Table 3. Categorisation of variables during data pre-processing.
Variable | Original categories | New categories |
---|---|---|
Ethnicity | White | White |
Mixed | Other | |
Black | ||
Asian | ||
Chinese | ||
Other | ||
Employment Status | Full time employed | Employed |
Part time employed | ||
Student | Not seeking employment | |
Retired | ||
House-person | ||
Other | ||
Unemployed jobseeker | Unemployed | |
Unemployed due to ill-health | ||
Marital Status | Married/cohabiting | Married/cohabiting |
Single | Single | |
Separated | No longer married | |
Divorced | ||
Widowed | ||
Highest level of education | Degree or higher | Degree or higher |
Foundation Degree/Diploma | A-level or Diplomas | |
A-level | ||
GCSE | GCSE | |
Other qualifications | None or Other | |
No formal qualifications | ||
Financial Wellbeing | Living Comfortably | OK financially |
Doing alright | ||
Just about getting by | Just about getting by | |
Hard to make ends meet | Struggling financially | |
Very hard to make ends meet | ||
Long-term Health
Condition Status |
None | No long-term physical
health conditions |
Mental Health Only | ||
Diabetes | At least one long-term
physical health condition |
|
Asthma or COPD | ||
Arthritis | ||
Heart Disease | ||
Stroke | ||
Cancer | ||
Kidney Disease |