other foreign-born identified this wave, AND fed-forward English first language is missing". This question has been asked of others in other waves, you will have to pick up this information from those waves for those who were not eligible in this wave.
Hope this helps.
Understanding Society User Support Team