Inapplicable and missing data
I am working with an appended dataset of the 7 waves, and I noticed something weird.
Some 'basic' variables, such as sex and highest qualification (qfhigh) have too many missing values or 'not applicable'. Also, sometimes in the same pidp the variable sex in with a value in one year and missing in one other year.
Is there any procedure that should be done to report the value of these variables when missing? Why it is so?
Thanks, best, g
#1 Updated by Stephanie Auty about 1 year ago
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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.
Stephanie Auty - Understanding Society User Support Officer
#3 Updated by Stephanie Auty about 1 year ago
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Which data files are you working with? I have checked w_sex in w_indresp and this does not seem to have many missing values. It may be inconsistent over time, as this variable is just based on what data is collected and is not edited. We produce a derived variable w_sex_dv, which is consistent over time and which we recommend should be used.
w_qfhigh has a high number of missing values because it is only asked of new entrants. Please use the variable w_qfhigh_dv which incorporates answers to w_qfhigh from previous waves and also new qualifications asked about since the respondent's first interview.